Patent application number | Description | Published |
20130031090 | METHODS AND SYSTEMS FOR IDENTIFYING SIMILAR PEOPLE VIA A BUSINESS NETWORKING SERVICE - Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user. | 01-31-2013 |
20130159293 | GENERATING A SUPPLEMENTAL DESCRIPTION OF AN ENTITY - A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity. | 06-20-2013 |
20130318180 | LEVERAGING A SOCIAL GRAPH TO DELIVER RELEVANT RECOMMENDATIONS - Techniques for leveraging a social graph to identify senders and recipients of relevant recommendations and to facilitate the delivery of the relevant recommendations from the senders to the recipients are described. For example, a recommender is identified based on the recommender being a member of a social networking service who has interacted with an item of web-based content. A recommendee is identified based on the recommendee being another member of the social networking service who is connected to the recommender via a social graph maintained by the social networking service and based on having an affinity score for the item that exceeds a recommendee affinity score threshold and a connection strength to the recommender that exceeds a connection strength threshold. The recommender is sent a communication that invites the recommender to recommend the item to the recommendee. With some example embodiments, the communication is sent to the recommender within a pre-determined time measured from the time the recommender initiated an interaction with the item of web-based content. | 11-28-2013 |
20140025595 | APPLYING FOR A JOB USING SOCIAL NETWORK INFORMATION - Systems and methods for displaying a user interface object associated with a job candidate's social networking site proximate to a job listing presented by a website are described. When a job candidate selects the user interface object, the systems and methods identify and/or obtain information associated with the job candidate that is located or otherwise stored at the social networking site of which the job candidate is a member. Once the information is identified and/or obtained, the systems and methods provide the information to the website, such as to a job application submission system associated with the website. | 01-23-2014 |
20140025596 | Presenting job listings based on the viewer of a webpage - Systems and methods for displaying job listings via a website are described. In some examples, the systems identify information associated with a viewer of a website, and selectively display job listing information based of the information associated with the viewer of the website, such as information attributed to the viewer within a social network of which the viewer is a member. | 01-23-2014 |
20140025597 | APPLYING FOR A JOB USING A MOBILE COMPUTING DEVICE - Systems and methods for displaying a user interface object associated with a job candidate's social networking site proximate to a job listing presented by a website are described. When a job candidate selects the user interface object, the systems and methods identify and/or obtain information associated with the job candidate that is located or otherwise stored at the social networking site of which the job candidate is a member. Once the information is identified and/or obtained, the systems and methods provide the information to the website, such as to a job application submission system associated with the website. | 01-23-2014 |
20140122571 | Target Criterion-Based Data File Distribution - A system may include a network interface and a batch processor coupled to the network interface. The batch processor may be configured to obtain social network profiles corresponding to entities and to obtain a target criterion. The batch processor may be configured to identify at least some of the entities based on a relationship between the social network profiles and the target criterion and to transmit, via the network interface, a data file to a computing device of the at least some of the entities, wherein the data file contains information related, at least in part, to the target criterion. | 05-01-2014 |
20140136433 | REFERRING MEMBERS OF A SOCIAL NETWORK AS JOB CANDIDATES - Systems and methods for referring members of a social network as job candidates are described. In some examples, the systems and methods receive information associated with a job or a company associated with a job, identify members of a social network based on attributes for the members, and perform an action (e.g., send an email or update a widget on a profile page) associated with a member of the social network that is connected to the identified members and affiliated with the company. | 05-15-2014 |
20140136434 | REFERRING MEMBERS OF A SOCIAL NETWORK AS JOB CANDIDATES - Systems and methods for referring members of a social network as job candidates are described. In some examples, the systems and methods receive information associated with a job or a company associated with a job, identify members of a social network based on attributes for the members, and perform an action (e.g., send an email or update a widget on a profile page) associated with a member of the social network that is connected to the identified members and affiliated with the company. | 05-15-2014 |
20140143163 | USER CHARACTERISTICS-BASED SPONSORED JOB POSTINGS - A system may include a network interface, a user interface, and a recommendation engine. The user interface may be configured to receive a job characteristic of a job profile of a job posted to the social network and a job bid from an entity related to job to the social network. The recommendation engine may be configured to determine an aggregate job score for the user based on a relevance of the job characteristic to a user characteristic and the job bid. The network interface may be configured to transmit a message related to the job to the user based, at least in part, on the aggregate job score. | 05-22-2014 |
20140149328 | EVALUATION OF A RECOMMENDER - A machine may implement a recommender that provides recommendations to users. The machine may be configured to present a first version of the recommender configured by various parameters. A user may submit a message to the machine, and the machine may identify a parameter among the various parameters by tokenizing the message and identifying the parameter among the tokens. The machine may then generate a second version of the recommender by modifying the parameter and configuring the second version according to the modified parameter. The machine may then present the first and second versions of the recommender contemporaneously two different portions of the users. By tokenizing a further message received from the users, the machine may evaluate the first and second versions and determine whether the second version is a replacement of the first version. | 05-29-2014 |
20140156675 | PRESENTING A USER PROFILE - A first user of a presentation machine may be a recruiter that initiates an action in reference to a first user profile. The first user profile may describe a first candidate for a job. The presentation machine may identify the first user profile and determine a similarity score that indicates a degree of similarity between the first user profile and a second user profile that describes a second candidate for the job. The presentation machine may also access a volatility score that indicates a likelihood that the second candidate is receptive to a proposal that the second candidate be employed by an employer. Based on the similarity score and on the volatility score, the presentation machine may determine a rank of the second user profile. Based on the determined rank, the presentation machine may present the second user profile to the first user. | 06-05-2014 |
20140164136 | BROAD MATCHING ALGORITHM FOR DISPLAY ADVERTISEMENTS - A method of matching advertisements to users is disclosed. A plurality of attributes of a population of users is identified. A selection is received of an attribute of the plurality of attributes to which a target value is to be broadly matched. A correspondence of an advertisement to a user is determined based on a broad matching of the target value to the attribute. The advertisement is matched to the user based at least in part on the determining of the correspondence. | 06-12-2014 |
20140195549 | SUGGESTED OUT OF NETWORK COMMUNICATION RECIPIENTS - Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response. | 07-10-2014 |
20140244612 | TECHNIQUES FOR QUANTIFYING THE INTENT AND INTERESTS OF MEMBERS OF A SOCIAL NETWORKING SERVICE - Techniques are described herein for deriving, for each member of a social networking service, a set of metrics representing a measure of the member's intent and interests. For example, a set of member-intent and member-interest scores are derived by detecting which of several applications and services that a particular user interacts with, when the interactions occur, the frequency of the interactions, the particular type of interactions, the nature of the any particular content (e.g., subject matter, topic, etc.) with which the member is interacting, and so forth. The member-intent and member-interest scores are then made available to a wide-variety of applications and services, for example, for use in personalizing various experiences to best suit the intent and interests of each member. | 08-28-2014 |
20140297580 | DETERMINING A CHURN PROBABILITY FOR A SUBSCRIBER OF A SOCIAL NETWORK SERVICE - Systems and methods for reducing a churn rate associated with subscribers of social network services are described. In some example embodiments, the systems and methods may access activity information associated with a former subscriber of a social network service, compare the accessed activity information to activity information associated with subscribers of the social network service, identify one or more differences between the activity information associated with the former subscriber of the social network service and the activity information associated with the subscribers of the social network service, and perform an action based on the identified one or more differences. | 10-02-2014 |
Patent application number | Description | Published |
20140351259 | GENERATING RECOMMENDATION CLUSTERS IN A SOCIAL NETWORK - Techniques for generating recommendation cluster within a social network service are described. Consistent with some embodiments, sample members in a social network service are identified. The sample members may be associated with prior member activity involving a source member. A cluster category this then selected based on a member attribute shared by a plurality of the sample members. In turn, a recommendation cluster is generated based on the selected cluster category. Generating the recommendation duster may involve selecting member profiles that match the cluster category. The member profiles selected in this way form the recommendation cluster. One or more of the member profiles of the recommendation cluster are then surfaced to a client device operated by the source member. | 11-27-2014 |
20150081576 | GENERATING A SUPPLEMENTAL DESCRIPTION OF AN ENTITY - A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity. | 03-19-2015 |
20150112765 | SYSTEMS AND METHODS FOR DETERMINING RECRUITING INTENT - Techniques for identifying members of a social network service that exhibit recruiting intent are described. According to various embodiments, a set of members of an online social network service that self-identify as recruiters may be identified. The set of members that self-identify as recruiters may then be clustered into a group of engaged recruiters and a second group of non-engaged recruiters, and the group of engaged recruiters may be categorized as members exhibiting recruiting intent. Behavioral log data associated with the members exhibiting recruiting intent may then be accessed and classified as recruiting intent signature data. Thereafter, prediction modeling may be performed based on the recruiting intent signature data and a prediction model, to identify members of the online social network service that are associated with behavioral log data matching the recruiting intent signature data. | 04-23-2015 |
20150120714 | TEMPORAL-BASED PROFESSIONAL SIMILARITY - A system and method for temporal-based professional similarity are provided. In example embodiments, a request to identify, from among a plurality of member profiles of a social network service, a profile that is similar to a source profile, is received. Profile data of the source profile and a candidate profile are accessed from the social network service. Profile features are extracted from the profile data. The profile features include source features extracted from the profile data of the source profile and candidate features extracted from the profile data of the candidate profile. Respective profile features correspond to temporal data included in the profile data. Data structures are generated by structuring the profile features according to the temporal data. The data structures include a source data structure generated using the source features and a candidate data structure generated using the candidate features. A profile similarity score is determined by comparing the candidate data structure with the source data structure. The profile similarity score indicates the similarity between the candidate profile and the source profile. | 04-30-2015 |
20150127584 | EVALUATION OF A RECOMMENDER - A machine may implement a recommender that provides recommendations to users. The machine may be configured to present a first version of the recommender configured by various parameters. A user may submit a message to the machine, and the machine may identify a parameter among the various parameters by tokenizing the message and identifying the parameter among the tokens. The machine may then generate a second version of the recommender by modifying the parameter and configuring the second version according to the modified parameter. The machine may then present the first and second versions of the recommender contemporaneously two different portions of the users. By tokenizing a further message received from the users, the machine may evaluate the first and second versions and determine whether the second version is a replacement of the first version. | 05-07-2015 |
20150134575 | USING DATA OBTAINED FROM AN ONLINE SOCIAL NETWORK TO OPTIMIZE SUBSCRIPTION OFFERS - The disclosed embodiments relate to a system that uses data from an online social network to optimize subscription offers. During operation of the online social network, the system gathers data associated with subscription offers that were presented to members of the online social network, including information about which subscription offers were converted. Next, the system uses a machine-learning technique to train a model based on the gathered data. Finally, the system uses the trained model to select subscription offers to present to a member of the online social network. | 05-14-2015 |
20150134745 | METHODS AND SYSTEMS FOR IDENTIFYING MEMBER PROFILES SIMILAR TO A SOURCE MEMBER PROFILE - Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user. | 05-14-2015 |
20150142584 | RANKING CONTENT BASED ON MEMBER PROPENSITIES - A system, apparatus, method and computer-program product are provided for determining affinities between members of an on-line service and/or one member's likely propensity for content published by or on behalf of another member. Members of the service include individuals and organizations. A content item may be an announcement by or for a member, an advertisement, a job listing or something else. Content items available for service to an individual member are ranked based on the member's propensity for consuming them, as reflected in scores computed for each item. An item's propensity score may be calculated based on the relevance and/or proximity between the member and an organization featured in or associated with the item. Relevance may measure the similarity between profiles of the individual and the organization. Proximity may be affected by whether the individual and/or associates of the individual follow the organization, visit a page of the organization, etc. | 05-21-2015 |
20150163190 | SUGGESTED OUT OF NETWORK COMMUNICATION RECIPIENTS - Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response. | 06-11-2015 |
20150227892 | USER CHARACTERISTICS-BASED JOB POSTINGS - A computer system maintains a member characteristic of a member of an online social networking service, and maintains a job characteristic of a job profile of a job posted to a job posting service. The system further receives an input from the member to modify the member characteristic, compares the modified member characteristic with the job characteristic, and transmits a message to the member based on the comparison of the modified member characteristic with the job characteristic. | 08-13-2015 |
20150242887 | METHOD AND SYSTEM FOR GENERATING A TARGETED CHURN REDUCTION CAMPAIGN - A system to generate a targeted churn reduction campaign in an on-line social networking system may be implemented as a churn reduction campaign generator. In one embodiment, a churn reduction campaign generator utilizes a subscriber retention model and a churn probability model. When there is an indication, within an on-line social networking system, that a member, who is a subscriber to a paid service in the on-line social networking system, is likely to fail to renew their subscription (or “churn”), the churn reduction campaign generator executes the subscriber retention model to trigger a targeted subscriber retention campaign. | 08-27-2015 |
20150347974 | MULTI-OBJECTIVE RECRUITER SEARCH - A system includes a database, a network interface, and a processor. The database includes, for each multiple users of a social network, profile data and activities, by the user, related to the social network. The network interface is configured to be communicatively coupled to user devices associated with the population of users. The processor is configured to obtain a recruitment search query for a position in an organization, compare the recruitment search query against the profile data of at least some of the users to obtain a comparison, determine, for each of the at least some of the users, a likelihood of interacting with a recruiter associated with the position based on the activities of each of the at least some of the users, and transmit, to at least one of the users, a communication related to the position based, at least in part, on the comparison and the likelihood of interacting. | 12-03-2015 |
20150348062 | CRM CONTACT TO SOCIAL NETWORK PROFILE MAPPING - In an example embodiment, contact information pertaining to a contact related to a first user in a Customer Relationship Management (CRM) system is obtained. Then a similarity matching process on one or more fields in the contact information and corresponding one or more fields in information obtained from a social network service to locate a match between the contact and a social network profile in the social network service. The mapping for the match is stored in a data store. The mappings are used provide insights to the first user. | 12-03-2015 |
20150378986 | CONTEXT-AWARE APPROACH TO DETECTION OF SHORT IRRELEVANT TEXTS - Systems and methods are disclosed for determining whether a short amount of text is irrelevant. Initially, an article is selected having one or more comments of varying length. Depending on the number of comments available, a native context may be constructed based on a given comment and other neighboring comments. In other embodiments, a transferred context may be constructed from the given comment and topically similar comments extracted from other, topically similar articles. A native context-aware feature may be determined from the constructed native context and a transferred context-aware feature may be determined from the constructed transferred context. These features may be leveraged by a language classifier to determine whether a given comment is irrelevant. | 12-31-2015 |
20150379528 | SOCIAL NETWORK USAGE-BASED SALES INSIGHTS - In an example embodiment, information about one or more Customer Relationship Management (CRM) entities is received from a CRM system, the information including an identification of each of the one or more CRM entities and usage information about how a user interacted with each of the one or more CRM entities. Then, at a software tool distinct from the CRM system, one or more actionable insights related to the one or more CRM entities are identified. The relevance of the one or more actionable insights to the user is then determined based on the usage information. One or more of the one or more actionable insights are then presented to the user based on the determined relevance via the software tool. | 12-31-2015 |
20150379602 | LEAD RECOMMENDATIONS - A method and system for providing lead recommendations are disclosed. A server system stores profile information for a plurality of members of a server system. The server system then analyzes the stored profile information to identify one or more potential sales lead recommendations for a first member of the server system. The server system then ranks the one or more identified potential sales lead recommendations. The server system selects one or more of the identified sales lead recommendations and transmits the selected one or more identified sales lead recommendations to a client device associated with the first member of the server system. | 12-31-2015 |
20150379603 | ACCOUNT RECOMMENDATIONS - A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The sewer system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the sewer system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation. | 12-31-2015 |
20150379647 | SUGGESTED ACCOUNTS OR LEADS - In an example embodiment, a request to onboard a first user to a sales tool is received. Then usage information related to the first user is retrieved from a social networking service. One or more entities may then be generated in the sales tool based on the usage information from the social networking service. A score can be calculated for each of the one or more entities, the score indicating a likelihood that the first user will wish to receive insights regarding the one or more entities from the sales tool. Then the one or more entities are ranked based on the calculated score for each of the one or more entities. The one or more entities can be added as entries in the sales tool based on the ranking. | 12-31-2015 |
20160034425 | PROVIDING RECOMMENDATIONS FOR ELECTRONIC PRESENTATIONS BASED ON CONTEXTUAL AND BEHAVIORAL DATA - Systems and methods are disclosed that recommend one or more electronic presentations to a user based on one or more factors. These factors may include contextual information, behavioral information, profile information, or combinations of the foregoing. Contextual information may include content and/or features extracted from a given electronic presentation. Behavioral information may include user behavioral data, such as the number of times a user has viewed a presentation, the amount of the presentation viewed by the user, presentations previously viewed by the user, and other such behavioral data. Profile information may include user professional profile information, such as skills the user has identified as possessing, employment history information, and other such user professional profile information. | 02-04-2016 |
20160035046 | INFLUENCER SCORE - A method and system are shown for identifying the most influential members of a social network. The social networking system receives a request to rank a plurality of members of a social networking system based on the influence held by each of the plurality of members. For a respective member in the plurality of members of the social networking system, the social networking system analyzes member interactions of the respective member on the social networking system and generates an influencer score for the respective member based on the analysis of member interactions through the social networking system. The social networking system orders two or more members in the plurality of members of the social networking system based on the influencer scores associated with the two or more members. | 02-04-2016 |
20160043987 | SUGGESTED OUT OF NETWORK COMMUNICATION RECIPIENTS - Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response. | 02-11-2016 |
20160065604 | ANOMALOUS EVENT DETECTION BASED ON METRICS PERTAINING TO A PRODUCTION SYSTEM - A machine may be configured to detect an anomalous event based on metrics pertaining to a production system. For example, the machine analyzes a time series of values associated with a metric pertaining to a production system. The machine identifies a pattern associated with the time series based on the analysis of the time series. The pattern may describe an occurrence of particular values at particular timestamps of the time series. The machine determines a range of potential values for a next timestamp in the time series based on the pattern. The machine assigns a score value to an actual value associated with the metric and corresponding to the next timestamp. The assigning of the score value may be based on a comparison of the actual value and the range of potential values. The machine identifies the actual value as a candidate for an alert based on the score value. | 03-03-2016 |
Patent application number | Description | Published |
20160103563 | SYSTEM AND METHOD FOR AUTHORING, DISTRIBUTING, VIEWING AND SAVING WRAP PACKAGES - A system of tools and components that enable wrap users to interact with a wrap package infrastructure, creating and improving a wrap user experience. The system and components include a wrap authoring tool, a wrap runtime viewer, a wrap asset management tool, and a wrap library. Through these tools and components, wrap users (i) contact and interact with the wrap infrastructure and (ii) are empowered with the ability to author, receive, distribute, share, view, consume, categorize, organize and distribute wrap packages, which together, enhance and define the overall wrap user experience. | 04-14-2016 |
20160103586 | SYSTEM AND METHOD FOR AUTHORING, DISTRIBUTING, VIEWING AND SAVING WRAP PACKAGES - A system of tools and components that enable wrap users to interact with a wrap package infrastructure, creating and improving a wrap user experience. The system and components include a wrap authoring tool, a wrap runtime viewer, a wrap asset management tool, and a wrap library. Through these tools and components, wrap users (i) contact and interact with the wrap infrastructure and (ii) are empowered with the ability to author, receive, distribute, share, view, consume, categorize, organize and distribute wrap packages, which together, enhance and define the overall wrap user experience. | 04-14-2016 |
20160103587 | SYSTEM AND METHOD FOR AUTHORING, DISTRIBUTING, VIEWING AND SAVING WRAP PACKAGES - A system of tools and components that enable wrap users to interact with a wrap package infrastructure, creating and improving a wrap user experience. The system and components include a wrap authoring tool, a wrap runtime viewer, a wrap asset management tool, and a wrap library. Through these tools and components, wrap users (i) contact and interact with the wrap infrastructure and (ii) are empowered with the ability to author, receive, distribute, share, view, consume, categorize, organize and distribute wrap packages, which together, enhance and define the overall wrap user experience. | 04-14-2016 |
20160103904 | DEFINING AND DELIVERING WRAP PACKAGES OF CARDS WITH INSIGHT CONTENT DERIVED FROM THE USE OF ANALYTICS - A method for using analytics to define and deliver wrap packages of cards with insight content. The method includes the steps of generating insight content by applying analytics to a set of data, inserting or associating the insight content into one or more content component container(s) included in a set of cards of a wrap package, and generating a wrap descriptor for the wrap package. | 04-14-2016 |
20160104211 | AUTHORING AND DELIVERING WRAP PACKAGES OF CARDS WITH CUSTOM CONTENT TO TARGET INDIVIDUALS - A method for using analytics to define and deliver wrap packages of cards with insight content. The method includes the steps of generating insight content by applying analytics to a set of data, inserting or associating the insight content into one or more content component container(s) included in a set of cards of a wrap package, and generating a wrap descriptor for the wrap package. | 04-14-2016 |
20160105771 | USING BEACONS TO AUTHOR AND DELIVER WRAP PACKAGES OF CARDS WITH CUSTOM CONTENT TO TARGET INDIVIDUALS - A method for defining and delivering wrap packages of cards with custom content to target individuals. The method involves (a) defining a set of cards of a wrap package with one or more variable content container(s), (b) ascertaining if a target recipient of the wrap package has roamed into a range of a beacon, (c) identifying the target recipient in the range of the beacon, (d) associating custom content with the one or more variable content container(s) of the set of cards of the wrap package after the target recipient is identified and (e) distributing the wrap package to the target recipient, the distributed wrap package having the custom content associated with the one or more variable content container(s) of the set of cards of the wrap package respectively. | 04-14-2016 |
Patent application number | Description | Published |
20090177000 | ALKYLENE OXIDE CATALYST AND USE THEREOF - A supported silver catalyst and use thereof in a process for producing an alkylene oxide, such as ethylene oxide, by the direct oxidation of an alkylene with oxygen or an oxygen-containing gas, wherein the catalyst provides improved stability and improved resilience to reactor upsets and timely recovery to substantially pre-upset levels of catalyst activity and/or efficiency. In some embodiments, the catalyst also exhibits improved activity. A catalyst capable of producing ethylene oxide at a selectivity of at least 87 percent while achieving a work rate of at least 184 kg/h/m3 at a temperature of no greater than 235° C. when operated in a process where the inlet feed to a reactor containing the catalyst comprises ethylene, oxygen, and carbon dioxide, wherein the concentration of carbon dioxide in the inlet feed is greater than or equal to 2 mole percent. | 07-09-2009 |
20100056816 | SHAPED POROUS BODIES OF ALPHA-ALUMINA AND METHODS FOR THE PREPARATION THEREOF - This invention relates to shaped porous bodies of alpha-alumina platelets which are useful as catalyst carriers, filters, membrane reactors, and preformed bodies for composites. This invention also relates to processes of making such shaped bodies and processes for modifying the surface composition of alpha-alumina. | 03-04-2010 |
20100126909 | METHOD FOR REMOVAL OF MERCURY FROM HYDROCARBON FEEDSTOCKS - The invention provides a method for removing mercury from a liquid or gas hydrocarbon stream, mixtures thereof, including mixtures of liquid streams with a solid carbonaceous substance, by contacting the hydrocarbon stream with a composition comprising silver and a support material, wherein the composition as measured by ammonia chemisorption has a surface acidity in the range of 0.1-10.0 μmole of irreversible NH | 05-27-2010 |
20110082029 | ALUMINA CARRIERS AND SILVER-BASED CATALYSTS FOR THE PRODUCTION OF ALKYLENE OXIDES - An improved carrier useful for preparing a catalyst having excellent catalytic performance when used in the production of alkylene oxide, such as ethylene oxide. The carrier is obtained by a) impregnating a preformed alpha-alumina carrier with at least one modifier selected from among alkali metal silicates and alkaline earth metal silicates, b) drying the impregnated carrier; and c) calcining dried carrier. The carrier may optionally be washed, prior to being impregnated by conventional catalytic material and/or promoter material. | 04-07-2011 |
20140088316 | ALKYLENE OXIDE CATALYST AND USE THEREOF - A supported silver catalyst and use thereof in a process for producing an alkylene oxide, such as ethylene oxide, by the direct oxidation of an alkylene with oxygen or an oxygen-containing gas, wherein the catalyst provides improved stability and improved resilience to reactor upsets and timely recovery to substantially pre-upset levels of catalyst activity and/or efficiency. In some embodiments, the catalyst also exhibits improved activity. A catalyst capable of producing ethylene oxide at a selectivity of at least 87 percent while achieving a work rate of at least 184 kg/h/m | 03-27-2014 |
20160082423 | ALKYLENE OXIDE CATALYST AND USE THEREOF - A supported silver catalyst and use thereof in a process for producing an alkylene oxide, such as ethylene oxide, by the direct oxidation of an alkylene with oxygen or an oxygen-containing gas, wherein the catalyst provides improved stability and improved resilience to reactor upsets and timely recovery to substantially pre-upset levels of catalyst activity and/or efficiency. In some embodiments, the catalyst also exhibits improved activity. A catalyst capable of producing ethylene oxide at a selectivity of at least 87 percent while achieving a work rate of at least 184 kg/h/m | 03-24-2016 |