Patent application number | Description | Published |
20100293170 | SOCIAL NETWORK MESSAGE CATEGORIZATION SYSTEMS AND METHODS - Systems and methods of identifying and categorizing social network messages that are relevant to selected categories and text terms are provided. The frequency of text terms appearing in social network messages are calculated for multiple categories. Based on the calculated text term frequency, social network messages can be identified and/or categorized that match a provided set of text terms. Selecting and/or associating text terms and categories are determined by repeatedly analyzing social network messages. | 11-18-2010 |
20110145348 | SYSTEMS AND METHODS FOR IDENTIFYING TERMS RELEVANT TO WEB PAGES USING SOCIAL NETWORK MESSAGES - Systems and methods for retrieving social network messages and/or web pages in response to search queries are described. One embodiment of the invention includes generating a word list from at least a portion of the content of the web page using a web and message server system, generating an initial list of relevant terms based upon the word list using the web and message server system, identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms, and creating an updated list of relevant terms by using the web and server system to combine terms in the initial list of relevant terms with the additional relevant terms identified using messages posted to at least one social network. | 06-16-2011 |
20120158489 | GENERATION OF ADVERTISING TARGETING INFORMATION BASED UPON AFFINITY INFORMATION OBTAINED FROM AN ONLINE SOCIAL NETWORK - Systems and methods for automatically generating targeting information for presentation of an offer via an online social network using affinity information collected concerning members of online social networks in accordance with embodiments of the invention are disclosed. One embodiment includes indexing member profiles within social networks for affinity to keywords using a targeting system that retrieves data concerning member profiles and activities from servers within an online social network, identifying member profiles that have affinity for at least one offer keyword using the targeting system and the index, identifying additional keywords for which the identified member profiles have affinity using the targeting system and the index, determining a set of keywords that target a desired audience based upon the identified additional keywords, and targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords. | 06-21-2012 |
20120158518 | SYSTEMS AND METHODS FOR AUTOMATICALLY GENERATING CAMPAIGNS USING ADVERTISING TARGETING INFORMATION BASED UPON AFFINITY INFORMATION OBTAINED FROM AN ONLINE SOCIAL NETWORK - Systems and methods for automatically targeting advertising on an online social network using affinity information collected concerning members of one or more online social networks in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a targeting server configured to obtain data from at least one server that forms part of an online social network, where the obtained data describes member profiles of members of the online social network and activities performed on the online social network associated with the member profiles. In addition, the targeting server is configured to detect affinities between a member profile and keywords based upon data describing activities associated with the member profile and to provide the targeting keywords to a server that is part of the online social network so that the online social network displays the specific offer to online social network members targeted using the targeting keywords. | 06-21-2012 |
20130036107 | SYSTEMS AND METHODS FOR TREND DETECTION USING FREQUENCY ANALYSIS - Systems and methods for trend detection using frequency analysis in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, trend detection includes generating a discrete time sequence of word counts for a target word using a trend detection device, performing frequency analysis of the discrete time sequence of word counts to determine contributions of frequency components within different frequency ranges to the discrete time sequence of word counts using the trend detection device, and detecting that the target word is a trending keyword based upon at least the frequency analysis of the discrete time sequence of word counts for the target word using the trend detection device. | 02-07-2013 |
20130232154 | SOCIAL NETWORK MESSAGE CATEGORIZATION SYSTEMS AND METHODS - Systems and methods of identifying and categorizing social network messages that are relevant to selected categories and text terms are provided. The frequency of text terms appearing in social network messages are calculated for multiple categories. Based on the calculated text term frequency, social network messages can be identified and/or categorized that match a provided set of text terms. Selecting and/or associating text terms and categories are determined by repeatedly analyzing social network messages. | 09-05-2013 |
20130332441 | Systems and Methods for Identifying Terms Relevant to Web Pages Using Social Network Messages - Systems and methods for retrieving social network messages and/or web pages in response to search queries are described. One embodiment of the invention includes generating a word list from at least a portion of the content of the web page using a web and message server system, generating an initial list of relevant terms based upon the word list using the web and message server system, identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms, and creating an updated list of relevant terms by using the web and server system to combine terms in the initial list of relevant terms with the additional relevant terms identified using messages posted to at least one social network. | 12-12-2013 |
20140089084 | GENERATION OF ADVERTISING TARGETING INFORMATION BASED UPON AFFINITY INFORMATION OBTAINED FROM AN ONLINE SOCIAL NETWORK - Systems and methods for automatically generating targeting information for presentation of an offer in accordance with embodiments of the invention are disclosed. One embodiment includes indexing member profiles within one or more social networks for affinity to keywords using a targeting system that retrieves data concerning member profiles and activities from servers within an online social network, identifying member profiles that have affinity for at least one offer keyword using the targeting system and the index, identifying additional keywords for which the identified member profiles have affinity using the targeting system and the index, determining a set of keywords that target a desired audience based upon the identified additional keywords using the targeting server, and targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords determined by the targeting server. | 03-27-2014 |
20140280178 | Systems and Methods for Labeling Sets of Objects - Systems and methods for labeling sets of objects using a taxonomy in accordance with embodiments of the invention are disclosed. In one embodiment, an object labeling server system includes a processor configured to obtain a set of object data including a set of keywords, score the object data based on a taxonomy including resource data, category information, relationships between the category information and resource data, and relationships between the category information, cluster the object data into groups of object data based on the scores, determine category data for at least one of the groups of object data based on the taxonomy, and generate a label for at least one of the groups of object data based on the determined category data for the group of object data. | 09-18-2014 |