Patent application number | Description | Published |
20090112781 | PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR - Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein. | 04-30-2009 |
20090144262 | SEARCH QUERY TRANSFORMATION USING DIRECT MANIPULATION - A search query transformation system and method for transforming and refining a search query are described. Embodiments of the system and method use various graphical components and controls. Direct manipulation ensures that the searcher is driving the changes in the search queries using a pointing device. Embodiments of the search query transformation system and method include a search query re-weighting user interface (UI) component for graphically adjusting and re-weighting weights of search terms, and a search query term replacement UI component for graphically replacing a search term in a query or add a synonym to the query. Embodiments of the system and method also include a search query suggestion component, which provides query revision recommendations to a searcher that are tailored to the direct manipulation query refinement interface. | 06-04-2009 |
20090187515 | QUERY SUGGESTION GENERATION - Described herein is a system that facilitates assigning indications of usefulness to query suggestions. The system includes a query suggestion generator component that receives a query and generates a query suggestion based at least in part upon the received query. A model component outputs an indication of usefulness with respect to the query suggestion, wherein the model component is a machine-learned model of user behavior with respect to query suggestions. | 07-23-2009 |
20090187540 | PREDICTION OF INFORMATIONAL INTERESTS - Described herein is a system that includes a receiver component that receives an indication that a user has accessed a search engine to initiate a search session. An analyzer component predicts informational interests of the user upon receipt of the indication and outputs an informational item that corresponds to the predicted informational interests of the user, wherein the analyzer component is configured to output the informational item prior to the user issuing a query to the search engine. | 07-23-2009 |
20090193093 | REDUCING UNWANTED AND UNSOLICITED ELECTRONIC MESSAGES BY EXCHANGING ELECTRONIC MESSAGE TRANSMISSION POLICIES AND SOLVING AND VERIFYING SOLUTIONS TO COMPUTATIONAL PUZZLES - The present invention provides for generating inputs that can be provided to a message classification module to facilitate more reliable classification of electronic messages, such as, for example, as unwanted and/or unsolicited. In one embodiment, a sending messaging server provides an appropriate response to address verification data thereby indicating a reduced likelihood of the sending messaging server using a forged network address. In another embodiment, it is determined if a messaging server is authorized to send electronic messages for a domain. In yet another embodiment, electronic message transmission policies adhered to by a domain are identified. In yet a further embodiment, a sending computer system expends computational resources to solve a computational puzzle and includes an answer document in an electronic message. A receiving computer system receives the electronic message and verifies the answer document. | 07-30-2009 |
20100057675 | Search Provider Recommendation - A component presents access to a recommended search provider via a user interface element. In an example embodiment, a device-implemented method for recommending a search provider includes acts of receiving, ascertaining, and modifying. A search query input is received. A recommended search provider is ascertained at least partially responsive to the search query input. A user interface is modified to indicate the recommended search provider. | 03-04-2010 |
20100088380 | MESSAGE RENDERING FOR IDENTIFICATION OF CONTENT FEATURES - Architecture for detecting and removing obfuscating clutter from the subject and/or body of a message, e.g., e-mail, prior to filtering of the message, to identify junk messages commonly referred to as spam. The technique utilizes the powerful features built into an HTML rendering engine to strip the HTML instructions for all non-substantive aspects of the message. Pre-processing includes pre-rendering of the message into a final format, which final format is that which is displayed by the rendering engine to the user. The final format message is then converted to a text-only format to remove graphics, color, non-text decoration, and spacing that cannot be rendered as ASCII-style or Unicode-style characters. The result is essentially to reduce each message to its common denominator essentials so that the junk mail filter can view each message on an equal basis. | 04-08-2010 |
20100185649 | SUBSTANTIALLY SIMILAR QUERIES - A system described herein includes analyzer component that analyzes queries submitted by users and corresponding URLs selected by the users, wherein the queries include a first query and a second query, and wherein the analyzer component determines that the first query and the second query are substantially similar queries. The system additionally includes a correlator component that, responsive to the analyzer component determining that the first query and the second query are substantially similar, generates correlation data that indicates that the first and second queries are substantially similar. | 07-22-2010 |
20100228777 | Identifying a Discussion Topic Based on User Interest Information - Functionality is described for identifying a discussion topic based on user interest information. The user interest information may originate from one or more sources, such as the user's search-related behavior. The functionality then provides an opportunity for the user to engage in a communication exchange associated with the identified discussion topic. | 09-09-2010 |
20100281012 | AUTOMATIC RECOMMENDATION OF VERTICAL SEARCH ENGINES - The automatic search engine recommendation technique described herein automatically recommends topic-specific search engines for user queries. In one embodiment, it automatically matches each query submitted to a non-topic specific or general search engine with one or more vertical search engines using a recommendation model and a set of features. For a given query, one embodiment of the technique suggests vertical search engines and topic-specific search results along with the search results from the general search engine. | 11-04-2010 |
20100325133 | DETERMINING A SIMILARITY MEASURE BETWEEN QUERIES - A system described herein includes a receiver component that receives a dataset that is stored in a computer-readable medium of a computing device, wherein the dataset includes a plurality of queries issued by users to a search engine and a plurality of search results selected by the users upon issuing the plurality of queries. A distribution determiner component determines click distributions over the search results selected by the users with respect to the plurality of queries. A labeler component labels at least two queries in the plurality of queries as being substantially similar to one another based at least in part upon the click distributions over the search results selected by the users with respect to the plurality of queries. | 12-23-2010 |
20110202533 | Dynamic Search Interaction - This patent application pertains to dynamic search interaction. One example includes an organizational component configured to obtain a search query from a user. The organizational component can also be configured to obtain related search queries. The organizational component can further be configured to organize the related search queries by topic and to estimate a relative likelihood that an intent of the user matches an individual topic. This example also includes an image generation component configured to cause the organized related search queries to be presented on a graphical user interface (GUI) in a manner that reflects the relative likelihood. | 08-18-2011 |
20110213761 | SEARCHABLE WEB SITE DISCOVERY AND RECOMMENDATION - A searchable web site discovery and recommendation system and method for discovering and recommending searchable web sites to a user of a search engine. In general, given a search query by a user embodiments of the system and method discover and then recommend a list of searchable web sites. Embodiments of the system and method discover and recommend searchable web sites using client-side query behavior logs. A set of descriptive features is automatically extracted from the logs. In addition, embodiments of the system and method expand the initial search query by submitting the query to a general search engine and leveraging snippets from the search engine results. Embodiments of the system and method model a conditional probability of a searchable web site based on four components and the extracted descriptive features. A ranked list of recommended searchable web sites is obtained from the conditional probability and displayed to a user. | 09-01-2011 |
20110225192 | AUTO-DETECTION OF HISTORICAL SEARCH CONTEXT - Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user. | 09-15-2011 |
20110238648 | PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR - Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein. | 09-29-2011 |
20110313843 | SEARCH ADVERTISEMENT TARGETING - Described is processing the search results obtained from a search engine to determine advertisements that match properties of those search results. For example, the URL-related information or domain-related information in the search results may be used to select an advertisement. Also described are various conditions that may need to be met before an advertisement is selected. Further, an advertisement may be modified to include information in the search results, such as to insert a competing company's name that appears in a search result into the advertisement. Also described is a system for returning keywords in response to a URL/domain. | 12-22-2011 |
20120271811 | PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR - Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein. | 10-25-2012 |
20120324348 | READING EASE OF TEXT ON A DEVICE - One or more techniques and/or systems are disclosed for improving reading ease of text displayed by a device. Reading-related feedback, such as feedback that indicates user reading speed and/or user reading comprehension, can be received for a user of the device. One or more display-related characteristics, such as characteristics that indicate how text is displayed by the device, can be received for the device. Using the reading-related feedback and the one or more display-related characteristics, a reading model can be created that can indicate desired display parameters for displaying the text on the device. The desired display parameters indicated by the reading model may be used to improve reading ease of the text, displayed by the device, for the user. | 12-20-2012 |
20130318116 | Advanced Spam Detection Techniques - The subject invention provides for an advanced and robust system and method that facilitates detecting spam. The system and method include components as well as other operations which enhance or promote finding characteristics that are difficult for the spammer to avoid and finding characteristics in non-spam that are difficult for spammers to duplicate. Exemplary characteristics include examining origination features in pairs, analyzing character and/or number sequences, strings, and sub-strings, detecting various entropy levels of one or more character sequences, strings and/or sub-strings as well as analyzing message and/or feature sizes. | 11-28-2013 |