Patent application number | Description | Published |
20090164446 | USER FEEDBACK FOR SEARCH ENGINE BOOSTING - A system, method and program product for that utilizes user feedback as a boosting mechanism for closed loop content space search processes, such as site-specific web search engines. A search engine is disclosed that includes: a system for searching a database of content items such as web pages; a data collection system for collecting user feedback from users viewing displayed content items regarding information appearing in said displayed content items; a scoring system for assigning a score to content items from the database based on the user feedback; and a system for ranking a set of search results based on the score assigned to content items in the set of search results. | 06-25-2009 |
20090271788 | WEB BASED TASK COMPLETENESS MEASUREMENT - A system, method and program product for providing measure the completeness of a task in a web based environment and for providing dynamic marketing and other adaptive behavior based on how far a user has completed the task. A system is provided that includes: a task definition system for associating subsets of documents available via a content delivery system with a plurality of tasks; a tracking system for tracking which documents have been viewed by a user; a task determination system for determining which of the plurality of tasks the user is engaged in performing; and a progress analysis system for analyzing a progress the user has achieved towards completing the task. | 10-29-2009 |
20100030565 | GROUP BASED TASK ANALYSIS - A system, method and program product for analyzing tasks being performed by a group in an online environment. Included is a task definition system for associating subsets of documents available via a content delivery system with a plurality of tasks; a group identification system for identifying a group to which a user participating in the e-commerce environment belongs; a tracking system for tracking which documents have been viewed by users within the group; a task determination system for determining which of the plurality of tasks the group is engaged in performing; and a progress analysis system for analyzing a progress the group has achieved towards completing the task. | 02-04-2010 |
20100235367 | CLASSIFICATION OF ELECTRONIC MESSAGES BASED ON CONTENT - Classifying electronic mail (e-mail) based on content and predefined categories. Content of a received e-mail may be analyzed to determine one of a plurality of predefined categories into which the e-mail is classified. A relevancy score may also be calculated to indicate the strength of correlation between the e-mail and the category. A user may be allowed to sort e-mails in an e-mail box based on the category names and/or relevancy scores. | 09-16-2010 |
20100306204 | DETECTING DUPLICATE DOCUMENTS USING CLASSIFICATION - Systems, methods and articles of manufacture are disclosed for detecting a duplicate document. A plurality of documents may be assigned to categories, each category corresponding to a collection of duplicates, or near duplicate documents. A new document may be received. The new document may be evaluated against each category to determine a similarity score between the new document and each category. The new document may be identified as a duplicate based on the similarity scores and thresholds for each category. An action may then be performed on the duplicate based on duplication rules. The thresholds and duplication rules may be customized by a user. | 12-02-2010 |
20110004573 | IDENTIFYING TRAINING DOCUMENTS FOR A CONTENT CLASSIFIER - Systems, methods and articles of manufacture are disclosed for identifying a training document for a content classifier. One or more thresholds may be defined for designating a document as a training document for a content classifier. A plurality of documents may be evaluated to compute a score for each respective document. The score may represent suitability of a document for training the content classifier with respect to a category. The score may be computed based on content of the plurality of documents, metadata of the plurality of documents, link structure of the plurality of documents, user feedback (e.g., user supplied document tags) received for the plurality of documents, and document metrics received for the plurality of documents. Based on the computed scores, a training document may be selected. The content classifier may be trained using the selected training document. | 01-06-2011 |
20110004609 | GENERATING SEARCH RESULTS BASED ON USER FEEDBACK - Systems, methods and articles of manufacture are disclosed for generating search results based on user feedback. A request may be received to generate search results retrieved using a search string. The request may include user feedback for one or more selected documents of the search results. Improved search results may be generated based on the search results and the feedback for one or more selected documents of the search results. The improved search results may be output to a graphical display device. | 01-06-2011 |