Abstract: A method of personalized activity focused results includes generating a first internet search index using a webcrawler, associating a plurality of action verbs with a user interests by receiving textual user interest data, generating a user-specific search index using a plurality of associations between each of the plurality of action verbs and each of the plurality of user interests, the user-specific search index combining the first internet search index with the plurality of associations between each of the plurality of web pages and each of the plurality of user interests, receiving a query from the user computing device via a network, the query including at least one query action verb, retrieving from the user-specific index at least one web page associated with an action verb associated with the at least a user interest, and sending the at least one web page to the user computing device via the network.

Abstract: A personalized activity data retrieval system and method provides users a platform to search activity data based on multi-variable user input. The present invention provides a search method where the system searches a database to gather activity information based on user interests and user attributes. A customization of search results are applied multi-dimensionally to customize the search result based on user interest and user attributes. As such, the search results are personalized to meet the user's search objective. Searches conducted with the same topic can be returned with different results for different users having varying attributes. Search results are more progressive such that they are more usable and the granularity of the customization increases.

Abstract: The present disclosure provides a system and method that recommends content to a user based on a compatibility between the user's interest and attributes of the content providers. Multiple contents may be aggregated based on the compatibility among the contents created by various user groups with varying intents or objectives. The present invention provides a search method where the system searches a database to gather information based on user interests and content attributes. A customization of search results are applied multi-dimensionally to customize the search result based on user interest and content compatibility. As such, the search results are personalized to meet the user's search objective.

Abstract: A personalized activity data retrieval system and method provides users a platform to search activity data based on multi-variable user input. The present invention provides a search method where the system searches a database to gather activity information based on user interests and user attributes. A customization of search results are applied multi-dimensionally to customize the search result based on user interest and user attributes. As such, the search results are personalized to meet the user's search objective. Searches conducted with the same topic can be returned with different results for different users having varying attributes. Search results are more progressive such that they are more usable and the granularity of the customization increases.

Abstract: A personalized activity data retrieval system and method provides users a platform to search activity data based on multi-variable user input. The present invention provides a search method where the system searches a database to gather activity information based on user interests and user attributes. A customization of search results are applied multi-dimensionally to customize the search result based on user interest and user attributes. As such, the search results are personalized to meet the user's search objective. Searches conducted with the same topic can be returned with different results for different users having varying attributes. Search results are more progressive such that they are more usable and the granularity of the customization increases.