Yahoo! Inc.

International Business Machines Corporation

Kevin Haas

Daniel Gruhl

Yi-An Lin

Jeffrey Alan Kusnitz

Varun Bhagwan

Amit Kumar

Jeonghee Yi

Daniel Norin Meredith

Amit Basu

Christopher C LuVogt

Youssef Billawala

Jan Pfeifer

Paul Tarjan

The present invention provides a method and system for generating search results including receiving a search request and accessing a corpus of data relating to web content to determine relevant content. The method and system includes determining at least one semantic object in the search results set and generating an object filter on the basis of the at least one semantic object. The method and system further includes generating a search result output display for the presentation of at least a portion of the search result set and active data links for one or more of the semantic objects and toggling the search result output display to present at least a portion of a subset of the search results set in response to selection of a given active data link, the subset including content having semantic object associated therewith.

Systems and methods for providing advanced search result page content

The present invention provides a method and system for generating search results including receiving a search request including at least one search term and accessing a corpus of data to determine relevant content for inclusion in a search result set on the basis of the search request. The method and system includes determining a plurality of applications associated with the search request and generating a search result output display for the presentation of at least a portion of the search result set and at least a portion of the applications.

The embodiments of the invention provide a systems, methods, etc. for adaptive content processing and classification in a high-availability environment. More specifically, a system is provided having a plurality of processing engines and at least one server that classifies data objects on the computer system. The classification includes analyzing the data objects for the presence of a type of content. This can include assigning a score corresponding to the amount of the type of content in each of the data objects. Moreover, the server can remove a data object from the computer system based on the results of the analyzing. The results of the analyzing are stored and the computer system is updated with feedback information. This can include allowing a user to review the results of the analyzing and aggregating reviews of the user into the feedback information.

System and method for adaptive content processing and classification in a high-availability environment

Techniques for providing useful information to a user in response to a search query are provided. Based on the search query, one or more potential intents of the user are identified and a plurality of matching resources are identified. For at least one matching resource, a particular abstract template is selected based on the one or more potential intents. Each abstract (a) corresponds to a different intent than any other intent to which any other abstract template of the plurality of abstract templates corresponds, and (b) dictates a different manner of displaying information about a matching resource than any other manner of displaying dictated by any other abstract template of the plurality of abstract templates. A search results page is generated and sent to the user. The search results page includes an abstract for the at least one matching resource. The abstract is displayed based on the particular abstract template.

Intent driven search result rich abstracts

Disclosed are embodiments a system and method for managing an on-line community. Electronic postings are pre-screened based on one or more metrics to determine a risk value indicative of the likelihood that an individual posting contains objectionable content. These metrics are based on the profile of a poster, including various parameters of the poster and/or the poster's record of objectionable content postings. These metrics can also be based on the social network profile of a poster, including the average of various parameters of other users in the poster's social network and/or a compiled record of objectionable content postings of other users in the poster's social network. If the risk value is relatively low, the posting can be displayed to the on-line community immediately. If the risk value is relatively high, display of the posting can be delayed until further content analysis is completed. Finally, if the risk value is above a predetermined high risk threshold value, the posting can be removed automatically.

Growing community of inventors

San Jose, CA, United States of America

Kevin Haas