Yahoo! Inc.

Excalibur Ip, LLC

Slack Technologies, Inc.

Jollify Management Limited

David Ku

Qi Lu

Eckart Walther

Ali Diab

Kevin Lee

Chung-Man Tam

Zhichen Xu

Jianchang Mao

Scott A Gatz

Shyam Kapur

Thai Tran

Jeff Weiner

Norman Shi

Phu Hoang

Yuan Kui Shen

Chuck Kung

Lynne Pogue

Kenneth Norton

John Thrall

Nam Nguyen

Daniel Eric Rose

Jason Brant Douglas

Pavel Berkhin

Pavel Berkin

Dan Rose

Jiangchang Mao

Benjamin Garrett

Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

Search system and methods with integration of user annotations from a trust network

Computer systems and methods allow users to annotate content items found in a corpus such as the World Wide Web Annotations, which can include any descriptive and/or evaluative metadata related to a document, are collected from a user and stored in association with that user. Users are able to annotate and view their annotations for any document they encounter while interacting with the corpus, including hits returned in a search of the corpus. Users are also able to search their annotations or to limit searches to documents they have annotated. Metadata from annotations can also be aggregated across users and aggregated metadata applied in generating search results.

Search systems and methods with integration of aggregate user annotations

A search query is received. Personal information for a user is then determined. A search is performed in a general subdomain of general content using the search query. For example, the general subdomain of general content may be a WWW search. Then, a vertical subdomain is determined based on the personal information. A search is then performed in the vertical subdomain of specialized content using the search query. The search performed in the general subdomain and the search performed in the vertical subdomain generate general search results and vertical search results. The results may be combined and outputted to a client.

Lateral search

Computer systems and methods allow users to annotate content items found in a corpus such as the World Wide Web. Annotations, which can include any descriptive and/or evaluative metadata related to a document, are collected from a user and stored in association with that user. Users are able to annotate and view their annotations for any document they encounter while interacting with the corpus, including hits returned in a search of the corpus. Users are also able to search their annotations or to limit searches to documents they have annotated. Metadata from annotations can also be aggregated across users and aggregated metadata applied in generating search results.

Search systems and methods with integration of user annotations

A method and apparatus for generating search results including searching by subdomain and providing sponsored results by subdomain is provided. A search system according to embodiments of the present invention analyzes search queries to determine if they are to be routed to subdomains and presents results include sponsored hits sponsored on a subdomain by subdomain basis.

Search system using search subdomain and hints to subdomains in search query statements and sponsored results on a subdomain-by-subdomain basis

Inverse search systems and methods operate on identifiers of content items in a corpus such as the World Wide Web In an inverse search, the user submits a query that includes an identifier of a target content item in the corpus and receives information (metadata) about the target content item being returned to the user. Many types of metadata can be returned, including ratings or other metadata related to the target content item obtained from users, popularity data specific to the target content item, information about previously submitted forward search queries that led to the target content item being identified as a hit, and metadata extracted from the target content item.

Inverse search systems and methods

Embodiments of the present invention provide systems and methods for ranking a result set. The method according to one embodiment comprises selecting an item from the result set, selecting a user profile from one or more user profiles and selecting one or more items of personalized information from the selected user profile. A rank is calculated for the item on the basis of the selected one or more items of personalized information and the selected item in the result set is ranked in accordance with the calculated rank.

Search engine with augmented relevance ranking by community participation

Growing community of inventors

Palo Alto, CA, United States of America

David Ku