Excalibur Ip, LLC

Yahoo Assets LLC

Verizon Media Inc.

Yahoo! Inc.

Oath Inc.

Hang Su

Shenhong Zhu

Huming Wu

Hui Wu

Jiuhe Gan

Xiaobing Han

Siva Gurumurthy

Scott J Gaffney

Chun Ming Sze

Yuan Zhang

Mingtian Liu

Vladimir Ofitserov

Kazuhiro Nakao

Zhongqiang Chen

Chi Hoon Lee

Hongbo Deng

Xiangli Kong

The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources that include person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on a person corpus derived from at least one data source private to the person, obtaining a second set of suggestions based on information from an additional data source, ranking the first and second sets of suggestions to generate a ranked list of suggestions, and presenting at least some of the ranked suggestions.

Methods, systems and techniques for ranking personalized and generic search query suggestions

The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources including person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on information from a first data source, presenting the first set of suggestions to the person, and presenting, to the person, a second set of suggestions obtained from a person corpus when a portion of the person corpus relevant to the input is accessible. The person corpus may be from a second data source that is private to the person.

Methods, systems and techniques for providing search query suggestions based on non-personal data and user personal data according to availability of user personal data

A location-aware search assist capability identifies location-aware search query suggestions using location information associated with the location-aware search query suggestions. A user's search query input and location and a location associated with each location-aware search query suggestion candidates may be used to identify a set of search query suggestions for presentation to the user. Location-aware search query suggestion candidates may be ranked in accordance with a closeness of each one's location to the user's location. The ranking may be performed using a score, such as a popularity score associated with each search query suggestion candidate. The location-aware search query suggestion candidates having a location closer to the user's location may be promoted by adjusting each candidate's popularity score upward, and the search query suggestion candidates that are farther away from the user's location may be demoted by adjusting each such candidate's popularity score downward.

Location-awareness search assistance system and method

A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network for predicting a next word comprises generating a suggestion database including a plurality of suggestions; receiving an input from a user including a first word and at least one character of a second word; obtaining one or more indices associated with the at least one character from the suggestion database; retrieving one or more suggestions corresponding to the one or more indices from the suggestion database; and presenting the one or more suggestions to the user.

Method and system for next word prediction

The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on multiple data sources including at least person's personal data. The disclosed techniques may include receiving an input from a person, obtaining one or more suggestions based on a person corpus derived from at least one data source private to the person, and presenting at least the one or more suggestions.

Methods, systems and techniques for personalized search query suggestions

The present teaching relates to providing a query suggestion. In one example, a request is received for query suggestions with respect to a query prefix input by a user. Personal data of the user are obtained. One or more spelling correction candidates are generated based on the personal data and the query prefix. Each of the one or more spelling correction candidates represents a possible spelling correction of the query prefix that was likely input incorrectly in view of the personal data. One or more query suggestions are determined based on the one or more spelling correction candidates. The one or more query suggestions are provided as a response to the request.

Method and system for providing query suggestions based on personalized spelling correction

Systems and methods for providing content associated with trending topics relevant to a user are described. An interest detection module identifies topics trending in one or more real-time content sources that are relevant to a user. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. The topics trending that are relevant to the user are identified by comparing a search history of the user with one or more trending topics stored in a database. A content retriever module is configured to return one or more documents to the user in response to identifying the one or more topics trending that are relevant to the user.

System and method for recommending content based on search history and trending topics

Method, system, and programs for providing enhanced query term suggestions. Candidate query terms may be obtained based on a prefix of incomplete query terms received. The candidate query terms may be ranked, at least partially based on, their similarities with respect to query terms previously entered in the same search session as the incomplete query term. In some implementations, for determining such similarities, feature vectors and/or signatures may be stored in association with query terms. Similarity between a candidate query term and query terms in the same search session as the incomplete query term may be determined using the feature vectors and/or signatures associated therewith.

Method and system for enhanced query term suggestion

Disclosed herein is use of a preview of content from a target document, as provided by a content preview source such as a Really Simple Syndication (RSS) feed, by a search engine. The content preview source includes the preview of the target document's content and a reference, e.g., a Universal Resource Locator (URL) or other link. A content preview document is generated using data extracted from the content preview source. The content preview document is made available in a searchable index used by a search engine to respond to a search query. A fetch operation is scheduled to fetch the target document using the reference provided in the content preview source. Once fetched, the data extracted from the content preview source can be associated with the target document, and can be used in presenting the target document in search results.

Search engine recency using content preview

Methods, systems, and programming for refreshing web page URL snapshots are disclosed. A plurality of URLs is received. URLs from the plurality of URLs are selected to schedule for refreshment of snapshots corresponding to web pages associated with the URLs. A plurality of snapshots is generated, each snapshot associated with a corresponding URL of the selected URLs scheduled for refreshment. The plurality of snapshots is provided for display, wherein each snapshot is a viewable and actionable link to the corresponding URL the snapshot is associated with.

Snapshot refreshment for search results page preview

Methods, systems, and programming for providing web page snapshots are disclosed. A URL is received. A snapshot of the web page associated with the URL is generated. A plurality of features is extracted from the snapshot. A determination is made regarding whether the snapshot is high quality based on the plurality of extracted features of the snapshot. The generated snapshot is provided as a viewable and actionable link to the URL.

Snapshot generation for search results page preview

Systems and methods for identifying candidate queries related to a trending topic based on a user query are described. A trending topic identification module identifies topics trending in one or more real-time content sources. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. A query recommendation module suggests at least one candidate query in response to receiving a user query. The query recommendation module obtains the at least one candidate query by comparing words and named entities of the user query with words and named entities associated with the trending topics identified by the trending topic identification module.

Growing community of inventors

Sunnyvale, CA, United States of America

Hang Su