Yahoo Assets LLC

Verizon Media Inc.

Oath Inc.

Excalibur Ip, LLC

Hongbo Deng

Amit Goyal

Yi Chang

Anlei Dong

Lizi Zhang

Shenhong Zhu

Kazuhiro Nakao

Weize Kong

Ricardo Baeza-Yates

Jean-Marc Langlois

Hang Su

Hui Wu

Jiuhe Gan

Dawei Yin

Sudarshan Lamkhede

Jiliang Tang

Tim Daly

Chao Tan

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. A plurality of query suggestions is determined based on the query prefix and a preceding query input by the user. A degree of popularity of the preceding query is determined. One or more query suggestions are selected from the plurality of query suggestions based on the degree of popularity of the preceding query. The one or more query suggestions are provided as a response to the request.

Method and system for providing context based query suggestions

Methods, systems and programming for providing query suggestions based on user feedback. In one example, a prefix of a query is first received. An input including a prefix of a query is received from a user in a search session. A plurality of query suggestions are fetched based on the prefix of the query. Rankings of the plurality of query suggestions are determined based, at least in part, on the user's previous interactions in the search session with respect to at least one of the plurality of query suggestions. The at least one of the plurality of query suggestions has been previously provided to the user in the search session. The plurality of query suggestions are provided in the search session based on their rankings as a response to the input.

Method and system for providing query suggestions based on user feedback

The present teaching relates to rewriting a query and providing search results. In one example, a plurality of queries is obtained. For each of the plurality of queries, one or more search results are identified. The one or more search results have been obtained in response to the query and have been previously selected by a user submitting the query. A plurality of titles is obtained. Each of the titles corresponds to one of the one or more search results with respect to one of the plurality of queries. A model is generated based on the plurality of queries and the plurality of titles. The model is to be used for rewriting a query.

Method and system for rewriting a query

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

Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for determining and suggesting query auto-completions (QACs). In some embodiments, when a user is inputting a search query, the disclosed systems and methods can provide a QAC suggestion based on the inputted text in addition to application programs installed and/or executing on the user's device.

Computerized system and method for search query auto-completion

Methods, systems and programming for providing query suggestions based on user's previous search query. In one example, an input including a prefix of a first query is received from a user in a user session. At least a second query that was previously received from the user in the user session is then obtained. A third query is obtained based on the second query and the prefix of the first query. One or more query suggestions are provided to the user as a response to the input. The one or more query suggestions include the third query.

Contextual based search suggestion

Methods, systems and programming for providing query suggestions including entities. In one example, a prefix of a query is first received. A plurality of query suggestions are then identified based on the prefix of the query. The plurality of query suggestions include at least one entity. Scores of each of the plurality of query suggestions are computed using a first model. The first model includes an adjustable parameter used for computing the score of the at least one entity. The plurality of question suggestions are ranked based, at least in part, on the scores.

Method and system for providing query suggestions including entities

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San Jose, CA, United States of America

Hongbo Deng