Oath Inc.

Yahoo Assets LLC

Verizon Media Inc.

Yuan Zhang

Shenhong Zhu

Scott J Gaffney

Hang Su

Hui Wu

Huming Wu

Jiuhe Gan

Xiaobing Han

Chun Ming Sze

Mingtian Liu

Zhongqiang Chen

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

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

Methods, systems and programming for providing query suggestions. In one example, a search query is received from a user. At least one rewritten search query is generated by replacing at least some text in the search query with a synonym of the at least some text. The synonym of the at least some text is obtained based on a plurality of previously submitted search queries. A plurality of query suggestions is obtained based on the search query and the at least one rewritten search query. At least a portion of the plurality of query suggestions is provided to the user.

Method and system for providing query suggestions

The present teaching relates to providing query suggestions. A query is received from a user. A plurality of suggestions with respect to the query are obtained. One or more garbled suggestions are identified from the plurality of suggestions. One or more identified garbled suggestions are removed from the plurality of suggestions. The plurality of suggestions with removed one or more garbled suggestions are provided to the user in response to the query.

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Milpitas, CA, United States of America

Yuan Zhang