Yahoo! Inc.

Yahoo Assets LLC

Excalibur Ip, LLC

Verizon Media Inc.

Xiaobing Han

Shenhong Zhu

Hang Su

Hui Wu

Scott J Gaffney

Huming Wu

Jiuhe Gan

Chun Ming Sze

Yuan Zhang

Mingtian Liu

Zhongqiang Chen

Aytek Esen Celik

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

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 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

A method is disclosed for providing advertising content for display in a page over a network. A plurality of advertisements are determined that are qualified for display at a location in the page. When an advertiser has stores located at a plurality of geographic sites, only one advertisement for a store located at a first geographic site may be displayed. Thereafter, the advertisement for a store located at a second geographic site different from the first geographic site may be displayed.

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San Jose, CA, United States of America

Xiaobing Han