Yahoo! Inc.

Excalibur Ip, LLC

Gilad Avraham Mishne

Yi Chang

Ciya Liao

Zhaohui Zheng

Gilbert Leung

Anlei Dong

Alpa Jain

Karolina Buchner

Jing Bai

Georges-Eric Albert Marie Robert Dupret

Ruiqiang Zhang

Umut Ozertem

Shihao Ji

Ling Liu

One embodiment identifies a set of network resources relating to a search query; determines one or more sets of query suggestions for one or more network resources from the set of network resources, respectively, wherein each one of the one or more sets of query suggestions is related to a corresponding one of the one or more network resources; and provides the one or more network resources and the one or more sets of query suggestions in response to the search query, wherein each one of the one or more sets of query suggestions is provided in association with its corresponding one of the one or more network resources.

Network resource-specific search assistance

In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.

Incorporating recency in network search using machine learning

Disclosed are methods and apparatus for clustering and presenting search suggestions. A segment of text is obtained via a search query section of a user interface, the segment of text being a portion of a search query. A set of suggestions is obtained, each suggestion in the set of suggestions being a suggested search query relating to the segment of text. Two or more groups of suggestions are generated, each of the two or more groups of suggestions including a different subset of the set of suggestions. The two or more groups of suggestions are provided such that each of the two or more groups of suggestions is displayed in a separate partition of a search assistance segment of the user interface.

Search suggestion clustering and presentation

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Oakland, CA, United States of America

Gilad Avraham Mishne