Oath Inc.

Yahoo Assets LLC

Yahoo! Inc.

Excalibur IP, LLC

Alyssa Glass

Xing Yi

Scott J Gaffney

Jean-Marc Langlois

Anlei Dong

Ted Eiche

Method, system, and programs for measuring user engagement with content items. In one example, a query is received. A set of content items related to the query is obtained. A presentation of at least one content item of the set of content items is provided on a user interface. A user activity related to the at least one content item is determined. An amount of time between a time at which the presentation of the at least one content item is provided on the user interface and a time at which the user activity occurred is determined. A score associated with the content item is determined based on the amount of time. Information related to user engagement with the set of content items is generated based on the score.

Method and system for measuring user engagement with content items

Method, system, and programs for measuring user engagement with content items. In one example, a query is received. A presentation of a content item related to the query is provided on a user interface. A user activity (e.g., related to manipulation of the content item) is determined. A score associated with the content item is determined based on the user activity. Information related to user engagement with the content item is generated based on the score.

Methods, systems and programming for evaluating user satisfaction with respect to a user session are presented. In one example, one or more queries in a use session are received from a user. Information about one or more user activities is obtained. Each user activity is related to manipulation of a content item associated with one of the one or more queries. A score associated with the user session is computed based at least partially on the one or more user activities. User satisfaction with respect to the user session is determined based on the score.

Method and system for evaluating user satisfaction with respect to a user session

Methods, systems and programming for evaluating query suggestions quality. In one example, a plurality of query suggestions are provided in a ranking to a user. A user activity with respect to one of the plurality of query suggestions is detected. A position of the one of the plurality of query suggestions in the ranking is determined. A quality measure of the plurality of query suggestions is calculated based, at least in part, on the user activity and the position of the one of the plurality of query suggestions.

Method and system for evaluating query suggestions quality

Method, system, and programs for identifying a target metric. In one example, at least one first type of metric computed based on a first period associated with a first length of time is measured for each of a plurality of users. At least one second type of metric computed based on a second period associated with a second length of time is measured for each of the plurality of users. The second length of time is larger than the first length of time. Correlations between each of the at least one first type of metric and each of the at least one second type of metrics are computed with respect to the plurality of users. A target metric is identified from the at least one first type of metric based on the correlations. The target metric is correlated with the at least one second type of metric.

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Alyssa Glass