Yahoo! Inc.

Keke Chen

Larry Paul Heck

Belle L Tseng

Zhaohui Zheng

Hongyuan Zha

Gordon Sun

Ya Zhang

Chung Kei Wong

Gordon Guo-Zheng Sun

Rongqing Lu

Methods and apparatuses are provided for adapting hierarchical structure information associated with a first ranking function tuned for use in a first domain for use in a second domain.

Methods and apparatuses for adapting a ranking function of a search engine for use with a specific domain

The present invention relates to systems and methods for determining a content item relevance function. The method comprises collecting user preference data at a search provider for storage in a user preference data store and collecting expert-judgment data at the search provider for storage in an expert sample data store. A modeling module trains a base model through the use of the expert-judgment data and tunes the base model through the use of the user preference data to learn a set of one or more tuned models. A measure (B measure) is designed to evaluate the balanced performance of tuned model over expert judgment and user preference. The modeling module generates or selects the content item relevance function from the tuned models with B measure as the selection criterion.

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Sunnyvale, CA, United States of America

Keke Chen