Microsoft Technology Licensing, LLC

Yunxiao Ma

Ji-Rong Wen

Zaiqing Nie

Bo Zhang

Ying-Qing Xu

Gang Luo

Xiaojiang Liu

Yong Cao

Ruochi Zhang

Wei-Ying Ma

Shuming Shi

The automated social networking graph mining and visualization technique described herein mines social connections and allows creation of a social networking graph from general (not necessarily social-application specific) Web pages. The technique uses the distances between a person's/entity's name and related people's/entities names on one or more Web pages to determine connections between people/entities and the strengths of the connections. In one embodiment, the technique lays out these connections, and then clusters them, in a 2-D layout of a social networking graph that represents the Web connection strengths among the related people's or entities' names, by using a force-directed model.

Automated networking graph mining and visualization

Automated social networking graph mining and visualization

A method and system is provided for determining relevance of an object to a term based on a language model. The relevance system provides records extracted from web pages that relate to the object. To determine the relevance of the object to a term, the relevance system first determines, for each record of the object, a probability of generating that term using a language model of the record of that object. The relevance system then calculates the relevance of the object to the term by combining the probabilities. The relevance system may also weight the probabilities based on the accuracy or reliability of the extracted information for each data source.

Web object retrieval based on a language model

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Beijing, China

Yunxiao Ma