Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
We build a probabilistic model to identify implicit local intent queries, and leverage user’s physical location to improve Web search results for these queries. Evaluation on co...
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...