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» Acquiring Explicit User Goals from Search Query Logs
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APWEB
2005
Springer
14 years 29 days ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
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...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
SEMCO
2008
IEEE
14 years 1 months ago
Exploiting Semantic Query Context to Improve Search Ranking
One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the us...
Ziming Zhuang, Silviu Cucerzan
AAAI
2006
13 years 8 months ago
Extracting Knowledge about Users' Activities from Raw Workstation Contents
A long-standing goal of AI is the development of intelligent workstation-based personal agents to assist users in their daily lives. A key impediment to this goal is the unrealist...
Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam...
SIGIR
2010
ACM
13 years 11 months ago
Query similarity by projecting the query-flow graph
Defining a measure of similarity between queries is an interesting and difficult problem. A reliable query-similarity measure can be used in a variety of applications such as que...
Ilaria Bordino, Carlos Castillo, Debora Donato, Ar...
CIKM
2009
Springer
14 years 2 months ago
Identifying comparable entities on the web
Web search engines are often presented with user queries that involve comparisons of real-world entities. Thus far, this interaction has typically been captured by users submittin...
Alpa Jain, Patrick Pantel