This paper advocated the use of ontology-supported website models to provide a semantic level solution for an information agent so that it can provide fast, precise, and stable que...
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
The University of California, Berkeley and the University of Liverpool are developing a Information Retrieval and Digital Library system (Cheshire3) that operates in both singlepr...