Improving web database search incorporating users query information

Rakesh Rawat, Richi Nayak, Yuefeng Li
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
The growing importance and need of data processing for information extraction is vital for Web databases. Due to the sheer size and volume of databases, retrieval of relevant information as needed by users has become a cumbersome process. Information seekers are faced by information overloading -too many result sets are returned for their queries. Moreover, too few or no results are returned if a specific query is asked. This paper proposes a ranking algorithm that gives higher preference to a
more » ... er preference to a user's current search and also utilizes profile information in order to obtain the relevant results for a user's query.
doi:10.1145/1988688.1988754 dblp:conf/wims/RawatNL11 fatcat:uzyqwfpug5ez7msd5orsq6h3lu