With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

This paper examines the meaning of context in relation to ontology based query expansion
and contains a review of query expansion approaches. The various query expansion …

Social image analysis and retrieval is important for helping people organize and access the
increasing amount of user tagged multimedia. Since user tagging is known to be …

Information retrieval systems traditionally rely on textual keywords to index and retrieve
documents. Keyword-based retrieval may return inaccurate and incomplete results when …

This paper describes Koru, a new search interface that offers effective domain-independent
knowledge-based information retrieval. Koru exhibits an understanding of the topics of both …

Online communities have become popular for publishing and searching content, as well as
for finding and connecting to other users. User-generated content includes, for example …

Abstract Analysis on Web search query logs has revealed that there is a large portion of
entity-bearing queries, reflecting the increasing demand of users on retrieving relevant …

Rank fusion is a powerful technique that merges multiple system runs to produce a single
top-k list that often has much higher effectiveness than any single system can produce …

The discipline of information retrieval (IR) has a long history of examination of how best to
measure performance. In particular, there is an extensive literature on the practice of …