Query expansion: Internet mining vs. pseudo relevance feedback
Dmitri G. Roussinov, Gheorghe Mureşan · Proceedings of the American Society for Information Science and Technology · 2007
Abstract We report an investigation of techniques for mining world wide web in order to identify terms (single words or phrases) that are highly related to a topic (query) described by a short (one sentence or a paragraph‐long) interest statement. These terms are subsequently used to improve automated document retrieval. By following a standard testing methodology, we established that our technique improves the effectiveness of retrieval up to 8% over BM25 combined with pseudo‐relevance feedback, which is currently known to be one of the best ranking functions, and was indeed the strongest baseline in our studies