Query expansion: Internet mining vs. pseudo relevance feedback
نویسندگان
چکیده
منابع مشابه
Query Expansion by Pseudo Relevance Feedback
In this document, we describe our algorithms for automatic query expansion. The proposed algorithms are implemented in Java where the Lucene library 1 is modified and used by the proposed algorithms for document retrieval. In order to support accurate document retrieval, we have implemented the okapi(BM25) formulation 2 for measuring the document-query similarity measure. Three query expansion ...
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Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
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Pseudo-relevance feedback has been perceived as an effective solution for automatic query expansion. However, a recent study has shown that traditional pseudo-relevance feedback may bring into topic drift and hence be harmful to the retrieval performance. It is often crucial to identify those good feedback documents from which useful expansion terms can be added to the query. Compared with trad...
متن کاملquery expansion based on relevance feedback and latent semantic analysis
web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...
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ژورنال
عنوان ژورنال: Proceedings of the American Society for Information Science and Technology
سال: 2008
ISSN: 0044-7870
DOI: 10.1002/meet.1450440271