منابع مشابه
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approaches return popular words in the results as expanded queries. Using these approaches, the expanded queries may correspond to a subset of possible query semantics, and thus miss relevant results. To handle ambiguous queri...
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...
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...
متن کاملDocument Refinement Based On Semantic Query Expansion
The word mismatch problem of various expressions of the same concept between known document resources and user query is one of the main factors that hurt the retrieval performance. This paper proposes a document refinement (DR) approach by expansion and replacement based on semantic relations between words. Different from traditional query expansion technology, this DR approach clusters the inf...
متن کاملA new query expansion method based on query logs mining
Query expansion has long been suggested as an effective way to improve the performance of information retrieval systems by adding additional relevant terms to the original queries. However, most previous research has been limited in extracting new terms from a subset of relevant documents, but has not exploited the information about user interactions. In this paper, we proposed a method for aut...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2011
ISSN: 2150-8097
DOI: 10.14778/1978665.1978667