Query Expansion with the Minimum User Feedback by Transductive Learning
نویسندگان
چکیده
منابع مشابه
Query Expansion with the Minimum User Feedback by Transductive Learning
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select good expansion terms, it is difficult to get enough feedback from users in practical situations. In this paper we propose a query expansion technique which performs well even if a user notifies just a relevant document and...
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 with the Minimum Relevance Judgments
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select good expansion terms, it is difficult to get enough feedback from users in practical situations. In this paper we propose a query expansion technique which performs well even if a user notifies just a relevant document and...
متن کاملQuery 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 ...
متن کاملQuery Expansion by Mining User Logs
Queries to search engines on the Web are usually short. They do not provide sufficient information for an effective selection of relevant documents. Previous research has proposed the utilization of query expansion to deal with this problem. However, expansion terms are usually determined on term co-occurrences within documents. In this study, we propose a new method for query expansion based o...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2006
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.21.398