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篇名 |
Query Expansion Based on Formal Concept Analysis from Retrieved Documents
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並列篇名 | Query Expansion Based on Formal Concept Analysis from Retrieved Documents |
作者 | Haibin Yu、Chongyang Shi、Yu Bai、Chunxia Zhang、Ryan Hearne |
英文摘要 | In this paper, we propose a new formal concept analysis (FCA)-based query expansion approach, which uses the set of retrieved document collection against the whole document set. In this approach, description topics (DTs) are extracted from the documents and organized to denote precisely the user’s information need. For a new query, we build a concept lattice from the extracted DTs, using the retrieved document collection as the formal context, and choose the most probable interpretations as query concepts. Our experiments are performed on two collections (data sets from TREC-7, TREC-8 and AP89). The experimental evaluation shows that our approach can reduce the overall computational overhead, and is as good as some typical query expansion approaches. |
起訖頁 | 409-422 |
關鍵詞 | Query expansion、Formal concept analysis、Information retrieval、Query concepts |
刊名 | 網際網路技術學刊 |
期數 | 201903 (20:2期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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