Results 11 to 20 of about 197,373 (301)
A query expansion method based on topic modeling and DBpedia features
International Journal of Information Management Data Insights, 2021 Query Expansion (QE) is a method used for improving Information Retrieval (IR) by adding the terms that are almost selected from feedback documents, and similar to the user query terms.
Sarah Dahir, Abderrahim El Qadi
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Conceptual query expansion [PDF]
Data & Knowledge Engineering, 2006 This article presents a new, hybrid approach that projects an initial query result onto global information, yielding a local conceptual overview. Concepts found this way are candidates for query refinement. We show that the resulting conceptual structure after a typical short query of 2 terms, contains refinements that perform just as well as a most ...
Grootjen, F.A., Weide, T.P. van der
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A KNN Dynamic Extended Query Strategy Based on GPU [PDF]
Jisuanji gongcheng, 2018 Traditional Graphics Processing Unit(GPU) executing PGrid index K-Nearest Neighbor(KNN) query method has problems such as large query granularity,redundant calculation,and unstable performance.Therefore,facing spatial KNN relation queries,a KNN query ...
TANG Jia,GONG Yili,LI Wenhai
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Event-Driven Query Expansion [PDF]
Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021 A significant number of event-related queries are issued in Web search. In this paper, we seek to improve retrieval performance by leveraging events and specifically target the classic task of query expansion. We propose a method to expand an event-related query by first detecting the events related to it.
Rosin, Guy D., Guy, Ido, Radinsky, Kira
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Journal of Information Science Theory and Practice, 2021 Pseudo relevance feedback (PRF) is a powerful query expansion (QE) technique that prepares queries using the top k pseudo-relevant documents and choosing expansion elements.
Farhan Yasir Hadi +3 more
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Re-examining the potential effectiveness of interactive query expansion [PDF]
, 2003 Much attention has been paid to the relative effectiveness of interactive query expansion versus automatic query expansion. Although interactive query expansion has the potential to be an effective means of improving a search, in this paper we show that,
Ruthven, I.
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Perbandingan Algoritma Selection Feature Query Expansion Ranking dan Symmetrical Uncertainty Pada Instagram Terkait Sengketa ZEE di Perairan Natuna [PDF]
, 2021 Algoritma Naïve Bayes adalah untuk menggabungkan probabilitas kata-kata dan kategori untuk memperkirakan probabilitas kategorikan dokumen. Naïve Bayes ini merupakan algoritma klasifikasi yang sering digunakan dalam sebuah penelitian salah satunya ...
Aditya, Christian Sri Kusuma +2 more
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HASHTAG AND HIGHEST SCORED TERMS FOR EXPANDING QUERY
Journal of ICT, 2017 Communicating in short messages, such as using microblogs, was becoming more popular currently. Twitter https://twitter.com supports microblogs and retrieval of the blogs by users.
Wahyu Wibowo, Widodo Widodo
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Segmentation Expansion Algorithm for Keyword-Aware Optimal Route Query [PDF]
Jisuanji gongcheng, 2022 The Keyword-aware Optimal Route query(KOR) obtains the route with minimum time overhead under the conditions of full keyword coverage and path length constraints;it is commonly used in travel planning.Although existing optimization algorithms use various
LIU Mengmeng, NIU Baoning, YANG Rong
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Using relevance feedback in expert search [PDF]
, 2007 In Enterprise settings, expert search is considered an important task. In this search task, the user has a need for expertise - for instance, they require assistance from someone about a topic of interest. An expert search system assists users with their
Macdonald, C., Ounis, I.
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