Results 11 to 20 of about 198,128 (343)
Query Refinement into Information Retrieval Systems: An Overview
Query, expressing the user need and requirement, has an important role, in an information retrieval system, for reaching a high accuracy search. In this paper, we present an overview of the different refinement operations that the query may undergo, in ...
Mawloud Mosbah
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Toward personalized query expansion [PDF]
Social networking and tagging have taken off at an unexpected scale and speed, opening huge opportunities to enhance the user search experience. We present Gossple, a new, user-centric, approach to improve the exploration of the Internet. Underlying \textsc{Gossple} lies the intuition that while social networks provides news from your old buddies, you ...
Bertier, Marin +3 more
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Combining fields for query expansion and adaptive query expansion [PDF]
In this paper, we aim to improve query expansion for ad-hoc retrieval, by proposing a more fine-grained term reweighting process. This fine-grained process uses statistics from the representation of documents in various fields, such as their titles, the anchor text of their incoming links, and their body content.
Ben He, Iadh Ounis
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A Semantic Query Expansion Method for Question Answering Based on Knowledge Graph [PDF]
In Question Answering(QA) system,the query intent that is expressed only by the words in the question may not be able to get the ideal answer from the data source.To this end,a semantic query expansion method is proposed for QA system based on knowledge ...
MENG Mingming, ZHANG Kun, LUN Bing, ZHANG Xiaoming
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A hybrid semantic query expansion approach for Arabic information retrieval
In fact, most of information retrieval systems retrieve documents based on keywords matching, which are certainly fail at retrieving documents that have similar meaning with syntactical different keywords (form).
Hiba ALMarwi +2 more
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A query expansion method based on topic modeling and DBpedia features
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]
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]
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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Perbandingan Algoritma Selection Feature Query Expansion Ranking dan Symmetrical Uncertainty Pada Instagram Terkait Sengketa ZEE di Perairan Natuna [PDF]
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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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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