Results 1 to 10 of about 250,954 (220)
A New Ranking Principle for Multimedia Information Retrieval [PDF]
Proceedings of the fourth ACM conference on Digital libraries, 1999 submission for DL'99.
Martin Wechsler, Peter Scháuble
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Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 This paper presents the Entity-Duet Neural Ranking Model (EDRM), which introduces knowledge graphs to neural search systems. EDRM represents queries and documents by their words and entity annotations.
Zhenghao Liu +3 more
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Visual Re-Ranking for Multi-Aspect Information Retrieval [PDF]
Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017 We present visual re-ranking, an interactive visualization technique for multi-aspect information retrieval. In multi-aspect search, the information need of the user consists of more than one aspect or query simultaneously. While visualization and interactive search user interface techniques for improving user interpretation of search results have been
Jacucci Giulio +8 more
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A LDA-based approach to promoting ranking diversity for genomics information retrieval [PDF]
BMC Genomics, 2012 Background In the biomedical domain, there are immense data and tremendous increase of genomics and biomedical relevant publications. The wealth of information has led to an increasing amount of interest in and need for applying information retrieval ...
Chen Yan +4 more
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Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 The truncation of ranking lists predicted by retrieval models is vital to ensure users' search experience. Particularly, in specific vertical domains where documents are usually complicated and extensive (e.g., legal cases), the cost of browsing results ...
Yixiao Ma +6 more
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Three methods for fair ranking of multiple protected items [PDF]
Scientific ReportsThree approaches to fair ranking in retrieval systems are compared in this paper: mPFR, which is based on the theory of preferences and eigensystems; cRR, which is a simple‘ ’round robin” method; and mMLP, which is based on linear programming.
Massimo Melucci
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Information Retrieval: Ranking Results According to Calendar Criteria [PDF]
, 2012 Our work deals with calendar information as it is expressed in natural language (NL), that is to say through textual units such as prepositional phrases or noun phrases (e.g. in the 90s, at the beginning of the XVth century). We call these textual units Calendar Expressions (CE).
Delphine Battistelli +3 more
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Generalized ensemble model for document ranking in information retrieval [PDF]
Computer Science and Information Systems, 2017 A generalized ensemble model (gEnM) for document ranking is proposed in this paper. The gEnM linearly combines the document retrieval models and tries to retrieve relevant documents at high positions. In order to obtain the optimal linear combination of multiple document retrieval models or rankers, an optimization program is formulated by ...
Wang, Yanshan +2 more
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A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval [PDF]
Scientific ReportsPre-trained models have garnered significant attention in the field of information retrieval, particularly for improving document ranking. Typically, an initial retrieval step using sparse methods such as BM25 is employed to obtain a set of pseudo ...
Min Pan +4 more
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Relevance and Ranking in Geographic Information Retrieval [PDF]
Electronic Workshops in Computing, 2011 Geographic Information Retrieval (GIR) is a specialized branch of traditional Information Retrieval (IR), which deals with the information related to geographic locations. One of the main challenges of GIR is to quantify the spatial relevance of documents and generate a pertinent ranking of the results according to the spatial information needs of user.
Chandan Kumar
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