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  Browse All Reviews > Information Systems (H) > Information Storage And Retrieval (H.3) > Information Search And Retrieval (H.3.3) > Retrieval Models (H.3.3...)  
 
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  1-10 of 101 Reviews about "Retrieval Models (H.3.3...)": Date Reviewed
  Modeling information retrieval by formal logic: a survey
Abdulahhad K., Berrut C., Chevallet J., Pasi G. ACM Computing Surveys 52(1): 1-37, 2019.  Type: Article

As the title indicates, formal logic is used for modeling information retrieval (IR). Readers can expect a literature review (of IR models), supported with graphs, mathematical formulas, and examples that lead to some interesting concl...

Apr 12 2021
  Interactive recommendation with user-specific deep reinforcement learning
Lei Y., Li W. ACM Transactions on Knowledge Discovery from Data 13(6): 1-15, 2019.  Type: Article

Recommender systems are widely used, especially by online applications with a view to enhancing user experience. In most conventional systems, past history of a user’s implicit online behavior is used to derive a new recommen...

Mar 2 2020
  Hybrid textual-visual relevance learning for content-based image retrieval
Cui C., Lin P., Nie X., Yin Y., Zhu Q. Journal of Visual Communication and Image Representation 48 367-374, 2017.  Type: Article

Current content-based image retrieval (CBIR) methods are inefficient due to several fundamental problems such as (1) the sparsity and reliability of tags, (2) the representation of image semantics, and (3) the fusion of textual and vis...

Apr 11 2018
  Performance improvements for search systems using an integrated cache of lists + intersections
Tolosa G., Feuerstein E., Becchetti L., Marchetti-Spaccamela A. Information Retrieval 20(3): 172-198, 2017.  Type: Article

This work’s title should more aptly start with “Performance improvement for full-text search systems” because it focuses on that area of application. The lengthy paper (25 pages) revisits and expands on pr...

Nov 21 2017
  Information retrieval with time series query
Kim H., Nikitin D., Zhai C., Castellanos M., Hsu M.  ICTIR 2013 (Proceedings of the 4th International Conference on the Theory of Information Retrieval, Copenhagen, Denmark, Sep 29-Oct 2, 2013) 56-63, 2013.  Type: Proceedings

This work is devoted to a novel information retrieval problem. In contrast to the common action of simple retrieving of time-stamped data, this work is aimed at the discovery of time-related patterns....

May 29 2014
  What can quantum theory bring to information retrieval
Piwowarski B., Frommholz I., Lalmas M., van Rijsbergen K.  CIKM 2010 (Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, ON, Canada, Oct 26-30, 2010) 59-68, 2010.  Type: Proceedings

It’s strange to find the terms “quantum theory” and “information retrieval” together in a sentence about processing documents. As this paper reports, the authors, inspired by quantum th...

May 13 2011
  Utilizing inter-passage and inter-document similarities for reranking search results
Krikon E., Kurland O., Bendersky M. ACM Transactions on Information Systems 29(1): 1-28, 2010.  Type: Article

With search engines, users usually examine the top ten search results. In this paper, the authors present a language-model-based approach to re-ranking search results to improve precision at the top five and top ten rank positions. The...

May 11 2011
  Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains
Kou Z., Chang Y., Zheng Z., Zha H.  CIKM 2010 (Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, ON, Canada, Oct 26-30, 2010) 1921-1924, 2010.  Type: Proceedings

The problem of aggregating rankings from heterogeneous domains into one, all-comprising rank is very difficult in its formulation. It takes into account ranking relevance based on the domains where rankings are aggregated: books, perfu...

Apr 5 2011
  A novel click model and its applications to online advertising
Zhu Z., Chen W., Minka T., Zhu C., Chen Z.  WSDM 10 (Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, New York, NY, Feb 4-6, 2010) 321-330, 2010.  Type: Proceedings

Online advertisements and search engines have become virtual libraries in today’s information-driven world, as almost everybody uses them to search for information in various fields. Given the fact that terabytes of informati...

Jun 25 2010
  A novel framework for efficient automated singer identification in large music databases
Shen J., Shepherd J., Cui B., Tan K. ACM Transactions on Information Systems 27(3): 1-31, 2009.  Type: Article

It is very difficult to automate the recognition of music and musicians by content rather than bibliographical detail. Recent work to identify a singer uses voice data, often abstracted from a more complicated musical source, as the mo...

Jun 1 2010
 
 
 
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