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Introduction to the Special Issue on Recommender System Benchmarking

Authors:

Paolo Cremonesi,

Michelle X. ZhouAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 7, Issue 3

Article No.: 38, Pages 1 - 4

https://doi.org/10.1145/2870627

Published: 08 March 2016 Publication History

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Cited By

Jalagat Jr. R(2024)Business Technology TransformationCreating AI Synergy Through Business Technology Transformation10.4018/979-8-3693-4187-2.ch007(137-158)Online publication date: 30-Aug-2024
https://doi.org/10.4018/979-8-3693-4187-2.ch007
Xu KZhang WYan Z(2018)A privacy-preserving mobile application recommender system based on trust evaluationJournal of Computational Science10.1016/j.jocs.2018.04.00126(87-107)Online publication date: May-2018
https://doi.org/10.1016/j.jocs.2018.04.001
Xu KYan Z(2016)Privacy Protection in Mobile Recommender Systems: A SurveySecurity, Privacy, and Anonymity in Computation, Communication, and Storage10.1007/978-3-319-49148-6_26(305-318)Online publication date: 16-Nov-2016
https://dl.acm.org/doi/10.1007/978-3-319-49148-6_26

Index Terms

Introduction to the Special Issue on Recommender System Benchmarking
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Presentation of retrieval results
      2. Relevance assessment
    2. Retrieval models and ranking
  2. World Wide Web
    1. Web searching and information discovery
      1. Personalization

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Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 7, Issue 3

Regular Papers, Survey Papers and Special Issue on Recommender System Benchmarks

April 2016

472 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2885506

Editor:
Yu Zheng
Microsoft Research, China

Issue’s Table of Contents

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 March 2016

Accepted: 01 December 2015

Revised: 01 December 2015

Received: 01 November 2015

Published in TIST Volume 7, Issue 3

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Cited By

Jalagat Jr. R(2024)Business Technology TransformationCreating AI Synergy Through Business Technology Transformation10.4018/979-8-3693-4187-2.ch007(137-158)Online publication date: 30-Aug-2024
https://doi.org/10.4018/979-8-3693-4187-2.ch007
Xu KZhang WYan Z(2018)A privacy-preserving mobile application recommender system based on trust evaluationJournal of Computational Science10.1016/j.jocs.2018.04.00126(87-107)Online publication date: May-2018
https://doi.org/10.1016/j.jocs.2018.04.001
Xu KYan Z(2016)Privacy Protection in Mobile Recommender Systems: A SurveySecurity, Privacy, and Anonymity in Computation, Communication, and Storage10.1007/978-3-319-49148-6_26(305-318)Online publication date: 16-Nov-2016
https://dl.acm.org/doi/10.1007/978-3-319-49148-6_26

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