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Introduction to special section on CAMRa2010: Movie recommendation in context

Authors:

Shlomo Berkovsky,

Ernesto W. De LucaAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 4, Issue 1

Article No.: 13, Pages 1 - 9

https://doi.org/10.1145/2414425.2414438

Published: 01 February 2013 Publication History

Abstract

The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010) were conducted jointly in 2010 with the Recommender Systems conference. The challenge focused on three context-aware recommendation scenarios: time-based, mood-based, and social recommendation. The participants were provided with anonymized datasets from two real-world online movie recommendation communities and competed against each other for obtaining the highest accuracy of recommendations. The datasets contained contextual features, such as tags, annotation, social relationsips, and comments, normally not available in public recommendation datasets. More than 40 teams from 21 countries participated in the challenge. Their participation was summarized by 10 papers published by the workshop, which have been extended and revised for this special section. In this preface we overview the challenge datasets, tasks, evaluation metrics, and the obtained outcomes.

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Cited By

Said ABellogín A(2018)Coherence and inconsistencies in rating behaviorUser Modeling and User-Adapted Interaction10.1007/s11257-018-9202-028:2(97-125)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s11257-018-9202-0
Zhou CLi B(2014)A Heuristic Recommendation Method Based on Contextual Social NetworkProceedings of the 2014 IEEE 17th International Conference on Computational Science and Engineering10.1109/CSE.2014.139(642-646)Online publication date: 19-Dec-2014
https://dl.acm.org/doi/10.1109/CSE.2014.139

Index Terms

Introduction to special section on CAMRa2010: Movie recommendation in context
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information & Contributors

Information

Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 4, Issue 1

Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context

January 2013

357 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2414425

Issue’s Table of Contents

Copyright © 2013 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: 01 February 2013

Published in TIST Volume 4, Issue 1

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Cited By

Said ABellogín A(2018)Coherence and inconsistencies in rating behaviorUser Modeling and User-Adapted Interaction10.1007/s11257-018-9202-028:2(97-125)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s11257-018-9202-0
Zhou CLi B(2014)A Heuristic Recommendation Method Based on Contextual Social NetworkProceedings of the 2014 IEEE 17th International Conference on Computational Science and Engineering10.1109/CSE.2014.139(642-646)Online publication date: 19-Dec-2014
https://dl.acm.org/doi/10.1109/CSE.2014.139

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