Group recommendation in context

Alan Said; Shlomo Berkovsky; Ernesto W. De Luca

doi:10.1145/2096112.2096113

Group recommendation in context

Alan Said, Shlomo Berkovsky, Ernesto W. De Luca

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

27 Citations (Scopus)

Abstract

The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on Recommender Systems (RecSys2011). The challenge focused on group-based recommendation for households, as well as identification of household members who had rated specific movies. The participants were provided with anonymized datasets from a real world online movie recommendation community and competed against each other for obtaining the highest recommendation accuracy. Over 45 teams from 23 countries participated in the challenge. Their participation was summarized by the nine papers accepted to the CAMRa2011 workshop. This paper presents an overview of the tracks and datasets of CAMRa2011.

Original language	English
Title of host publication	Proceedings of the 2nd challenge on context-aware movie recommendation, CAMRa '11
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	2-4
Number of pages	3
ISBN (Electronic)	9781450308250
DOIs	https://doi.org/10.1145/2096112.2096113
Publication status	Published - 2011
Externally published	Yes
Event	2nd Challenge on Context-Aware Movie Recommendation, CAMRa '11 - Chicago, United States Duration: 23 Oct 2011 → 27 Oct 2011

Conference

Conference	2nd Challenge on Context-Aware Movie Recommendation, CAMRa '11
Country/Territory	United States
City	Chicago
Period	23/10/11 → 27/10/11

Keywords

Recommender systems
context-aware personalization
context modeling
group recommendations
movie recommendation
offline evaluation

Access to Document

10.1145/2096112.2096113

Cite this

@inproceedings{d6ea77adaa7348dc96b3641a5f9f0709,

title = "Group recommendation in context",

abstract = "The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on Recommender Systems (RecSys2011). The challenge focused on group-based recommendation for households, as well as identification of household members who had rated specific movies. The participants were provided with anonymized datasets from a real world online movie recommendation community and competed against each other for obtaining the highest recommendation accuracy. Over 45 teams from 23 countries participated in the challenge. Their participation was summarized by the nine papers accepted to the CAMRa2011 workshop. This paper presents an overview of the tracks and datasets of CAMRa2011.",

keywords = "Recommender systems, context-aware personalization, context modeling, group recommendations, movie recommendation, offline evaluation",

author = "Alan Said and Shlomo Berkovsky and {De Luca}, {Ernesto W.}",

year = "2011",

doi = "10.1145/2096112.2096113",

language = "English",

pages = "2--4",

booktitle = "Proceedings of the 2nd challenge on context-aware movie recommendation, CAMRa '11",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "2nd Challenge on Context-Aware Movie Recommendation, CAMRa '11 ; Conference date: 23-10-2011 Through 27-10-2011",

}

Said, A, Berkovsky, S & De Luca, EW 2011, Group recommendation in context. in Proceedings of the 2nd challenge on context-aware movie recommendation, CAMRa '11. Association for Computing Machinery (ACM), New York, pp. 2-4, 2nd Challenge on Context-Aware Movie Recommendation, CAMRa '11, Chicago, Illinois, United States, 23/10/11. https://doi.org/10.1145/2096112.2096113

TY - GEN

T1 - Group recommendation in context

AU - Said, Alan

AU - Berkovsky, Shlomo

AU - De Luca, Ernesto W.

PY - 2011

Y1 - 2011

N2 - The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on Recommender Systems (RecSys2011). The challenge focused on group-based recommendation for households, as well as identification of household members who had rated specific movies. The participants were provided with anonymized datasets from a real world online movie recommendation community and competed against each other for obtaining the highest recommendation accuracy. Over 45 teams from 23 countries participated in the challenge. Their participation was summarized by the nine papers accepted to the CAMRa2011 workshop. This paper presents an overview of the tracks and datasets of CAMRa2011.

AB - The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on Recommender Systems (RecSys2011). The challenge focused on group-based recommendation for households, as well as identification of household members who had rated specific movies. The participants were provided with anonymized datasets from a real world online movie recommendation community and competed against each other for obtaining the highest recommendation accuracy. Over 45 teams from 23 countries participated in the challenge. Their participation was summarized by the nine papers accepted to the CAMRa2011 workshop. This paper presents an overview of the tracks and datasets of CAMRa2011.

KW - Recommender systems

KW - context-aware personalization

KW - context modeling

KW - group recommendations

KW - movie recommendation

KW - offline evaluation

U2 - 10.1145/2096112.2096113

DO - 10.1145/2096112.2096113

M3 - Conference proceeding contribution

SP - 2

EP - 4

BT - Proceedings of the 2nd challenge on context-aware movie recommendation, CAMRa '11

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - 2nd Challenge on Context-Aware Movie Recommendation, CAMRa '11

Y2 - 23 October 2011 through 27 October 2011

ER -

Group recommendation in context

Abstract

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Keywords

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