Comparing and evaluating information retrieval algorithms for news recommendation

Toine Bogers; Antal Van Den Bosch

doi:10.1145/1297231.1297256

Comparing and evaluating information retrieval algorithms for news recommendation

Toine Bogers^*, Antal Van Den Bosch

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

53 Citationer (Scopus)

Abstract

In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms. Using more current probabilistic retrieval algorithms results in significant performance boosts. We test our ideas on a test collection that we have made publicly available. We perform both binary and graded evaluation of our algorithms and argue for the need for more graded evaluation of content-based recommender systems.

Originalsprog	Engelsk
Titel	RecSys'07 : Proceedings of the 2007 ACM Conference on Recommender Systems
Antal sider	4
Publikationsdato	1 dec. 2007
Sider	141-144
ISBN (Trykt)	9781595937308
DOI	https://doi.org/10.1145/1297231.1297256
Status	Udgivet - 1 dec. 2007
Udgivet eksternt	Ja
Begivenhed	RecSys'07: 2007 1st ACM Conference on Recommender Systems - Minneapolis, MN, USA Varighed: 19 okt. 2007 → 20 okt. 2007

Konference

Konference	RecSys'07: 2007 1st ACM Conference on Recommender Systems
Land/Område	USA
By	Minneapolis, MN
Periode	19/10/2007 → 20/10/2007
Sponsor	ACM Special Interest Group on Computer-Human Interaction, SIGCHI

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10.1145/1297231.1297256

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Citationsformater

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title = "Comparing and evaluating information retrieval algorithms for news recommendation",

abstract = "In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms. Using more current probabilistic retrieval algorithms results in significant performance boosts. We test our ideas on a test collection that we have made publicly available. We perform both binary and graded evaluation of our algorithms and argue for the need for more graded evaluation of content-based recommender systems.",

keywords = "Evaluation, Information retrieval, Language modeling, News recommendation, Probabilistic IR, Recommender systems",

author = "Toine Bogers and {Van Den Bosch}, Antal",

year = "2007",

month = dec,

day = "1",

doi = "10.1145/1297231.1297256",

language = "English",

isbn = "9781595937308",

pages = "141--144",

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T1 - Comparing and evaluating information retrieval algorithms for news recommendation

AU - Bogers, Toine

AU - Van Den Bosch, Antal

PY - 2007/12/1

Y1 - 2007/12/1

N2 - In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms. Using more current probabilistic retrieval algorithms results in significant performance boosts. We test our ideas on a test collection that we have made publicly available. We perform both binary and graded evaluation of our algorithms and argue for the need for more graded evaluation of content-based recommender systems.

AB - In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms. Using more current probabilistic retrieval algorithms results in significant performance boosts. We test our ideas on a test collection that we have made publicly available. We perform both binary and graded evaluation of our algorithms and argue for the need for more graded evaluation of content-based recommender systems.

KW - Evaluation

KW - Information retrieval

KW - Language modeling

KW - News recommendation

KW - Probabilistic IR

KW - Recommender systems

UR - http://www.scopus.com/inward/record.url?scp=42149195033&partnerID=8YFLogxK

U2 - 10.1145/1297231.1297256

DO - 10.1145/1297231.1297256

M3 - Article in proceeding

AN - SCOPUS:42149195033

SN - 9781595937308

SP - 141

EP - 144

BT - RecSys'07

T2 - RecSys'07: 2007 1st ACM Conference on Recommender Systems

Y2 - 19 October 2007 through 20 October 2007

ER -

Comparing and evaluating information retrieval algorithms for news recommendation

Abstract

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