Recommending scientific articles using citeULike

Toine Bogers; Antal Van Den Bosch

doi:10.1145/1454008.1454053

Recommending scientific articles using citeULike

Toine Bogers, Antal Van Den Bosch

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

We describe the use of the social reference management website CiteULike for recommending scientific articles to users, based on their reference library. We test three different collaborative filtering algorithms, and find that user-based filtering performs best. A temporal analysis of the data indexed by CiteULike shows that it takes about two years for the cold-start problem to disappear and recommendation performance to improve.

Originalsprog	Engelsk
Titel	RecSys'08 : Proceedings of the 2008 ACM Conference on Recommender Systems
Antal sider	4
Publikationsdato	1 dec. 2008
Sider	287-290
ISBN (Trykt)	9781605580937
DOI	https://doi.org/10.1145/1454008.1454053
Status	Udgivet - 1 dec. 2008
Udgivet eksternt	Ja
Begivenhed	2008 2nd ACM International Conference on Recommender Systems, RecSys'08 - Lausanne, Schweiz Varighed: 23 okt. 2008 → 25 okt. 2008

Konference

Konference	2008 2nd ACM International Conference on Recommender Systems, RecSys'08
Land/Område	Schweiz
By	Lausanne
Periode	23/10/2008 → 25/10/2008

Adgang til dokumentet

10.1145/1454008.1454053

Citationsformater

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title = "Recommending scientific articles using citeULike",

abstract = "We describe the use of the social reference management website CiteULike for recommending scientific articles to users, based on their reference library. We test three different collaborative filtering algorithms, and find that user-based filtering performs best. A temporal analysis of the data indexed by CiteULike shows that it takes about two years for the cold-start problem to disappear and recommendation performance to improve.",

keywords = "Reference management, Collaborative filtering, Recommendation systems, Cold-start problem, Temporal analysis",

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

year = "2008",

month = dec,

day = "1",

doi = "10.1145/1454008.1454053",

language = "English",

isbn = "9781605580937",

pages = "287--290",

booktitle = "RecSys'08",

note = "2008 2nd ACM International Conference on Recommender Systems, RecSys'08 ; Conference date: 23-10-2008 Through 25-10-2008",

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TY - GEN

T1 - Recommending scientific articles using citeULike

AU - Bogers, Toine

AU - Van Den Bosch, Antal

PY - 2008/12/1

Y1 - 2008/12/1

N2 - We describe the use of the social reference management website CiteULike for recommending scientific articles to users, based on their reference library. We test three different collaborative filtering algorithms, and find that user-based filtering performs best. A temporal analysis of the data indexed by CiteULike shows that it takes about two years for the cold-start problem to disappear and recommendation performance to improve.

AB - We describe the use of the social reference management website CiteULike for recommending scientific articles to users, based on their reference library. We test three different collaborative filtering algorithms, and find that user-based filtering performs best. A temporal analysis of the data indexed by CiteULike shows that it takes about two years for the cold-start problem to disappear and recommendation performance to improve.

KW - Reference management

KW - Collaborative filtering

KW - Recommendation systems

KW - Cold-start problem

KW - Temporal analysis

UR - http://www.scopus.com/inward/record.url?scp=63449085032&partnerID=8YFLogxK

U2 - 10.1145/1454008.1454053

DO - 10.1145/1454008.1454053

M3 - Article in proceedings

AN - SCOPUS:63449085032

SN - 9781605580937

SP - 287

EP - 290

BT - RecSys'08

T2 - 2008 2nd ACM International Conference on Recommender Systems, RecSys'08

Y2 - 23 October 2008 through 25 October 2008

ER -

Recommending scientific articles using citeULike

Abstract

Konference

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Citationsformater