Recommending Scientific Articles using CiteULike

T. Bogers; A. Van den Bosch

doi:10.1145/1454008.1454053

Recommending Scientific Articles using CiteULike

T. Bogers
, A. Van den Bosch

Tilburg University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › 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.

Original language	English
Title of host publication	RecSys '08: Proceedings of the 2008 ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery
Pages	287-290
DOIs	https://doi.org/10.1145/1454008.1454053
Publication status	Published - 2008
Externally published	Yes

Access to Document

10.1145/1454008.1454053

Cite this

@inproceedings{2fef8663ff214d89ae685e2471e3d4b4,

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.",

author = "T. Bogers and \{Van den Bosch\}, A.",

year = "2008",

doi = "10.1145/1454008.1454053",

language = "English",

pages = "287--290",

booktitle = "RecSys '08: Proceedings of the 2008 ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery",

address = "United States",

}

TY - GEN

T1 - Recommending Scientific Articles using CiteULike

AU - Bogers, T.

AU - Van den Bosch, A.

PY - 2008

Y1 - 2008

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.

U2 - 10.1145/1454008.1454053

DO - 10.1145/1454008.1454053

M3 - Conference contribution

SP - 287

EP - 290

BT - RecSys '08: Proceedings of the 2008 ACM Conference on Recommender Systems

PB - Association for Computing Machinery

ER -

Recommending Scientific Articles using CiteULike

Abstract

Access to Document

Fingerprint

Cite this