Comparing and evaluating information retrieval algorithms for news recommendation

Toine Bogers*, Antal Van Den Bosch

*Corresponding author

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

42 Citations (Scopus)
Original languageEnglish
Title of host publicationRecSys'07 : Proceedings of the 2007 ACM Conference on Recommender Systems
Number of pages4
Publication date1 Dec 2007
Pages141-144
ISBN (Print)9781595937308
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
EventRecSys'07: 2007 1st ACM Conference on Recommender Systems - Minneapolis, MN, United States
Duration: 19 Oct 200720 Oct 2007

Conference

ConferenceRecSys'07: 2007 1st ACM Conference on Recommender Systems
CountryUnited States
CityMinneapolis, MN
Period19/10/200720/10/2007
SponsorACM Special Interest Group on Computer-Human Interaction, SIGCHI

Keywords

  • Evaluation
  • Information retrieval
  • Language modeling
  • News recommendation
  • Probabilistic IR
  • Recommender systems

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  • Cite this

    Bogers, T., & Van Den Bosch, A. (2007). Comparing and evaluating information retrieval algorithms for news recommendation. In RecSys'07: Proceedings of the 2007 ACM Conference on Recommender Systems (pp. 141-144) https://doi.org/10.1145/1297231.1297256