Personalised rating prediction for new users using latent factor models

Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    34 Citations (Scopus)
    Original languageEnglish
    Title of host publicationProceedings of the 22nd ACM Conference on Hypertext and Hypermedia
    EditorsPaul De Bra, Kaj Gronbaek
    Place of PublicationNew York NY USA
    PublisherAssociation for Computing Machinery (ACM)
    Pages47 - 56
    Number of pages10
    ISBN (Print)9781450302562
    DOIs
    Publication statusPublished - 2011
    EventACM Conference on Hypertext and Hypermedia 2011 - Eindhoven, Netherlands
    Duration: 6 Jun 20119 Jun 2011
    Conference number: 22nd

    Conference

    ConferenceACM Conference on Hypertext and Hypermedia 2011
    Abbreviated titleHypertext
    CountryNetherlands
    CityEindhoven
    Period6/06/119/06/11

    Cite this

    Seroussi, Y., Bohnert, F., & Zukerman, I. (2011). Personalised rating prediction for new users using latent factor models. In P. De Bra, & K. Gronbaek (Eds.), Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia (pp. 47 - 56). New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/1995966.1995976
    Seroussi, Yanir ; Bohnert, Fabian ; Zukerman, Ingrid. / Personalised rating prediction for new users using latent factor models. Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia. editor / Paul De Bra ; Kaj Gronbaek. New York NY USA : Association for Computing Machinery (ACM), 2011. pp. 47 - 56
    @inproceedings{649ddc897fa343b7ba9b6458b2afeeb9,
    title = "Personalised rating prediction for new users using latent factor models",
    author = "Yanir Seroussi and Fabian Bohnert and Ingrid Zukerman",
    year = "2011",
    doi = "10.1145/1995966.1995976",
    language = "English",
    isbn = "9781450302562",
    pages = "47 -- 56",
    editor = "{De Bra}, Paul and Kaj Gronbaek",
    booktitle = "Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia",
    publisher = "Association for Computing Machinery (ACM)",
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    Seroussi, Y, Bohnert, F & Zukerman, I 2011, Personalised rating prediction for new users using latent factor models. in P De Bra & K Gronbaek (eds), Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia. Association for Computing Machinery (ACM), New York NY USA, pp. 47 - 56, ACM Conference on Hypertext and Hypermedia 2011, Eindhoven, Netherlands, 6/06/11. https://doi.org/10.1145/1995966.1995976

    Personalised rating prediction for new users using latent factor models. / Seroussi, Yanir; Bohnert, Fabian; Zukerman, Ingrid.

    Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia. ed. / Paul De Bra; Kaj Gronbaek. New York NY USA : Association for Computing Machinery (ACM), 2011. p. 47 - 56.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    AU - Bohnert, Fabian

    AU - Zukerman, Ingrid

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    M3 - Conference Paper

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    BT - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia

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    Seroussi Y, Bohnert F, Zukerman I. Personalised rating prediction for new users using latent factor models. In De Bra P, Gronbaek K, editors, Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia. New York NY USA: Association for Computing Machinery (ACM). 2011. p. 47 - 56 https://doi.org/10.1145/1995966.1995976