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Multimodal Implicit Feedback for Recommender Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10363354" target="_blank" >RIV/00216208:11320/17:10363354 - isvavai.cz</a>

  • Result on the web

    <a href="http://ceur-ws.org/Vol-1885/240.pdf" target="_blank" >http://ceur-ws.org/Vol-1885/240.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multimodal Implicit Feedback for Recommender Systems

  • Original language description

    n this paper, we present an overview of our work towards utilization of multimodal implicit feedback in recommender systems for small e-commerce enterprises. We focus on deeper understanding of implicit user feedback as a rich source of heterogeneous information. We present a model of implicit feedback for e-commerce, discuss important contextual features affecting its values and describe ways to utilize it in the process of user preference learning and recommendation. We also briefly report on our previous experiments within this scope and describe a publicly available dataset containing such multimodal implicit feedback

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th Conference on Information Technologies - Applications and Theory (ITAT 2017)

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    240-245

  • Publisher name

    CEUR-WS

  • Place of publication

    Martinské hole

  • Event location

    Martinske Hole

  • Event date

    Sep 22, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article