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The use of belief function theory in recommendation based on a similarity diffusion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F19%3A43899879" target="_blank" >RIV/60076658:12510/19:43899879 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The use of belief function theory in recommendation based on a similarity diffusion

  • Original language description

    At present, recommendation systems are integral part of recommendation systems in e-business. In these systems, collaborative filtering technology is an important method for assessing user preferences by using user feedback data and is widely used. Diffusion-based recommendation based on diffusion phenomenon is an important method in collaborative filtering recommendation for processes that can be modelled by a bipartite network, e.g., processes which can represent behavior between users and e-shops. Diffusion-based recommendation algorithms calculate the similarities between users and make recommendations only regarding implicit feedback but neglect the benefits of explicit feedback which is formed by texts written by users during feedback process next to evaluation by certain amount of points (implicit feedback). These texts can be however a significant element in recommendation systems. This paper proposes a combined diffusion similarity model for the integration of explicit feedback and implicit feedback based on Dempster-Shafer theory. The experimental results show that the proposed solution gives good results compared to other algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Conference Proceedings of 37th International Conference on Mathematical Methods in Economics 2019

  • ISBN

    978-80-7394-760-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    356-361

  • Publisher name

    University of South Bohemia in České Budějovice, Faculty of Economics

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Sep 11, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article