Content-based recommender system for online stores using expert system

被引：7
|
作者：
Walek, Bogdan [1 ]
Spackova, Petra [1 ]
机构：
[1] Univ Ostrava, Dept Informat & Comp, Ostrava, Czech Republic
来源：
2018 IEEE FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE) | 2018年
关键词：
content-based system; recommender system; online store; expert system; adaptivity;
D O I：
10.1109/AIKE.2018.00036
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with a content-based recommender system for online stores using the expert system. We propose an algorithm which adapts the content based on user preferences and the content viewed by the user. The main goal of the recommender system is to propose and deliver suitable content to the user. One of the goals of the proposed recommender system is to decrease the cold start effect. At the end of the paper, the proposed system is experimentally verified.
引用
收藏
页码：164 / 165
页数：2
相关论文
共 50 条
  • [1] Collaborating personalized recommender system and content-based recommender system using TextCorpus
    Amara, Srikar
    Subramanian, R. Raja
    2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS), 2020, : 105 - 109
  • [2] Using structural knowledge in a Content-Based Recommender System
    de Campos, L. M.
    Fernandez-Luna, J. M.
    Huete, J. F.
    Rueda-Morales, M. A.
    COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 871 - 876
  • [3] Using affective parameters in a content-based recommender system for images
    Marko Tkalčič
    Urban Burnik
    Andrej Košir
    User Modeling and User-Adapted Interaction, 2010, 20 : 279 - 311
  • [4] Content-based Fashion Recommender System Using Unsupervised Learning
    Guillermo, Marielet
    Espanola, Jason
    Kerwin Billones, Robert
    Rhay Vicerra, Ryan
    Bandala, Argel
    Sybingco, Edwin
    Dadios, Elmer P.
    Fillone, Alexis
    2021 IEEE REGION 10 CONFERENCE (TENCON 2021), 2021, : 29 - 34
  • [5] Using affective parameters in a content-based recommender system for images
    Tkalcic, Marko
    Burnik, Urban
    Kosir, Andrej
    USER MODELING AND USER-ADAPTED INTERACTION, 2010, 20 (04) : 279 - 311
  • [6] Incorporating Dynamic Information into Content-Based Recommender System in Online Learning Environment
    Tang, Qing
    Abel, Marie-Helene
    Negre, Elsa
    PROGRESSES IN ARTIFICIAL INTELLIGENCE & ROBOTICS: ALGORITHMS & APPLICATIONS, 2022, : 97 - 106
  • [7] A content-based recommender system for choosing universities
    Mokarrama, Miftahul Jannat
    Khatun, Sumi
    Arefin, Mohammad Shamsul
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2020, 28 (04) : 2128 - 2142
  • [8] A Multimedia Content Recommender System Using Table of Contents and Content-Based Filtering
    Hariri, Waleed
    Ghauth, Khairil Imran
    Eswaran, C.
    ADVANCED SCIENCE LETTERS, 2018, 24 (02) : 1119 - 1123
  • [9] Content-based Clothing Recommender System using Deep Neural Network
    Gharaei, Narges Yarahmadi
    Dadkhah, Chitra
    Daryoush, Lorence
    2021 26TH INTERNATIONAL COMPUTER CONFERENCE, COMPUTER SOCIETY OF IRAN (CSICC), 2021,
  • [10] Developing content-based recommender system using Hadoop Map Reduce
    Gautam, Anjali
    Bedi, Punam
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (04) : 2997 - 3008
12345