Explicit Feedback Based Movie Recommendation System: a Survey

被引:0
|
作者
Reshak, Kaiser A. [1 ]
Dhannoon, Ban N. [1 ]
Sultani, Zainab N. [1 ]
机构
[1] Al Nahrain Univ, Coll Sci, Comp Sci Dept, Baghdad, Iraq
关键词
Recommender system; Movie recommendation system; content-based filtering; collaborative filtering;
D O I
10.1063/5.0027433
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
There is a significant growth of systems that provide a huge amount of data over social relationships. Technological advances nowadays allow social-based technology to grow continuously. There are many information systems through which users can share different types of information about products and/or services. Users build rich relationships based on new technology models. Today, many recommendation systems have been developed for different domains, however, they are not accurate enough to achieve users' information needs. Therefore, it is necessary to build high-quality recommendation systems. Designers face many problems and challenges that require appropriate attention in their design. In this paper, recent literatures on the movie recommendation system are reviewed in order to envisage methods, challenges and research opportunities in developing a high-quality recommendation.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Movie Recommendation System Based on Movie Swarm
    Halder, Sajal
    Sarkar, A. M. Jehad
    Lee, Young-Koo
    SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012), 2012, : 804 - 809
  • [2] A Survey on Personalized Movie Recommendation System Using Machine Learning
    Teppalwar, Vansh
    Sahoo, Kanhu Charan
    Jaiswal, R. C.
    Munot, Mousami, V
    SMART TRENDS IN COMPUTING AND COMMUNICATIONS, VOL 1, SMARTCOM 2024, 2024, 945 : 305 - 314
  • [3] MovRec: A personalized movie recommendation system for children based on online movie features
    Ng Y.-K.
    Ng, Yiu-Kai (ng@compsci.byu.edu), 2017, Emerald Group Holdings Ltd. (13) : 445 - 470
  • [4] Connotative Features Based Affective Movie Recommendation System
    Meshram, N. G.
    Bhagat, A. P.
    2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
  • [5] Research on Movie Recommendation System Based on Multimodal Fusion
    Duan, Ganglong
    Li, Yang
    Liu, Meng
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 4225 - 4230
  • [6] A Movie Recommendation System Based on Differential Privacy Protection
    Li, Min
    Zeng, Yingming
    Guo, Yue
    Guo, Yun
    SECURITY AND COMMUNICATION NETWORKS, 2020, 2020
  • [7] Recommendation algorithm based on Explicit and Implicit feedback Matrix factorization
    Xiao Xiaoli
    Yan Rongjun
    Tan Dong
    2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019), 2019, : 903 - 909
  • [8] A personalised movie recommendation system based on collaborative filtering
    Subramaniyaswamy V.
    Logesh R.
    Chandrashekhar M.
    Challa A.
    Vijayakumar V.
    Subramaniyaswamy, V. (vsubramaniyaswamy@gmail.com), 2017, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (10) : 54 - 63
  • [9] Movie Recommendation System Research Based on Improved DeepFM
    Zhou, Chao
    Cong, Xin
    Zi, Lingling
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 4236 - 4241
  • [10] FedRec: Federated Recommendation With Explicit Feedback
    Lin, Guanyu
    Liang, Feng
    Pan, Weike
    Ming, Zhong
    IEEE INTELLIGENT SYSTEMS, 2021, 36 (05) : 21 - 29