Movie Recommender System Using the User's Psychological Profile

被引：0
|
作者：
Chiru, Costin-Gabriel [1 ]
Dinu, Vladimir-Nicolae [1 ]
Preda, Catalina [1 ]
Macri, Matei [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Comp Sci & Engn, Bucharest, Romania
来源：
2015 IEEE 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP) | 2015年
关键词：
recommender system; user psychological profile; filtering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present Movie Recommender, a system which provides movie recommendations based on the information known about the users. These recommendations are done using the analysis of the users' psychological profile, their watching history and the movies scores from other websites. They are based on aggregate similarity calculation. The system uses both collaborative filtering and content filtering (using an approach based on different features of the movies from the database). Although there are similar applications available, they tend to ignore the data specific to the user, which in our opinion is essential for his/her behavior.
引用
收藏
页码：93 / 99
页数：7
相关论文
共 50 条
  • [1] Multi criteria Pseudo rating and Multidimensional User profile for Movie Recommender System
    Rattanajitbanjong, Nutcha
    Maneeroj, Saranya
    2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 2, 2009, : 596 - 601
  • [2] A compact user model for hybrid movie recommender system
    Al-Shamri, Mohammad Yahya H.
    Bharadwaj, Kamal K.
    ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS, 2007, : 519 - 524
  • [3] Effectivecollaborative movie recommender system using asymmetric user similarity and matrix factorization
    Katarya, Rahul
    Verma, Om Prakash
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 71 - 75
  • [4] Dynamic user profile for adaptive personalized recommender system using learning automata
    Farahani, Mansoureh Ghiasabadi
    Torkestani, Javad Akbari
    Rahmani, Mohsen
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (17) : 49905 - 49925
  • [5] Dynamic user profile for adaptive personalized recommender system using learning automata
    Mansoureh Ghiasabadi Farahani
    Javad Akbari Torkestani
    Mohsen Rahmani
    Multimedia Tools and Applications, 2024, 83 : 49905 - 49925
  • [6] Text recommender system using user's usage patterns
    Kim, Yong Soo
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2011, 111 (1-2) : 282 - 297
  • [7] A Movie Recommender System Using Modified Cuckoo Search
    Singh, Suraj Pal
    Solanki, Shano
    EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY, ICERECT 2018, 2019, 545 : 471 - 482
  • [8] Intelligent Movie Recommender System Using Machine Learning
    Mahata, Abhishek
    Saini, Nandini
    Saharawat, Sneha
    Tiwari, Ritu
    INTELLIGENT HUMAN COMPUTER INTERACTION, IHCI 2016, 2017, 10127 : 94 - 110
  • [9] A User-Centric Diversity by Design Recommender System for the Movie Application Domain
    Zanitti, Michele
    Kosta, Sokol
    Sorensen, Jannick
    COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018), 2018, : 1381 - 1389
  • [10] A Content-based Movie Recommender System based on Temporal User Preferences
    Cami, Bagher Rahimpour
    Hassanpour, Hamid
    Mashayekhi, Hoda
    2017 3RD IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS), 2017, : 121 - 125
12345