Contextual collaborative filtering using tagging information

被引:0
|
作者
Nakamoto, Reyn [1 ]
Nakajima, Shinsuke [1 ]
Miyazaki, Jun [1 ]
Uemura, Shunsuke [1 ]
机构
[1] Nara Inst Sci & Technol, Grad Sch Informat Sci, Database Lab, 8916-5 Takayama, Nara 6300101, Japan
关键词
collaborative ltering; tagging; recommendation systems; information retrieval;
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 introduce a new Collaborative Filtering (CF) model which takes into consideration users' context based upon tagging information such as available from recently popular social tagging systems. In numerous implementations, traditional CF systems have been proven to work well under certain circumstances. However, CF systems still suffer a weakness: They do not take context into consideration. Yet recently, social tagging systems have become popular-these systems provide a well suited combination of context clues through tags as well as important social connectivity among users. Thus, we combine the features of these two systems to create a contextual CF model based upon tagging information.
引用
收藏
页码:964 / +
页数:2
相关论文
共 50 条
  • [31] Multidimensional filtering approach based on contextual information
    Cho, Sunghoon
    Lee, Moohun
    Jang, Changbok
    Choi, Euiin
    [J]. 2006 INTERNATIONAL CONFERENCE ON HYBRID INFORMATION TECHNOLOGY, VOL 2, PROCEEDINGS, 2006, : 497 - 504
  • [32] Enhancing Collaborative Filtering with Friendship Information
    Ardissono, Liliana
    Ferrero, Maurizio
    Petrone, Giovanna
    Segnan, Marino
    [J]. PROCEEDINGS OF THE 25TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'17), 2017, : 353 - 354
  • [33] A collaborative filtering system of information on the Internet
    Lee, D
    Choi, H
    [J]. COMPUTATIONAL SCIENCE-ICCS 2002, PT III, PROCEEDINGS, 2002, 2331 : 1090 - 1099
  • [34] Collaborative information filtering in cooperative communities
    Miyahara, K
    Okamoto, T
    [J]. JOURNAL OF COMPUTER ASSISTED LEARNING, 1998, 14 (02) : 100 - 109
  • [35] A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks
    Gonzalo-Alonso, Jorge
    de Juan, Paloma
    Garcia-Hortelano, Elena
    Iglesias, Carlos A.
    [J]. DISCOVERY SCIENCE, PROCEEDINGS, 2009, 5808 : 393 - +
  • [36] Recommender Systems Using Collaborative Tagging
    Banda, Latha
    Singh, Karan
    Le Hoang Son
    Abdel-Basset, Mohamed
    Pham Huy Thong
    Hiep Xuan Huynh
    Taniar, David
    [J]. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 2020, 16 (03) : 183 - 200
  • [37] Empowering neural collaborative filtering with contextual features for multimedia recommendation
    Israr ur Rehman
    Muhammad Shehzad Hanif
    Zulfiqar Ali
    Zahoor Jan
    Cobbinah Bernard Mawuli
    Waqar Ali
    [J]. Multimedia Systems, 2023, 29 : 2375 - 2388
  • [38] Empowering neural collaborative filtering with contextual features for multimedia recommendation
    Rehman, Israr ur
    Hanif, Muhammad Shehzad
    Ali, Zulfiqar
    Jan, Zahoor
    Mawuli, Cobbinah Bernard
    Ali, Waqar
    [J]. MULTIMEDIA SYSTEMS, 2023, 29 (04) : 2375 - 2388
  • [39] A Social Tagging Based Collaborative Filtering Recommendation Algorithm for Digital Library
    Yuan, Zhenming
    Yu, Tianhao
    Zhang, Jia
    [J]. DIGITAL LIBRARIES: FOR CULTURAL HERITAGE, KNOWLEDGE DISSEMINATION, AND FUTURE CREATION: ICADL 2011, 2011, 7008 : 192 - 201
  • [40] A Collaborative Filtering Recommendation Algorithm using User Implicit Demographic Information
    Wang, Xiaoyun
    Zhou, Chao
    [J]. PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 935 - 939