User Profiling for University Recommender System using Automatic Information Retrieval

被引:10
|
作者
Kanoje, Sumitkumar [1 ]
Mukhopadhyay, Debajyoti [1 ]
Girase, Sheetal [1 ]
机构
[1] MIT Pune, Dept Informat Technol, Pune 38, Maharashtra, India
关键词
User Profiling; Information Retrieval; Data Mining;
D O I
10.1016/j.procs.2016.02.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
User Profiling is the process of Extracting, Integrating and Identifying the keyword based information to generate a structured Profile and then visualizing the knowledge out of these findings. User profiling helps personalizing a system to work according to user. Therefore user profiling or personalization is one of the major concepts used for accessing the user relevant information, which can be used to solve the difficult problems of recommender system like classification and ranking of items in accordance with an individual's interest. In this paper we focus on the problem of user profiling in which we aim at finding, extracting and integrating keyword based information from various web sources to generate a structured profile. Further we do some experiments on the profiled information to generate knowledge out of it. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:5 / 12
页数:8
相关论文
共 50 条
  • [1] Recommender System - Making Lifestyle Healthy Using Information Retrieval
    Gaur, Neha
    Singh, Archana
    PROCEEDINGS ON 2016 2ND INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), 2016, : 479 - 484
  • [2] User Profiling in Travel Recommender System using Hybridization and Collaborative Method
    Anjali
    Sandhu, Jasminder Kaur
    Goyal, Deepam
    2021 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, AND INTELLIGENT SYSTEMS (ICCCIS), 2021, : 143 - 148
  • [3] Personalization of information retrieval through user profiling
    Kantamneni, RGP
    Narayanan, S
    2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE, 2002, : 3475 - 3478
  • [4] Adaptive User Profiling for Personalized Information Retrieval
    Jeon, Hochul
    Kim, Taehwan
    Choi, Joongmin
    THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, VOL 2, PROCEEDINGS, 2008, : 836 - 841
  • [5] User Profiling vs. Accuracy in Recommender System User Experience
    Cremonesi, Paolo
    Epifania, Francesco
    Garzotto, Franca
    PROCEEDINGS OF THE INTERNATIONAL WORKING CONFERENCE ON ADVANCED VISUAL INTERFACES, 2012, : 717 - 720
  • [6] User profiling for the Melvil knowledge retrieval system
    Fürnkranz, J
    Holzbaur, C
    Temel, R
    APPLIED ARTIFICIAL INTELLIGENCE, 2002, 16 (04) : 243 - 281
  • [7] An adaptive information retrieval system using a probabilistic user model
    Saito, K
    Shioya, H
    Da-te, T
    COMPUTING ANTICIPATORY SYSTEMS, 2001, 573 : 694 - 703
  • [9] A Hybrid Recommender System: User Profiling from Keywords and Ratings
    Stanescu, Ana
    Nagar, Swapnil
    Caragea, Doina
    2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 1, 2013, : 73 - 80
  • [10] MRBUP : MapReduce based scalable user profiling in recommender system
    Gautam, Anjali
    Bhasin, Veenu
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2024, 45 (04): : 935 - 945