Ontological user profiling in recommender systems

被引:612
作者
Middleton, SE [1 ]
Shadbolt, NR [1 ]
De Roure, DC [1 ]
机构
[1] Univ Southampton, Dept Elect & Comp Sci, Intelligence Agents Multimedia Grp, Southampton SO17 1BJ, Hants, England
关键词
algorithms; measurement; design; experimentation; agent; machine learning; ontology; personalization; recommender systems; user profiling; user modelling;
D O I
10.1145/963770.963773
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
We explore a novel ontological approach to user profiling within recommender systems, working on the problem of recommending on-line academic research papers. Our two experimental systems, Quickstep and Foxtrot, create user profiles from unobtrusively monitored behaviour and relevance feedback, representing the profiles in terms of a research paper topic ontology. A novel profile visualization approach is taken to acquire profile feedback. Research papers are classified using ontological classes and collaborative recommendation algorithms used to recommend papers seen by similar people on their current topics of interest. Two small-scale experiments, with 24 subjects over 3 months, and a large-scale experiment, with 260 subjects over an academic year, are conducted to evaluate different aspects of our approach. Ontological inference is shown to improve user profiling, external ontological knowledge used to successfully bootstrap a recommender system and profile visualization employed to improve profiling accuracy. The overall performance of our ontological recommender systems are also presented and favourably compared to other systems in the literature.
引用
收藏
页码:54 / 88
页数:35
相关论文
共 33 条
[1]
AHA DW, 1991, MACH LEARN, V6, P37, DOI 10.1007/BF00153759
[2]
Identifying communities of practice through ontology network analysis [J].
Alani, H ;
Dasmahapatra, S ;
O'Hara, K ;
Shadbolt, N .
IEEE INTELLIGENT SYSTEMS, 2003, 18 (02) :18-25
[3]
[Anonymous], ACM COMPUT SURV
[4]
Fab: Content-based, collaborative recommendation [J].
Balabanovic, M ;
Shoham, Y .
COMMUNICATIONS OF THE ACM, 1997, 40 (03) :66-72
[5]
User modeling for adaptive news access [J].
Billsus, D ;
Pazzani, MJ .
USER MODELING AND USER-ADAPTED INTERACTION, 2000, 10 (2-3) :147-180
[6]
BOLLACKER KD, 1998, AUT AG 98 MINN MINN
[7]
Information access in context [J].
Budzik, J ;
Hammond, KJ ;
Birnbaum, L .
KNOWLEDGE-BASED SYSTEMS, 2001, 14 (1-2) :37-53
[8]
CLAYPOOL M, 1999, P 22 INT ACM SIGIR C
[9]
CRAVEN M, 1998, P 15 NAT C ART INT A
[10]
DELGADO J, 1998, LECT NOTES ARTIFICIA, V1484