Ontological User Profiling in Recommender Systems


Middleton, Stuart E., Shadbolt, N.R. and De Roure, D.C. (2004) Ontological User Profiling in Recommender Systems. ACM Transactions on Information Systems (TOIS), 22, (1), 54-88.

Download

[img] PDF
Download (791Kb)

Description/Abstract

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.

Item Type: Article
Keywords: Agent, Machine learning, Ontology, Personalization, Recommender systems, User profiling, User modelling
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > IT Innovation Centre
ePrint ID: 258926
Date Deposited: 05 Mar 2004
Last Modified: 27 Mar 2014 20:01
Further Information:Google Scholar
ISI Citation Count:161
URI: http://eprints.soton.ac.uk/id/eprint/258926

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics