Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/lightweight-tourism-recommendation-Nyu3Ff0SjN
References (32)
-
J. Breese, D. Heckerman, C. Kadie (1998)
Empirical Analysis of Predictive Algorithms for Collaborative Filtering -
Chi-Hoon Lee, Kim Hyeon, P. Rhee (2001)
Web personalization expert with combining collaborative filtering and association rule mining techniqueExpert Syst. Appl., 21
-
D. Benyon, Dianne Murray (1993)
Developing adaptive systems to fit individual aptitudes -
F. Ricci (2002)
Travel Recommender Systems -
K. Cheung, J. Kwok, Martin Law, K. Tsui (2003)
Mining customer product ratings for personalized marketingDecis. Support Syst., 35
-
M. Claypool, Anuja Gokhale, Tim Miranda, Paul Murnikov, Dmitry Netes, M. Sartin (1999)
Combining Content-Based and Collaborative Filters in an Online Newspaper -
B. Sarwar, J. Konstan, Al Borchers, Jonathan Herlocker, Bradley Miller, J. Riedl (1998)
Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system -
S. Loh, Fabiana Lorenzi, R. Garin, Daniel Lichtnow (2003)
A Tourism Recommender System Based on Collaboration and Text AnalysisJ. Inf. Technol. Tour., 6
-
(1999)
Research resources for recommender systems’, CHI 99 Workshop Interacting with Recommender Systems -
Tobias Berka, M. Plößnig (2003)
Designing Recommender Systems for Tourism -
Michelle Condliff, David Lewis, D. Madigan, C. Posse (1999)
Bayesian Mixed-Effects Models for Recommender Systems -
Peter Brusilovsky (2002)
From adaptive hypermedia to the adaptive web -
A. Jennings, Hideyuki Higuchi (1992)
A Personal News Service Based on a User Model Neural NetworkTransactions of the Institute of electronics, information and communication engineers, 75
-
Ed Chi, P. Pirolli, Kim Chen, J. Pitkow (2001)
Using information scent to model user information needs and actions and the WebProceedings of the SIGCHI Conference on Human Factors in Computing Systems
-
K. Lang (1995)
NewsWeeder: Learning to Filter Netnews -
A. Kobsa (2001)
Generic User Modeling SystemsUser Modeling and User-Adapted Interaction, 11
-
B. Sarwar, G. Karypis, J. Konstan, J. Riedl (2000)
Analysis of recommendation algorithms for e-commerce -
M. Zanker, M. Fuchs, W. Höpken, M. Tuta, Nina Müller (2008)
Evaluating Recommender Systems in Tourism - A Case Study from Austria -
J. Schafer, J. Konstan, J. Riedl, Ron Kohavi, F. Provost (2004)
E-Commerce Recommendation ApplicationsData Mining and Knowledge Discovery, 5
-
A. Almeida, Bruno Coelho, C. Martins (2010)
Intelligent Hybrid Architecture for Tourism Services -
A. Hinze, G. Buchanan (2005)
Context-awareness in mobile tourist information systems: challenges for user interaction -
O. Stock, E. Not, M. Zancanaro (2005)
Intelligent Interactive Information Presentation for Cultural Tourism -
Christopher Avery, R. Zeckhauser (1997)
Recommender systems for evaluating computer messagesCommun. ACM, 40
-
Ingo Schwab, Ivan Koychev (2000)
Adaptation to Drifting User's Interests -
B. Sarwar, G. Karypis, J. Konstan, J. Riedl (2001)
Item-based collaborative filtering recommendation algorithms -
(2009)
Tours planning decision support -
Bruno Coelho, C. Martins, A. Almeida (2009)
Adaptive Tourism Modeling and Socialization System2009 International Conference on Computational Science and Engineering, 4
-
Joseph Grobelny (2009)
Designing for the Social WebJournal of Web Librarianship, 3
-
H. Werthner, F. Ricci (2004)
E-commerce and tourismCommun. ACM, 47
-
M. Pazzani (1999)
A Framework for Collaborative, Content-Based and Demographic FilteringArtificial Intelligence Review, 13
-
A. Felfernig, S. Gordea, D. Jannach, E. Teppan, M. Zanker (2006)
A Short Survey of Recommendation Technologies in Travel and Tourism, 25
-
M. Balabanovic, Y. Shoham (1997)
Fab: content-based, collaborative recommendationCommun. ACM, 40
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1476-1289
- eISSN
- 1741-9212
- DOI
- 10.1504/IJWET.2013.055712
- Publisher site
- See Article on Publisher Site
Abstract
In this paper, we present the tours planning system entitled TOURSPLAN, along with a new lightweight user modelling (UM) process intended to work as a tourism recommendation system in a commercial environment. The new process tackles issues like cold start, grey sheep and over-specialisation through a rich user model and the application of a gradual forgetting function to the collected user action history. Also, significant performance improvements were achieved regarding the previously proposed UM process.
Journal
International Journal of Web Engineering and Technology – Inderscience Publishers
Published: Jan 1, 2013