Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PHOAKS: a system for sharing recommendations
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Information Retrieval
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Understanding and improving automated collaborative filtering systems
Understanding and improving automated collaborative filtering systems
Sparsity, scalability, and distribution in recommender systems
Sparsity, scalability, and distribution in recommender systems
Nantonac collaborative filtering: recommendation based on order responses
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Information Systems (TOIS)
VISCORS: A Visual-Content Recommender for the Mobile Web
IEEE Intelligent Systems
An efficient e-mail filtering using time priority measurement
Information Sciences—Informatics and Computer Science: An International Journal
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Exploiting concept clusters for content-based information retrieval
Information Sciences—Informatics and Computer Science: An International Journal
Optimal Allocation of Proposals to Reviewers to Facilitate Effective Ranking
Management Science
DCFLA: A distributed collaborative-filtering neighbor-locating algorithm
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
Intelligent e-government services with personalized recommendation techniques: Research Articles
International Journal of Intelligent Systems
Using SVD and demographic data for the enhancement of generalized Collaborative Filtering
Information Sciences: an International Journal
Collaborative Filtering Using Dual Information Sources
IEEE Intelligent Systems
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Individual and group behavior-based customer profile model for personalized product recommendation
Expert Systems with Applications: An International Journal
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Journal of Artificial Intelligence Research
Mining Mobile Sequential Patterns in a Mobile Commerce Environment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
A web search-centric approach to recommender systems with URLs as minimal user contexts
Journal of Systems and Software
Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization
Information Sciences: an International Journal
Information Sciences: an International Journal
Collaborative filtering based on significances
Information Sciences: an International Journal
The dynamic competitive recommendation algorithm in social network services
Information Sciences: an International Journal
Preference elicitation techniques for group recommender systems
Information Sciences: an International Journal
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
Finding the hidden gems: recommending untagged music
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Electronic Commerce Research and Applications
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
On-line dynamic adaptation of fuzzy preferences
Information Sciences: an International Journal
A comparative study of heterogeneous item recommendations in social systems
Information Sciences: an International Journal
A personalized trustworthy seller recommendation in an open market
Expert Systems with Applications: An International Journal
Information Processing and Management: an International Journal
Mining interesting user behavior patterns in mobile commerce environments
Applied Intelligence
A comparison of clustering-based privacy-preserving collaborative filtering schemes
Applied Soft Computing
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
Recommending social network applications via social filtering mechanisms
Information Sciences: an International Journal
Improving collaborative filtering-based recommender systems results using Pareto dominance
Information Sciences: an International Journal
Knowledge-Based Systems
Recommendation in online shopping malls: results and experiences
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
Hi-index | 0.08 |
Collaborative filtering (CF)-based recommender systems represent a promising solution for the rapidly growing mobile music market. However, in the mobile Web environment, a traditional CF system that uses explicit ratings to collect user preferences has a limitation: mobile customers find it difficult to rate their tastes directly because of poor interfaces and high telecommunication costs. Implicit ratings are more desirable for the mobile Web, but commonly used cardinal (interval, ratio) scales for representing preferences are also unsatisfactory because they may increase estimation errors. In this paper, we propose a CF-based recommendation methodology based on both implicit ratings and less ambitious ordinal scales. A mobile Web usage mining (mWUM) technique is suggested as an implicit rating approach, and a specific consensus model typically used in multi-criteria decision-making (MCDM) is employed to generate an ordinal scale-based customer profile. An experiment with the participation of real mobile Web customers shows that the proposed methodology provides better performance than existing CF algorithms in the mobile Web environment.