Communications of the ACM
Information storage and retrieval
Information storage and retrieval
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
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference 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
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
ACM Transactions on Information Systems (TOIS)
A personalized collaborative digital library environment: a model and an application
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Journal of the American Society for Information Science and Technology
An intelligent fuzzy-based recommendation system for consumer electronic products
Expert Systems with Applications: An International Journal
A personalized English learning recommender system for ESL students
Expert Systems with Applications: An International Journal
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
A consistency-based procedure to estimate missing pairwise preference values
International Journal of Intelligent Systems
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
A multi-disciplinar recommender system to advice research resources in University Digital Libraries
Expert Systems with Applications: An International Journal
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Hybrid web recommender systems
The adaptive web
Search Engines, Link Analysis, and User's Web Behavior: A Unifying Web Mining Approach
Search Engines, Link Analysis, and User's Web Behavior: A Unifying Web Mining Approach
Information Sciences: an International Journal
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Searching the Web: general and scientific information access
IEEE Communications Magazine
The problem of information overload in business organisations: a review of the literature
International Journal of Information Management: The Journal for Information Professionals
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Recommender systems evaluate and filter the great amount of information available on the Web, so they could be used in an academic environment to help users in their searches of relevant information. In the literature, a lot of approaches for generating personalized recommendations of information items in such environment can be found. Usually, these approaches use user profiles and/or features of items to predict those relevant items, but they do not take into account the quality of these items. To overcome this problem, in this paper we propose a new recommender system based on quality. This system uses the quality of the items to estimate their relevance. The system measures the item quality and takes into account this measure like a new factor to be considered in the recommendation process. In such a way, we present a recommender system based on items' quality, to help users to access relevant research resources. This recommender systems is developed by using a fuzzy linguistic approach and it has been tested satisfactorily in a university digital library.