Elements of information theory
Elements of information theory
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Modern Information Retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
TiVo: making show recommendations using a distributed collaborative filtering architecture
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
Usage patterns of collaborative tagging systems
Journal of Information Science
Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
A time-based approach to effective recommender systems using implicit feedback
Expert Systems with Applications: An International Journal
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Probabilistic relevance ranking for collaborative filtering
Information Retrieval
Social ranking: uncovering relevant content using tag-based recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
CARD: a decision-guidance framework and application for recommending composite alternatives
Proceedings of the 2008 ACM conference on Recommender systems
A new approach to evaluating novel recommendations
Proceedings of the 2008 ACM conference on Recommender systems
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Collaborative Filtering for Implicit Feedback Datasets
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
Portfolio theory of information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Recommending new movies: even a few ratings are more valuable than metadata
Proceedings of the third ACM conference on Recommender systems
Workshop on social recommender systems
Proceedings of the 15th international conference on Intelligent user interfaces
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Use of social network information to enhance collaborative filtering performance
Expert Systems with Applications: An International Journal
Generalized distances between rankings
Proceedings of the 19th international conference on World wide web
Web search personalization via social bookmarking and tagging
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Recommender System for Online Social Network
Recommender System for Online Social Network
The task-dependent effect of tags and ratings on social media access
ACM Transactions on Information Systems (TOIS)
Content-based recommendation in social tagging systems
Proceedings of the fourth ACM conference on Recommender systems
A study of heterogeneity in recommendations for a social music service
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
Improving Recommender Systems by Incorporating Social Contextual Information
ACM Transactions on Information Systems (TOIS)
Self-adjusting hybrid recommenders based on social network analysis
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Intent-oriented diversity in recommender systems
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Rank and relevance in novelty and diversity metrics for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Precision-oriented evaluation of recommender systems: an algorithmic comparison
Proceedings of the fifth ACM conference on Recommender systems
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
Proceedings of the fifth ACM conference on Recommender systems
Workshop on novelty and diversity in recommender systems - DiveRS 2011
Proceedings of the fifth ACM conference on Recommender systems
Information Sciences: an International Journal
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Personalizing web search with folksonomy-based user and document profiles
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
Mining user similarity based on routine activities
Information Sciences: an International Journal
Similarity of fuzzy triangular number based on indifference area and its application
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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While recommendation approaches exploiting different input sources have started to proliferate in the literature, an explicit study of the effect of the combination of heterogeneous inputs is still missing. On the other hand, in this context there are sides to recommendation quality requiring further characterisation and methodological research - a gap that is acknowledged in the field. We present a comparative study on the influence that different types of information available in social systems have on item recommendation. Aiming to identify which sources of user interest evidence - tags, social contacts, and user-item interaction data - are more effective to achieve useful recommendations, and in what aspect, we evaluate a number of content-based, collaborative filtering, and social recommenders on three datasets obtained from Delicious, Last.fm, and MovieLens. Aiming to determine whether and how combining such information sources may enhance over individual recommendation approaches, we extend the common accuracy-oriented evaluation practice with various metrics to measure further recommendation quality dimensions, namely coverage, diversity, novelty, overlap, and relative diversity between ranked item recommendations. We report empiric observations showing that exploiting tagging information by content-based recommenders provides high coverage and novelty, and combining social networking and collaborative filtering information by hybrid recommenders results in high accuracy and diversity. This, along with the fact that recommendation lists from the evaluated approaches had low overlap and relative diversity values between them, gives insights that meta-hybrid recommenders combining the above strategies may provide valuable, balanced item suggestions in terms of performance and non-performance metrics.