GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
A New Matrix-Free Algorithm for the Large-Scale Trust-Region Subproblem
SIAM Journal on Optimization
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Comparison-Based Recommendation
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ITR: A Case-Based Travel Advisory System
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Lies and propaganda: detecting spam users in collaborative filtering
Proceedings of the 12th international conference on Intelligent user interfaces
Recommender systems and their impact on sales diversity
Proceedings of the 8th ACM conference on Electronic commerce
New Recommendation Techniques for Multicriteria Rating Systems
IEEE Intelligent Systems
Algorithm 873: LSTRS: MATLAB software for large-scale trust-region subproblems and regularization
ACM Transactions on Mathematical Software (TOMS)
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Introduction to Information Retrieval
Introduction to Information Retrieval
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Preference-aware publish/subscribe delivery with diversity
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Statistical Modeling of Diversity in Top-N Recommender Systems
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Novel Item Recommendation by User Profile Partitioning
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Donation dashboard: a recommender system for donation portfolios
Proceedings of the third ACM conference on Recommender systems
Enhancing diversity in Top-N recommendation
Proceedings of the third ACM conference on Recommender systems
Jointly optimising relevance and diversity in image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
A Spatial User Similarity Measure for Geographic Recommender Systems
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
PerK: personalized keyword search in relational databases through preferences
Proceedings of the 13th International Conference on Extending Database Technology
Temporal diversity in recommender systems
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
ACM SIGMOD Record
Breaking out of the box of recommendations: from items to packages
Proceedings of the fourth ACM conference on Recommender systems
Do clicks measure recommendation relevancy?: an empirical user study
Proceedings of the fourth ACM conference on Recommender systems
Evaluating, combining and generalizing recommendations with prerequisites
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation
ACM Transactions on Internet Technology (TOIT)
Serendipitous recommendation for scholarly papers considering relations among researchers
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
SCENE: a scalable two-stage personalized news recommendation system
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
Workshop on novelty and diversity in recommender systems - DiveRS 2011
Proceedings of the fifth ACM conference on Recommender systems
Diversification and refinement in collaborative filtering recommender
Proceedings of the 20th ACM international conference on Information and knowledge management
On the complexity of package recommendation problems
PODS '12 Proceedings of the 31st symposium on Principles of Database Systems
New approaches to diversity and novelty in recommender systems
FDIA'11 Proceedings of the Fourth BCS-IRSG conference on Future Directions in Information Access
Personalized diversification of search results
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Pareto-efficient hybridization for multi-objective recommender systems
Proceedings of the sixth ACM conference on Recommender systems
A comparative study of heterogeneous item recommendations in social systems
Information Sciences: an International Journal
Time feature selection for identifying active household members
Proceedings of the 21st ACM international conference on Information and knowledge management
Measuring the coverage and redundancy of information search services on e-commerce platforms
Electronic Commerce Research and Applications
DisC diversity: result diversification based on dissimilarity and coverage
Proceedings of the VLDB Endowment
PENETRATE: Personalized news recommendation using ensemble hierarchical clustering
Expert Systems with Applications: An International Journal
News recommendation via hypergraph learning: encapsulation of user behavior and news content
Proceedings of the sixth ACM international conference on Web search and data mining
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A new collaborative filtering approach for increasing the aggregate diversity of recommender systems
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Real-time recommendation of diverse related articles
Proceedings of the 22nd international conference on World Wide Web
Exploiting the diversity of user preferences for recommendation
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Proceedings of the 7th ACM conference on Recommender systems
Personalised ranking with diversity
Proceedings of the 7th ACM conference on Recommender systems
On the complexity of query result diversification
Proceedings of the VLDB Endowment
Promoting diversity in recommendation by entropy regularizer
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Bias in algorithmic filtering and personalization
Ethics and Information Technology
Music recommendation using text analysis on song requests to radio stations
Expert Systems with Applications: An International Journal
Modeling and broadening temporal user interest in personalized news recommendation
Expert Systems with Applications: An International Journal
Who likes it more?: mining worth-recommending items from long tails by modeling relative preference
Proceedings of the 7th ACM international conference on Web search and data mining
Composite retrieval of heterogeneous web search
Proceedings of the 23rd international conference on World wide web
Multi-objective mobile app recommendation: A system-level collaboration approach
Computers and Electrical Engineering
Comparing context-aware recommender systems in terms of accuracy and diversity
User Modeling and User-Adapted Interaction
Clustering-based diversity improvement in top-N recommendation
Journal of Intelligent Information Systems
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This paper proposes a framework for Composite Alternative Recommendation Development (CARD), which supports composite product and service definitions, top-k decision optimization, and dynamic preference learning. Composite services are characterized by a set of sub-services, which, in turn, can be composite or atomic. Each atomic and composite service is associated with metrics, such as cost, duration, and enjoyment ranking. The framework is based on the Composite Recommender Knowledge Base, which is composed of views, including Service Metric Views that specify services and their metrics; Recommendation Views that specify the ranking definition to balance optimality and diversity; parametric Transformers that specify how service metrics are defined in terms of metrics of its subservices; and learning sets from which the unknown parameters in the transformers are iteratively learned. Also introduced in the paper is the top-k selection criterion that, based on a vector of utility metrics, provides the balance between the optimality of individual metrics and the diversity of recommendations. To exemplify the framework, specific views are developed for a travel package recommender system.