Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation
Group Recommender Systems: Combining individual models
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
Multicriteria User Modeling in Recommender Systems
Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks
Q&R: A Two-Stage Approach toward Interactive Recommendation
Revealing and incorporating implicit communities to improve recommender systems
Joint User Knowledge and Matrix Factorization for Recommender Systems
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups
TR 03-002 Item-Based Top-N Recommendation Algorithms
Collaborative recommender systems: Combining effectiveness and efficiency
A social recommender mechanism for location-based group commerce
Content-Boosted Collaborative Filtering for Improved Recommendations
Incomplete preference relations to smooth out the cold-start in collaborative Recommender Systems
Cross-domain recommendation without shared users or items by sharing latent vector distributions
Network-based recommendation algorithms: A review
Efficient retrieval of recommendations in a matrix factorization framework
Hybrid algorithms for recommending new items
Beyond Collaborative Filtering: The List Recommendation Problem
Bayesian Probabilistic Matrix Factorization with Social Relations and Item Contents for recommendation
GroRec: A Group-Centric Intelligent Recommender System Integrating Social, Mobile and Big Data Technologies
cactus pear : a fruit of nutraceutical and functional importance .
An amazing case of fatal self-immolation
Chinese Zero Pronoun Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
appraising the " entourage effect " : antitumor action of a pure cannabinoid versus a botanical drug preparation in preclinical models of breast cancer .
content - based recommender systems : state of the art and trends .