Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Leveraging Affective Hashtags for Ranking Music Recommendations
Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal
On recommending hashtags in twitter networks
Analysis of the Impact of a Tag Recommendation System in a Real-World Folksonomy
Contextualize Your Listening: The Playlist as Recommendation Engine
Item popularity and recommendation accuracy
Improving Content-based and Hybrid Music Recommendation using Deep Learning
Dynamic feature generation and selection on heterogeneous graph for music recommendation
Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation
Deep ranking: Triplet MatchNet for music metric learning
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling
Bridging Music and Image via Cross-Modal Ranking Analysis
Learning to rank recommendations with the k-order statistic loss
A Human-annotated Dataset for Evaluating Tweet Ranking Algorithms
Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity
Tag-Latent Dirichlet Allocation: Understanding Hashtags and Their Relationships
Learning to rank for recommender systems
Bootstrapped Learning of Emotion Hashtags #hashtags4you
TopicMF: simultaneously exploiting ratings and reviews for recommendation
A personalized hashtag recommendation approach using LDA-based topic model in microblog environment
Smart music player integrating facial emotion recognition and music mood recommendation
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StoryFlow: Tracking the Evolution of Stories
Predicting Personality from Twitter
Design & analysis of a novel IGBT package with double-sided cooling
Crowds at Monsters University