Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling
Tag-aware recommender systems by fusion of collaborative filtering algorithms
A Recommendation Model Based on Deep Neural Network
Experience-Aware Item Recommendation in Evolving Review Communities
NAIS: Neural Attentive Item Similarity Model for Recommendation
A Semantic-Aware Profile Updating Model for Text Recommendation
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works
Analyzing recommender systems and applying a location based approach using tagging
Neural Semantic Personalized Ranking for item cold-start recommendation
Positive-Unlabeled Demand-Aware Recommendation
Contextual Model-Based Collaborative Filtering for Recommender Systems
CLARE: a joint approach to label classification and tag recommendation
TopicMF: simultaneously exploiting ratings and reviews for recommendation
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
ConTagNet: Exploiting User Context for Image Tag Recommendation
Recommendation Engine Using Topic Modeling and Semantic Similarity
Adversarial Personalized Ranking for Recommendation
News personalization using the CF-IDF semantic recommender
Deep Item-based Collaborative Filtering for Top-N Recommendation
Bayesian probabilistic model for context-aware recommendations
Detection of single and collaborative black hole attack in MANET
Brain mechanisms of pain affect and pain modulation
analysis of recommendation algorithms for e - commerce .
The Predictive Validity of Ideal Partner Preferences: A Review and Meta-Analysis
Frontal Fibrosing Alopecia-A Case Report