Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Workshop on novelty and diversity in recommender systems - DiveRS 2011
Avoiding monotony: improving the diversity of recommendation lists
Recommender systems: from algorithms to user experience
Evaluating recommender systems from the user’s perspective: survey of the state of the art
Accurate and Novel Recommendations: An Algorithm Based on Popularity Forecasting
Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems
Introducing Serendipity in a Content-Based Recommender System
Recommender systems survey
RecMax: exploiting recommender systems for fun and profit
Mobile recommender systems: Identifying the major concepts
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS)
A Connection-Centric Survey of Recommender Systems Research
Recommender systems and their impact on sales diversity
Multiple objective optimization in recommender systems
Two Decades of Recommender Systems at Amazon.com
Exploring the Filter Bubble : The Effect of Using Recommender Systems on Content Diversity
Performance of recommender algorithms on top-n recommendation tasks
Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works
A unified approach to building hybrid recommender systems
Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems
The state-of-the-art in personalized recommender systems for social networking
[POSTER] Prevention of Visually Induced Motion Sickness Based on Dynamic Real-Time Content-Aware Non-salient Area Blurring
Inverse model based adaptive control of magnetic levitation system
System effectiveness, user models, and user utility: a conceptual framework for investigation
Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis
Low overhead, DC-Balanced and run length limited Line Coding