Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Moving beyond linearity and independence in top-N recommender systems
Performance of recommender algorithms on top-n recommendation tasks
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
MovieLens unplugged: experiences with an occasionally connected recommender system
Multiple objective optimization in recommender systems
Beyond rating prediction accuracy: on new perspectives in recommender systems
Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder.
Recommender systems based on user reviews: the state of the art
Assessing the Quality and Stability of Recommender Systems
Deep hybrid recommender systems via exploiting document context and statistics of items
Clustering-based diversity improvement in top-N recommendation
Incomplete preference relations to smooth out the cold-start in collaborative Recommender Systems
Top-N Recommendation using Bi-Level Collaborative Filtering
Evaluating recommender systems from the user’s perspective: survey of the state of the art
Reranking-based Recommender System with Deep Learning
Improving top-N recommendation with heterogeneous loss
FISM: factored item similarity models for top-N recommender systems
Exploiting the web of data in model-based recommender systems
Algorithms and Methods in Recommender Systems
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation
A Recommender System using Principal Component Analysis
Cold Stress Tolerance of Listeria monocytogenes: A Review of Molecular Adaptive Mechanisms and Food Safety Implications
Towards Viable Intrusion Detection Methods For The Automotive Controller Area Network
Learning to rank using gradient descent
Memory for Music in Alzheimer’s Disease: Unforgettable?
Incidence of myiasis among humans—a review