Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Clustering-based diversity improvement in top-N recommendation
Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation
DiABlO: Optimization based design for improving diversity in recommender system
A Serendipity-Oriented Greedy Algorithm for Recommendations
Fast group recommendations by applying user clustering
Adaptive diversification of recommendation results via latent factor portfolio
Top-N Recommendation using Bi-Level Collaborative Filtering
User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items
Refining User and Item Profiles based on Multidimensional Data for Top-N Item Recommendation
Content-Boosted Collaborative Filtering for Improved Recommendations
A Social Curiosity Inspired Recommendation Model to Improve Precision, Coverage and Diversity
item - based top - n recommendation algorithms item - based top - n recommendation algorithms item - based top - n recommendation algorithms * .
Top-N Recommendation on Graphs
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance
Learning Multiple Similarities of Users and Items in Recommender Systems
A Developed Collaborative Filtering Similarity Method to Improve the Accuracy of Recommendations under Data Sparsity
Diversity in recommender systems A survey
How does serendipity affect diversity in recommender systems? A serendipity-oriented greedy algorithm
Sparse linear methods with side information for top-n recommendations
Local Latent Space Models for Top-N Recommendation
Using Content-Based Filtering for Recommendation
Detecting retinal microaneurysms and hemorrhages with robustness to the presence of blood vessels
Improving regularized singular value decomposition for collaborative filtering
Synthesis of micro and nanostructures in microfluidic systems
Image-based Co-Registration of Angiography and Intravascular Ultrasound Images
biomedical engineering based artificial neural network .