150 citations · 192 across the 3 of their papers we have counts for
5 papers
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
Bibek Paudel, Abraham Bernstein
Most existing personalization systems promote items that match a user's previous choices or those that are popular among similar users. This results in recommendations that are hig…
Cross-Cutting Political Awareness through Diverse News Recommendations
Bibek Paudel, Abraham Bernstein
The suggestions generated by most existing recommender systems are known to suffer from a lack of diversity, and other issues like popularity bias. As a result, they have been obse…
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Wen Zhang, Bibek Paudel, Liang Wang +5
Reasoning is essential for the development of large knowledge graphs, especially for completion, which aims to infer new triples based on existing ones. Both rules and embeddings c…
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Wen Zhang, Bibek Paudel, Wei Zhang +2
Knowledge graph embedding aims to learn distributed representations for entities and relations, and is proven to be effective in many applications. Crossover interactions --- bi-di…
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality
Bibek Paudel, Sandro Luck, Abraham Bernstein
Negative user preference is an important context that is not sufficiently utilized by many existing recommender systems. This context is especially useful in scenarios where the co…