Bibek Paudel

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 20

Top Topics

Prior Domain Knowledge

Recommender Systems

Top Venues

Publications

Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel
Towards Automatic Bias Detection in Knowledge Graphs. EMNLP (Findings) (2021)
Bibek Paudel, Abraham Bernstein
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. CoRR (2021)
Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. Big Data Res. 25 (2021)
Bibek Paudel, Abraham Bernstein
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. WWW (2021)
Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel
Towards Automatic Bias Detection in Knowledge Graphs. CoRR (2021)
Leopold Franz, Yash Raj Shrestha, Bibek Paudel
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records. CoRR (2020)
Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel
Adversarial Learning for Debiasing Knowledge Graph Embeddings. CoRR (2020)
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. WSDM (2019)
Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic-Seljak
Exploring a standardized language for describing foods using embedding techniques. IEEE BigData (2019)
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. CoRR (2019)
Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. CoRR (2019)
Bibek Paudel, Abraham Bernstein
Cross-Cutting Political Awareness through Diverse News Recommendations. CoRR (2019)
Bibek Paudel, Dragi Kocev, Tome Eftimov
Mix and Rank: A Framework for Benchmarking Recommender Systems. IEEE BigData (2019)
Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. WWW (2019)
Matthias Baumgartner, Wen Zhang, Bibek Paudel, Daniele Dell'Aglio, Huajun Chen, Abraham Bernstein
Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning. ISWC (1) (2018)
Bibek Paudel, Sandro Luck, Abraham Bernstein
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. CoRR (2018)
Bibek Paudel, Fabian Christoffel, Chris Newell, Abraham Bernstein
Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications. ACM Trans. Interact. Intell. Syst. 7 (1) (2017)
Bibek Paudel, Thilo Haas, Abraham Bernstein
Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering. RecSys (2017)
Philip Stutz, Bibek Paudel, Mihaela Verman, Abraham Bernstein
Random Walk TripleRush: Asynchronous Graph Querying and Sampling. WWW (2015)
Fabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein
Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks. RecSys (2015)