Bibek Paudel

According to our database, Bibek Paudel authored at least 16 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures.

Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev

Big Data Res., 2021

Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks.

Bibek Paudel, Abraham Bernstein

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Automatic Bias Detection in Knowledge Graphs.

Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records.

Leopold Franz, Yash Raj Shrestha, Bibek Paudel

CoRR, 2020

Adversarial Learning for Debiasing Knowledge Graph Embeddings.

Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

CoRR, 2020

2019

Cross-Cutting Political Awareness through Diverse News Recommendations.

Bibek Paudel, Abraham Bernstein

CoRR, 2019

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.

Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen

Proceedings of the World Wide Web Conference, 2019

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs.

Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Exploring a standardized language for describing foods using embedding techniques.

Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Mix and Rank: A Framework for Benchmarking Recommender Systems.

Bibek Paudel, Dragi Kocev, Tome Eftimov

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality.

Bibek Paudel, Sandro Luck, Abraham Bernstein

CoRR, 2018

Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning.

Matthias Baumgartner, Wen Zhang, Bibek Paudel, Daniele Dell'Aglio, Huajun Chen, Abraham Bernstein

Proceedings of the Semantic Web - ISWC 2018, 2018

2017

Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications.

Bibek Paudel, Fabian Christoffel, Chris Newell, Abraham Bernstein

ACM Trans. Interact. Intell. Syst., 2017

Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering.

Bibek Paudel, Thilo Haas, Abraham Bernstein

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2015

Random Walk TripleRush: Asynchronous Graph Querying and Sampling.

Philip Stutz, Bibek Paudel, Mihaela Verman, Abraham Bernstein

Proceedings of the 24th International Conference on World Wide Web, 2015

Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks.

Fabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein

Proceedings of the 9th ACM Conference on Recommender Systems, 2015