Bibek Paudel

Bibek Paudel
Research Staff
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.D.29
Email paudel@ifi.uzh.ch

Research Interests

Recommender Systems, Social Networks, Knowledge Graphs, Machine Learning.

Publications

My publications listed in Merlin, Google Scholar.


  • Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, and Huajun Chen. Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. 2019. The Web Conference 2019, formerly known as the International Conference on World Wide Web (WWW 2019) San Francisco, USA 2019-05-13. International World Wide Web Conference Committee (IW3C2).
  • Bibek Paudel, Sandro Luck, and Abraham Bernstein. Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. 2019. First International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA 2019) at WSDM 2019, Melbourne, Australia 2019-02-11.
  • Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, and Huajun Chen. Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. 2019. International Conference on Web Search and Data Mining (WSDM 2019) Melbourne, Australia 2019-02-11. Association of Computing Machinery (ACM). [pdf] [bibtex] [merlin]
  • Bibek Paudel, Suzanne Tolmeijer, and Abraham Bernstein. Bringing Diversity in News Recommender Algorithms. 2018. ECREA 2018 - pre-conference workshop on Information, Diversity and Media Pluralism in the Age of Algorithms, Lugano, Switzerland 2018-10-31. [pdf] [bibtex] [merlin]
  • Matthias Baumgartner*, Wen Zhang*, Bibek Paudel* (equal contribution), Daniele Dell'Aglio, Huajun Chen, and Abraham Bernstein. Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning. 2018. International Semantic Web Conference (ISWC 2018) Monterey 2018-10-08. Cham Springer. [pdf] [bibtex] [merlin]
  • Bibek Paudel, Thilo Haas, and Abraham Bernstein. Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering. 2017. 11th ACM Conference on Recommender Systems (RecSys 2017) Como, Italy 2017-08-27. ACM Press. [pdf] [bibtex] [merlin]
  • Bibek Paudel, Fabian Christoffel, Chris Newell, and Abraham Bernstein. Updatable, accurate, diverse, and scalable recommendations for interactive applications. 2016. ACM Transactions on Interactive Intelligent Systems (TIIS) vol. 7. Association for Computing Machinery. [pdf] [bibtex] [merlin]
  • Philip Stutz, Bibek Paudel, Mihaela Verman, and Abraham Bernstein. Random-walk triplerush: asynchronous graph querying and sampling. 2015. 24th International World Wide Web Conference (WWW 2015) Florence, Italy 2015-05-18. International World Wide Web Conferences Steering Committee (IW3C2). [pdf] [bibtex] [merlin]
  • Fabian Christoffel, Bibek Paudel, Chris Newell, and Abraham Bernstein. Blockbusters and Wallflowers: Speeding up Diverse and Accurate Recommendations with Random Walks. 2015. 9th ACM Conference on Recommender Systems (RecSys 2015) Vienna 2015-09-16. ACM Press. [pdf] [bibtex] [merlin]