( en | de | ru )

 

Disambiguation of "Paudel, Bibek"

Author of the publication

copydeleteadd this publication to your clipboard
Exploring a standardized language for describing foods using embedding techniques.

, , , and . IEEE BigData, page 5172-5176. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bibek Sengupta

Deepak Paudel

Sanjaya Paudel

Hari Paudel

Lok Nath Paudel

 

Other publications of authors with the same name

Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning., , , , , and . ISWC (1), volume 11136 of Lecture Notes in Computer Science, page 21-37. Springer, (2018)Exploring a standardized language for describing foods using embedding techniques., , , and . IEEE BigData, page 5172-5176. IEEE, (2019)Mix and Rank: A Framework for Benchmarking Recommender Systems., , and . IEEE BigData, page 3717-3726. IEEE, (2019)Random Walk TripleRush: Asynchronous Graph Querying and Sampling., , , and . WWW, page 1034-1044. ACM, (2015)Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering., , and . RecSys, page 215-223. ACM, (2017)Interaction Embeddings for Prediction and Explanation in Knowledge Graphs., , , , and . WSDM, page 96-104. ACM, (2019)Towards Automatic Bias Detection in Knowledge Graphs., , , , and . EMNLP (Findings), page 3804-3811. Association for Computational Linguistics, (2021)Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks., and . WWW, page 2046-2057. ACM / IW3C2, (2021)Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks., , , and . RecSys, page 163-170. ACM, (2015)A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures., , , and . Big Data Res., (2021)