Mohit Sharma

Affiliations:
  • Google
  • University of Minnesota, USA (former)


According to our database1, Mohit Sharma authored at least 13 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Surrogate for Long-Term User Experience in Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Values of User Exploration in Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2nd International Workshop on Industrial Recommendation Systems (IRS).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Distant-Supervised Slot-Filling for E-Commerce Queries.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019
Learning from Sets of Items in Recommender Systems.
ACM Trans. Interact. Intell. Syst., 2019

Intent term selection and refinement in e-commerce queries.
CoRR, 2019

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.
CoRR, 2019

Adaptive matrix completion for the users and the items in tail.
Proceedings of the World Wide Web Conference, 2019

Intent Term Weighting in E-commerce Queries.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Mining E-Commerce Query Relations using Customer Interaction Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Taxonomy of Queries for E-commerce Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Scalability and Distribution of Collaborative Recommenders.
Proceedings of the Collaborative Recommendations, 2018

2015
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-<i>n</i> Item Recommendation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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