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ORCIDSudarshan Lamkhede
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2020 – today
- 2024
[c12]Moumita Bhattacharya
, Vito Ostuni, Sudarshan Lamkhede:
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn). RecSys 2024: 793-795- [c11]Swanand Joshi, Yesu Feng, Ko-Jen Hsiao, Zhe Zhang, Sudarshan Lamkhede:
Sliding Window Training - Utilizing Historical Recommender Systems Data for Foundation Models. RecSys 2024: 835-837 - [c10]Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang:
Third Workshop on Personalization and Recommendations in Search (PaRiS). SIGIR 2024: 3065-3069 - [i7]Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede:
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning. CoRR abs/2408.05353 (2024) - [i6]Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede:
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn). CoRR abs/2408.10394 (2024) - [i5]Swanand Joshi, Yesu Feng, Ko-Jen Hsiao, Zhe Zhang, Sudarshan Lamkhede:
Sliding Window Training - Utilizing Historical Recommender Systems Data for Foundation Models. CoRR abs/2409.14517 (2024) - 2023
- [c9]Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang:
Personalization and Recommendations in Search. WWW (Companion Volume) 2023: 746 - [c8]Vito Ostuni, Christoph Kofler, Manjesh Nilange, Sudarshan Lamkhede, Dan Zylberglejd:
Search Personalization at Netflix. WWW (Companion Volume) 2023: 756-758 - [c7]Sudarshan Lamkhede, Praveen Chandar, Vladan Radosavljevic, Amit Goyal, Lan Luo:
Machine Learning for Streaming Media. WWW (Companion Volume) 2023: 759 - [i4]Zijie Huang, Baolin Li, Hafez Asgharzadeh, Anne Cocos, Lingyi Liu, Evan Cox, Colby Wise, Sudarshan Lamkhede:
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks. CoRR abs/2312.04071 (2023) - 2022
- [c6]Moumita Bhattacharya, Sudarshan Lamkhede:
Augmenting Netflix Search with In-Session Adapted Recommendations. RecSys 2022: 542-545 - [i3]Moumita Bhattacharya, Sudarshan Lamkhede:
Augmenting Netflix Search with In-Session Adapted Recommendations. CoRR abs/2206.02254 (2022) - 2021
- [c5]Sudarshan Dnyaneshwar Lamkhede, Christoph Kofler:
Recommendations and Results Organization in Netflix Search. RecSys 2021: 577-579 - [i2]Sudarshan Lamkhede, Christoph Kofler:
Recommendations and Results Organization in Netflix Search. CoRR abs/2105.14134 (2021)
2010 – 2019
- 2019
- [c4]Sudarshan Lamkhede, Sudeep Das:
Challenges in Search on Streaming Services: Netflix Case Study. SIGIR 2019: 1371-1374 - [i1]Sudarshan Lamkhede, Sudeep Das:
Challenges in Search on Streaming Services: Netflix Case Study. CoRR abs/1903.04638 (2019) - 2013
- [c3]Luo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang:
A unified search federation system based on online user feedback. KDD 2013: 1195-1203
2000 – 2009
- 2009
- [c2]Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle L. Tseng:
A risk minimization framework for domain adaptation. CIKM 2009: 1347-1356 - 2005
- [c1]Rohini K. Srihari, Sudarshan Lamkhede, Anmol Bhasin:
Unapparent information revelation: a concept chain graph approach. CIKM 2005: 329-330
Coauthor Index
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