Sudarshan Lamkhede

According to our database, Sudarshan Lamkhede authored at least 14 papers between 2005 and 2024.

Collaborative distances:

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

2024

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning.

Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede

CoRR, 2024

Third Workshop on Personalization and Recommendations in Search (PaRiS).

Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sliding Window Training - Utilizing Historical Recommender Systems Data for Foundation Models.

Swanand Joshi, Yesu Feng, Ko-Jen Hsiao, Zhe Zhang, Sudarshan Lamkhede

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn).

Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks.

Zijie Huang, Baolin Li, Hafez Asgharzadeh, Anne Cocos, Lingyi Liu, Evan Cox, Colby Wise, Sudarshan Lamkhede

CoRR, 2023

Search Personalization at Netflix.

Vito Ostuni, Christoph Kofler, Manjesh Nilange, Sudarshan Lamkhede, Dan Zylberglejd

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Personalization and Recommendations in Search.

Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Machine Learning for Streaming Media.

Sudarshan Lamkhede, Praveen Chandar, Vladan Radosavljevic, Amit Goyal, Lan Luo

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Augmenting Netflix Search with In-Session Adapted Recommendations.

Moumita Bhattacharya, Sudarshan Lamkhede

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Recommendations and Results Organization in Netflix Search.

Sudarshan Dnyaneshwar Lamkhede, Christoph Kofler

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

2019

Challenges in Search on Streaming Services: Netflix Case Study.

Sudarshan Lamkhede, Sudeep Das

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2013

A unified search federation system based on online user feedback.

Luo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2009

A risk minimization framework for domain adaptation.

Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle L. Tseng

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2005

Unapparent information revelation: a concept chain graph approach.

Rohini K. Srihari, Sudarshan Lamkhede, Anmol Bhasin

Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005