Sarvjeet Singh
Sarvjeet Singh is a Principal Engineer and Director of Engineering at Google. With over 15 years of experience, he is a leader in AI and applied AI research. His work has shaped products across Google, including Ads (where he pioneered Target CPA and ECPC bidding solutions), YouTube, and Google's recommendation systems. Currently, Sarvjeet focuses on enhancing user agency in AI systems.
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Data Bootstrapping for Interactive Recommender Systems
Ajay Joshi
Ajit Apte
Anand Kesari
Anushya Subbiah
Dima Kuzmin
John Anderson
Li Zhang
Marty Zinkevich
The 2nd International Workshop on Online and Adaptive Recommender Systems (2022)
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
Ajit Apte
Ambarish Jash
Amol H Wankhede
Ankit Kumar
Ayooluwakunmi Jeje
Dima Kuzmin
Ellie Ka In Chio
Harry Fung
Jon Effrat
Nitin Jindal
Pei Cao
Senqiang Zhou
Sukhdeep S. Sodhi
Tameen Khan
Tarush Bali
KDD (2021)
Zero-Shot Transfer Learning for Query-Item Cold Start in Search Retrieval and Recommendations
Ankit Kumar
Cosmo Du
Dima Kuzmin
Ellie Chio
John Roberts Anderson
Li Zhang
Nitin Jindal
Pei Cao
Ritesh Agarwal
Tao Wu
Wen Li
CIKM (2020)
Video WatchTime and Comment Sentiment: Experience from YouTube
Bo Fu
Pei Cao
Rong Yang
Proceedings of the Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (2016)
Threshold query optimization for uncertain data
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Yinian Qi
Rohit Jain
Sunil Prabhakar
Special Interest Group on Management of Data (SIGMOD) (2010)
