Rahul Agrawal


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Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages
Rahul Agrawal | Archit Gupta | Yashoteja Prabhu | Manik Varma
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013


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A Preference Approach to Reputation in Sponsored Search
Aritra Ghosh | Dinesh Gaurav | Rahul Agrawal
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016


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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu | Anil Kag | Shrutendra Harsola | Rahul Agrawal | Manik Varma
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

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Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
Yashoteja Prabhu | Anil Kag | Shilpa Gopinath | Kunal Dahiya | Shrutendra Harsola | Rahul Agrawal | Manik Varma
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018


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P-Simrank: Extending Simrank to Scale-Free Bipartite Networks
Prasenjit Dey | Kunal Goel | Rahul Agrawal
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

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Graph Regularization for Multi-lingual Topic Models
Arnav Kumar Jain | Gundeep Arora | Rahul Agrawal
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020