| Learning the click-through rate for rare/new ads from similar ads KS Dave, V Varma Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 93 | 2010 |
| Deepxml: A deep extreme multi-label learning framework applied to short text documents K Dahiya, D Saini, A Mittal, A Shaw, K Dave, A Soni, H Jain, S Agarwal, ... Proceedings of the 14th ACM international conference on web search and data …, 2021 | 91 | 2021 |
| GalaXC: Graph neural networks with labelwise attention for extreme classification D Saini, AK Jain, K Dave, J Jiao, A Singh, R Zhang, M Varma Proceedings of the Web Conference 2021, 3733-3744, 2021 | 49 | 2021 |
| Computational advertising: Techniques for targeting relevant ads K Dave, V Varma Foundations and Trends® in Information Retrieval 8 (4–5), 263-418, 2014 | 49 | 2014 |
| Pattern based keyword extraction for contextual advertising KS Dave, V Varma Proceedings of the 19th ACM international conference on Information and …, 2010 | 35 | 2010 |
| Modelling action cascades in social networks K Dave, R Bhatt, V Varma Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011 | 29 | 2011 |
| Ngame: Negative mining-aware mini-batching for extreme classification K Dahiya, N Gupta, D Saini, A Soni, Y Wang, K Dave, J Jiao, G K, P Dey, ... Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 26 | 2023 |
| Timespent based models for predicting user retention KS Dave, V Vaingankar, S Kolar, V Varma Proceedings of the 22nd international conference on World Wide Web, 331-342, 2013 | 20 | 2013 |
| Identifying influencers in social networks K Dave, R Bhatt, V Varma Proceedings of the 5th International Conference on Weblogs and Social Media, 1-9, 2011 | 13 | 2011 |
| Computational advertising: Leveraging user interaction & contextual factors for improved ad retrieval & ranking KS Dave Proceedings of the 20th international conference companion on World wide web …, 2011 | 10 | 2011 |
| Computational advertising: Leveraging user interaction & contextual factors for improved ad relevance & targeting KS Dave Proceedings of the fifth acm international conference on web search and data …, 2012 | 6 | 2012 |
| Identifying microblogs for targeted contextual advertising K Dave, V Varma Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012 | 6 | 2012 |
| Leveraging latent concepts for retrieving relevant ads for short text A Patil, K Dave, V Varma Advances in Information Retrieval: 35th European Conference on IR Research …, 2013 | 5 | 2013 |
| Deepxml: Scalable & accurate deep extreme classification for matching user queries to advertiser bid phrases K Dahiya, A Mittal, D Saini, K Dave, H Jain, S Agarwal, M Varma | 3 | 2019 |
| Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval R Valluri, AK Mohankumar, K Dave, A Singh, J Jiao, M Varma, G Sinha arXiv preprint arXiv:2406.06739, 2024 | 1 | 2024 |
| A Comparative Study on Industry Wise Stock Performance of companies Listed in New York Stock Exchange and National Stock Exchange. S Agarwal, K Dave Pacific Business Review International 14 (8), 2022 | 1 | 2022 |
| Extreme classification processing using graphs and neural networks K Dave, D Saini, AK Jain, J Jiao, AKR Singh, R Zhang, M Varma US Patent App. 18/278,361, 2024 | | 2024 |
| Towards Contextual Advertising on Microblogs K Dave, V Varma | | 2012 |
| IIIT Hyderabad at Million Query Track TREC 2009 P Ullegaddi, S Datta, V Pande, KS Dave, V Varma TREC, 2009 | | 2009 |
| What You See Is What You Get: Entity-Aware Summarization for Reliable Sponsored Search X Liang, X Hu, S Zuo, J He, Y Wang, VY Dong, Y Gong, KS Dave, Y Liu, ... Neurips Safe Generative AI Workshop 2024, 0 | | |
