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Chaoji, Vineet
29  Ergebnisse:
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1

Scaling Use-case Based Shopping using LLMs:

, In: Proceedings of the 17th ACM International Conference on Web Search and Data Mining,
Farfade, Sachin ; Vernekar, Sachin ; Chaoji, Vineet. - p. 1165-1166 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Modelling Delayed Redemption with Importance Sampling and P..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Datta, Samik ; Mourya, Anshuman ; Majumder, Anirban. - p. 3926-3936 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

ASPIRE : Air Shipping Recommendation for E-commerce Prod..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Mondal, Abhirup ; Majumder, Anirban ; Chaoji, Vineet - p. 3584-3592 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

MEMENTO: Neural Model for Estimating Individual Treatment E..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Mondal, Abhirup ; Majumder, Anirban ; Chaoji, Vineet - p. 3381-3390 , 2022
Link: https://dl.acm.org/doi/1..
 
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5

Spatio-Temporal Multi-graph Networks for Demand Forecasting..:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; Lecture Notes in Computer Science,
Gandhi, Ankit ; Aakanksha ; Kaveri, Sivaramakrishnan. - p. 187-203 , 2021
Link: https://doi.org/10.1007/..
 
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6

Think Out of the Package: Recommending Package Types for E-..:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track; Lecture Notes in Computer Science,
Gurumoorthy, Karthik S. ; Sanyal, Subhajit ; Chaoji, Vineet - p. 290-305 , 2021
Link: https://doi.org/10.1007/..
 
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7

Detection of Review Abuse via Semi-Supervised Binary Multi-..:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Yelundur, Anil R. ; Chaoji, Vineet ; Mishra, Bamdev - p. 2134-2144 , 2019
Link: https://dl.acm.org/doi/1..
 
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8

Handling Confounding for Realistic Off-Policy Evaluation:

, In: Companion Proceedings of the The Web Conference 2018,
Sohoney, Saurabh ; Prabhu, Nikita ; Chaoji, Vineet - p. 33-34 , 2018
Link: https://dl.acm.org/doi/1..
 
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9

Machine learning in the real world:

Chaoji, Vineet ; Rastogi, Rajeev ; Roy, Gourav
Proceedings of the VLDB Endowment.  9 (2016)  13 - p. 1597-1600 , 2016
Link: https://doi.org/10.14778..
 
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10

Machine learning in the real world:

Chaoji, Vineet ; Rastogi, Rajeev ; Roy, Gourav
Proceedings of the VLDB Endowment.  9 (2016)  13 - p. 1597-1600 , 2016
Link: https://dl.acm.org/doi/1..
 
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11

Community detection in content-sharing social networks:

, In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining,
Natarajan, Nagarajan ; Sen, Prithviraj ; Chaoji, Vineet - p. 82-89 , 2013
Link: https://dl.acm.org/doi/1..
 
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12

Recommendations to boost content spread in social networks:

, In: Proceedings of the 21st international conference on World Wide Web,
Chaoji, Vineet ; Ranu, Sayan ; Rastogi, Rajeev. - p. 529-538 , 2012
Link: https://dl.acm.org/doi/1..
 
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13

GRAIL: a scalable index for reachability queries in very la..:

Yıldırım, Hilmi ; Chaoji, Vineet ; Zaki, Mohammed J.
The VLDB Journal.  21 (2011)  4 - p. 509-534 , 2011
Link: https://doi.org/10.1007/..
 
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14

GRAIL : scalable reachability index for large graphs:

Yildirim, Hilmi ; Chaoji, Vineet ; Zaki, Mohammed J.
Proceedings of the VLDB Endowment.  3 (2010)  1-2 - p. 276-284 , 2010
Link: https://dl.acm.org/doi/1..
 
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15

Predicting product adoption in large-scale social networks:

, In: Proceedings of the 19th ACM international conference on Information and knowledge management,
Bhatt, Rushi ; Chaoji, Vineet ; Parekh, Rajesh - p. 1039-1048 , 2010
Link: https://dl.acm.org/doi/1..
 
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