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Jay Katukuri
Jay Katukuri
Senior Research Engineering Manager, Apple
Verified email at apple.com
Title
Cited by
Cited by
Year
Semantic relationship extraction, text categorization and hypothesis generation
JR Katukuri, VV Raghavan, Y Xie
US Patent 8,494,987, 2013
842013
Big data analytics: Methods and applications
S Pyne, BLSP Rao, SB Rao
Springer, 2016
612016
Massive data analysis: tasks, tools, applications, and challenges
MK Pusala, M Amini Salehi, JR Katukuri, Y Xie, V Raghavan
Big Data analytics: methods and applications, 11-40, 2016
452016
Large-scale recommendations for a dynamic inventory
J Katukuri, R Mukherjee, T Konik, S Kolay
US Patent 10,489,842, 2019
442019
Recommending similar items in large-scale online marketplaces
J Katukuri, T Könik, R Mukherjee, S Kolay
2014 IEEE International Conference on Big Data (Big Data), 868-876, 2014
272014
Hypotheses generation as supervised link discovery with automated class labeling on large-scale biomedical concept networks
JR Katukuri, Y Xie, VV Raghavan, A Gupta
BMC genomics 13, 1-13, 2012
262012
Epurchase model
VC Dalal, J Chen, V Sundaranatha, J Ladd, J Katukuri, AU Mallya, ...
US Patent App. 13/030,026, 2012
182012
Dynamic modifications of results for search interfaces
SN Solanki, J Katukuri, MH Somaiya, R Mukherjee, R Setty
US Patent 10,489,407, 2019
112019
Personalizing alternative recommendations using search context
T Konik, R Mukherjee, J Katukuri
US Patent 10,325,304, 2019
112019
Large-scale recommendations in a dynamic marketplace
J Katukuri, R Mukherjee, T Konik, T Konik
Workshop on large scale recommendation systems at RecSys 13, 2013
102013
Automatically mining result records from search engine response pages
D Mundluru, JR Katukuri, S Celebi
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
102005
Conceptual biology research supporting platform: Current design and future directions
Y Xie, J Katukuri, VV Raghavan, T Presti
Applications of Computational Intelligence in Biology: Current Trends and …, 2008
82008
Capturing concepts and detecting concept-drift from potential unbounded, ever-evolving and high-dimensional data streams
Y Xie, A Ravichandran, H Haddad, K Jayasimha
Data Mining: Foundations and Practice, 485-499, 2008
72008
Personalized media presentation templates
C Venkataraman, TG Carrigan, T Alsina, V Sundaranatha, JR Katukuri, ...
US Patent 10,664,520, 2020
52020
Biomedical relationship extraction from literature based on bio-semantic token subsequences
JR Katukuri, Y Xie, VV Raghavan
International Journal of Functional Informatics and Personalised Medicine 3 …, 2010
52010
Post-purchase recommendations in large-scale online marketplaces
J Katukuri, T Konik, R Mukherjee, S Kolay
2015 IEEE International Conference on Big Data (Big Data), 1299-1305, 2015
42015
Alternative recommendations using search context
T Konik, R Mukherjee, J Katukuri
US Patent App. 16/375,380, 2019
32019
Automatically Mining Search Result Records
D Mundluru, Z Wu, V Raghavan, J Katukuri, S Celebi
Data Mining, 2005
32005
Subjective similarity: Personalizing alternative item recommendations
T Könik, R Mukherjee, J Katukuri
Proceedings of the 24th International Conference on World Wide Web, 1275-1279, 2015
22015
Techniques for personalizing app store recommendations
JR Katukuri, P Leong, C Venkataraman, RS Chakraborty, V Hardik
US Patent 11,853,306, 2023
12023
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