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ORCIDMahashweta Das
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- affiliation: Hewlett Packard Enterprise Labs, Palo Alto, CA, USA
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2020 – today
- 2021
[c11]Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang:
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM 2021: 914-917- 2020
- [c10]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020: 1081-1090 - [i5]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR abs/2005.10473 (2020)
2010 – 2019
- 2019
- [c9]Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. IEEE BigData 2019: 1052-1059 - [i4]Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. CoRR abs/1908.08227 (2019) - 2018
- [r1]Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu:
Structure Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [j6]Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das:
AD-WIRE: Add-on for Web Item Reviewing System. Proc. VLDB Endow. 9(13): 1593-1596 (2016) - [c8]Mahashweta Das, Alkis Simitsis, Kevin Wilkinson:
A hybrid solution for mixed workloads on dynamic graphs. GRADES 2016: 1 - [i3]Azade Nazi, Mahashweta Das, Gautam Das:
Web Item Reviewing Made Easy By Leveraging Available User Feedback. CoRR abs/1602.06454 (2016) - 2015
- [j5]Mahashweta Das, Gautam Das:
Structured Analytics in Social Media. Proc. VLDB Endow. 8(12): 2046-2047 (2015) - [c7]Azade Nazi, Mahashweta Das, Gautam Das:
The TagAdvisor: Luring the Lurkers to Review Web Items. SIGMOD Conference 2015: 531-543 - 2014
- [j4]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23(2): 201-226 (2014) - 2013
- [c6]Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis:
Generating informative snippet to maximize item visibility. CIKM 2013: 1721-1726 - [c5]Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber:
Learning to question: leveraging user preferences for shopping advice. KDD 2013: 203-211 - [c4]Mahashweta Das:
Exploratory mining of collaborative social content. SIGMOD/PODS Ph.D. Symposium 2013: 37-42 - [i2]Mahashweta Das, Gautam Das, Vagelis Hristidis:
Top-K Product Design Based on Collaborative Tagging Data. CoRR abs/1304.0419 (2013) - 2012
- [j3]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. Proc. VLDB Endow. 5(11): 1567-1578 (2012) - [j2]Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. 5(12): 1986-1989 (2012) - [i1]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. CoRR abs/1208.0285 (2012) - 2011
- [j1]Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MRI: Meaningful Interpretations of Collaborative Ratings. Proc. VLDB Endow. 4(11): 1063-1074 (2011) - [c3]Mahashweta Das, Gautam Das, Vagelis Hristidis:
Leveraging collaborative tagging for web item design. KDD 2011: 538-546 - [c2]Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan:
Fast Rule Mining Over Multi-Dimensional Windows. SDM 2011: 582-593
2000 – 2009
- 2009
- [c1]Mahashweta Das, Srinivasan Parthasarathy:
Anomaly detection and spatio-temporal analysis of global climate system. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 142-150
Coauthor Index
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