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ORCIDAsnat Greenstein-Messica
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Journal Articles
- 2022
[j5]Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira
:
Predicting drug characteristics using biomedical text embedding. BMC Bioinform. 23(1): 526 (2022)- 2020
- [j4]Asnat Greenstein-Messica, Lior Rokach:
Machine learning and operation research based method for promotion optimization of products with no price elasticity history. Electron. Commer. Res. Appl. 40: 100914 (2020) - 2018
- [j3]Asnat Greenstein-Messica, Lior Rokach:
Personal price aware multi-seller recommender system: Evidence from eBay. Knowl. Based Syst. 150: 14-26 (2018) - 2017
- [j2]Asnat Greenstein-Messica, Lior Rokach, Asaf Shabtai:
Personal-discount sensitivity prediction for mobile coupon conversion optimization. J. Assoc. Inf. Sci. Technol. 68(8): 1940-1952 (2017) - 1998
- [j1]Asnat Greenstein-Messica, Eytan Ruppin:
Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia. Neural Comput. 10(2): 451-465 (1998)
Conference and Workshop Papers
- 2023
- [c4]Sarel Duanis, Keren Gaiger, Ravid Cohen, Shaked Zychlinski, Asnat Greenstein-Messica:
Visual Representation for Capturing Creator Theme in Brand-Creator Marketplace. RecSys 2023: 1027-1030 - 2020
- [c3]Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira:
Product Bundle Identification using Semi-Supervised Learning. SIGIR 2020: 791-800 - 2018
- [c2]Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach:
A Hybrid Approach for Automatic Model Recommendation. CIKM 2018: 1623-1626 - 2017
- [c1]Asnat Greenstein-Messica, Lior Rokach, Michael Friedmann:
Session-Based Recommendations Using Item Embedding. IUI 2017: 629-633
Informal and Other Publications
- 2020
- [i2]Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Automatic Machine Learning Derived from Scholarly Big Data. CoRR abs/2003.03470 (2020) - 2019
- [i1]Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira:
New Item Consumption Prediction Using Deep Learning. CoRR abs/1905.01686 (2019)
Coauthor Index
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