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Identifying Shopping Intent in Product QA for Proactive Recommendations

Identifying Shopping Intent in Product QA for Proactive Recommendations

B. Fetahu
Nachshon Cohen
Elad Haramaty
L. Lewin-Eytan
Oleg Rokhlenko
S. Malmasi
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Papers citing "Identifying Shopping Intent in Product QA for Proactive Recommendations"

5 / 5 papers shown
Title
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
Abhilasha Ravichander
Siddharth Dalmia
Maria Ryskina
Florian Metze
Eduard H. Hovy
A. Black
ELM
38
32
0
16 Feb 2021
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Wenjing Meng
Deqing Yang
Yanghua Xiao
28
108
0
12 Jun 2020
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
Ali Ahmadvand
Surya Kallumadi
F. Javed
Eugene Agichtein
12
13
0
28 May 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
336
24,160
0
26 Jul 2019
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Lei Zheng
Vahid Noroozi
Philip S. Yu
HAI
60
998
0
17 Jan 2017

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