Web: http://arxiv.org/abs/2209.09497

Sept. 21, 2022, 1:14 a.m. | Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao, Ji Zhang

cs.CL updates on arXiv.org arxiv.org

Customer reviews usually contain much information about one's online shopping
experience. While positive reviews are beneficial to the stores, negative ones
will largely influence consumers' decision and may lead to a decline in sales.
Therefore, it is of vital importance to carefully and persuasively reply to
each negative review and minimize its disadvantageous effect. Recent studies
consider leveraging generation models to help the sellers respond. However,
this problem is not well-addressed as the reviews may contain multiple aspects
of issues …

arxiv commerce e-commerce knowledge prior responses

More from arxiv.org / cs.CL updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Research Engineer - VFX, Neural Compositing

@ Flawless | Los Angeles, California, United States

[Job-TB] Senior Data Engineer

@ CI&T | Brazil

Data Analytics Engineer

@ The Fork | Paris, France