Utilizing Review Summarization in a Spoken Recommendation System
In this paper we present a framework for spoken recommendation systems. To provide reliable recommendations to users, we incorporate a review summarization technique which extracts informative opinion summaries from grass-roots users‘ reviews. The dialogue system then utilizes these review summ...
Main Authors: | Liu, Jingjing, Seneff, Stephanie, Zue, Victor |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for Computational Linguistics
2011
|
Online Access: | http://hdl.handle.net/1721.1/62198 https://orcid.org/0000-0003-2602-0862 https://orcid.org/0000-0001-8191-1049 |
Similar Items
-
Dialogue-Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
by: Liu, Jingjing, et al.
Published: (2011) -
A Joint Summarization and Pre-Trained Model for Review-Based Recommendation
by: Yi Bai, et al.
Published: (2021-05-01) -
Product review summarization
by: Chng, Charlotte
Published: (2021) -
Summarizing user-item matrix by group utility maximization
by: Wang, Yongjie, et al.
Published: (2023) -
Autocomplete recommendation plugin and Summarizing Text using Natural Language Processing
by: Aryaan Shaikh, et al.
Published: (2023-12-01)