Synthesizing aspect-driven recommendation explanations from reviews

Synthesizing aspect-driven recommendation explanations from reviews

Explanations help to make sense of recommendations, increasing the likelihood of adoption. However, existing approaches to explainable recommendations tend to rely on rigid, standardized templates, customized only via fill-in-the-blank aspect sentiments. For more flexible, literate, and varied expla...

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Bibliographic Details
Main Authors: LE, Trung-Hoang, LAUW, Hady W.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Contextualize
Product categories
Text generations
Via fill
Databases and Information Systems
Data Science
Online Access:https://ink.library.smu.edu.sg/sis_research/5954
https://ink.library.smu.edu.sg/context/sis_research/article/6957/viewcontent/0336.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5954
https://ink.library.smu.edu.sg/context/sis_research/article/6957/viewcontent/0336.pdf

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