A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at...

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Bibliographic Details
Authors: Hernández-Rubio, María, Cantador Gutiérrez, Iván, Bellogin Kouki, Alejandro
Format: article
Publication Date:2019
Country:España
Institution:Universidad Autónoma de Madrid
Repository:Biblos-e Archivo. Repositorio Institucional de la UAM
Language:English
OAI Identifier:oai:repositorio.uam.es:10486/692307
Online Access:http://hdl.handle.net/10486/692307
https://dx.doi.org/10.1007/s11257-018-9214-9
Access Level:Open access
Keyword:Recommender Systems
Aspect-based recommendation
Sentiment analysis
Opinion mining
Aspect extraction
User reviews
Informática
Description
Summary:This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11257-018-9214-9

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