A survey of book recommender systems

The act of reading has benefits for individuals and societies, yet studies show that reading declines, especially among the young. Recommender systems can help stop such decline. We present a survey of recommender systems in the domain of books. We have categorized the systems into six classes, and...

Full description

Saved in:
Bibliographic Details
Published in:Journal of intelligent information systems 2018-08, Vol.51 (1), p.139-160
Main Authors: Alharthi, Haifa, Inkpen, Diana, Szpakowicz, Stan
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Science
Data Structures and Information Theory
Information Storage and Retrieval
IT in Business
Natural Language Processing (NLP)
Psychology
Recommender systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The act of reading has benefits for individuals and societies, yet studies show that reading declines, especially among the young. Recommender systems can help stop such decline. We present a survey of recommender systems in the domain of books. We have categorized the systems into six classes, and highlighted the main trends, issues, evaluation approaches and datasets. Other research areas, such as psychology, are consulted to understand users’ books choices and reading models.
ISSN:0925-9902
1573-7675
DOI:10.1007/s10844-017-0489-9