An Ontological Content-Based Filtering for Book Recommendation
Journal Title: International Journal of the Computer, the Internet and Management - Year 2017, Vol 25, Issue 1
Abstract
In the past, an automatic book recommendation heavily relies on similarity of content and category as same as other product recommendation. From perspective of readers, contents of books are not the only factor in selection, but also readability and explanation style. This work aims to include those concepts in book recommendation by using an ontology to represent book attributes in three aspects including common, content and style detail. Similarity of the details is calculated from distance of the ontological graph to determine the likeliness of the attributes. From experimental results, the proposed system yielded precision, recall and f-measure score of 0.86, 0.97 and 0.91 respectively. Moreover, users showed that the generated recommended books matched to their interest since 88% of the recommended books were further explored.
Authors and Affiliations
Patamaporn Taophan, Phayung Meesad
Keywords
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