Abstract:
An automatic book recommendation with the use of similarity of content and category with ontology in providing recommend to the style of the book has not been considered. This work presents to include those concepts in book recommendation by using an ontology to represent book attributes in three aspects including common detail, content and book style. Similarity of the details is calculated from distance of the ontological graph to determine the likeliness of the attributes. The calculation of the similar item from Semantic Similarity and String Similarity is used to calculate a similarity of given data type. This work applies a Longest Common Subsequence from the first string : NMLCS) to determine similarity. on each aspects. From Research 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 87.47% of the recommended books were further explored.