ACADSTAFF UGM
| Title | : | Book Recommender System Using Genetic Algorithm and Association Rule Mining |
| Author | : |
HANI FEBRI MUSTIKA (1) Aina Musdholifah, S.Kom., M.Kom. Ph.D (2) |
| Date | : | 0 2019 |
| Keyword | : | Recommender System,Genetic Algorithm,Association Rule,Optimization Recommender System,Genetic Algorithm,Association Rule,Optimization |
| Abstract | : | Recommender system aims to provide on something that likely most suitable and attractive for users. Many researches on the book recommender system for library have already been done. One of them used association rule mining. However, the system was not optimal in providing recommendations that appropriate to the user's preferences and achieving the goal of recommender system. In order that, this research proposed a book recommender system for the library that optimizes association rule mining using genetic algorithm to handle the previous problem. Data used in this research has taken from Yogyakarta City Library during 2015 until 2016. The experimental results of the association rule mining (Apriori Algorithm) study show that 0.01 for the greatest value of minimum support and 0.4359 for the average confidence value due to a lot of data and uneven distribution of data. Furthermore, other results are 0.499471 for the average of Laplace value, 30.7527 for the average of lift value and 1.91534252 for the average of conviction value, which those values indicate that rules have good enough level of confidence, quite interesting and dependent which indicates existing relation between antecedent and consequent. Optimization using genetic algorithm requires longer execution time, but it was able to produce book recommendations better than only using association rule mining. In addition, the system got 77.5% for achieving the goal of recommender system, namely relevance, novelty, serendipity and increasing recommendation diversity. |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
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