Implementasi metode mixed hybrid recommendation system dengan menggabungkan content-based filtering dan collaborative filtering pada sistem informasi filmku

Mufti, Robbani (2018) Implementasi metode mixed hybrid recommendation system dengan menggabungkan content-based filtering dan collaborative filtering pada sistem informasi filmku. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

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Abstract

Technological developments in the last few years developed rapidly, especially in information technology. This development brought a serious impact on the number of data and the spread of information on the internet so required the existence of a recommendation system to sort the information in accordance with the needs of the user. This research method using Mixed Hybrid by combining the two methods that is Content-based Filtering and item-based Collaborative Filtering. The merger of both of these methods are aimed at overcoming the weaknesses of each method. The algorithms used, namely Apriori on a Content-based Filtering and Cosine Similarity Centered on Collaborative Filtering. The experiment was performed on FilmKu information system by using Movielens dataset-100k. The results obtained in the form of a list of 10 recommendations of movies with a value of MAE and the ratio of the largest 0.8779 in ruleset reached 42%. Keywords: Apriori, Content-based Filtering, Centered Cosine Similarity, Itembased Collaborative Filtering, Lift Ratio, MAE, Mixed Hybrid, Movielens, Recommendation System.

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