AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS
Recommender System (RS) is successfully applied in predicting user preferences. For instance, RS has been used in many areas such as in e-commerce (for online shopping), in entertainments (music/movie/video clip... recommendation), and in education (learning resource recommendation). In Vietnam, e-c...
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| Format: | Article |
| Language: | English |
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Dalat University
2013-06-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
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| Online Access: | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/249 |
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| author | Nguyen Thai Nghe |
| author_facet | Nguyen Thai Nghe |
| author_sort | Nguyen Thai Nghe |
| collection | DOAJ |
| description | Recommender System (RS) is successfully applied in predicting user preferences. For instance, RS has been used in many areas such as in e-commerce (for online shopping), in entertainments (music/movie/video clip... recommendation), and in education (learning resource recommendation). In Vietnam, e-commerce is initially growing, thus, RS may be an interesting and potential research topic in the next years. In this work, we shortly introduce about the RS and thoroughly describe one of the prominent techniques in RS which is Matrix Factorization (MF). We describe the MF in details so that the new reader can understand and implement it easily. In the experiments, we set up and compare the MF with other techniques using three data sets from two different areas which are entertainment and education. Experimental results show that the MF can work well in both entertainment (e-commerce) and education domain. |
| format | Article |
| id | doaj-art-4a7d13b0b9dd45ea89c44e8a732d9561 |
| institution | Kabale University |
| issn | 0866-787X |
| language | English |
| publishDate | 2013-06-01 |
| publisher | Dalat University |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Đà Lạt |
| spelling | doaj-art-4a7d13b0b9dd45ea89c44e8a732d95612025-02-02T09:08:23ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X2013-06-013210.37569/DalatUniversity.3.2.249(2013)AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMSNguyen Thai Nghe0College of Information and Communication Technology, Cantho UniversityRecommender System (RS) is successfully applied in predicting user preferences. For instance, RS has been used in many areas such as in e-commerce (for online shopping), in entertainments (music/movie/video clip... recommendation), and in education (learning resource recommendation). In Vietnam, e-commerce is initially growing, thus, RS may be an interesting and potential research topic in the next years. In this work, we shortly introduce about the RS and thoroughly describe one of the prominent techniques in RS which is Matrix Factorization (MF). We describe the MF in details so that the new reader can understand and implement it easily. In the experiments, we set up and compare the MF with other techniques using three data sets from two different areas which are entertainment and education. Experimental results show that the MF can work well in both entertainment (e-commerce) and education domain.https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/249Recommender SystemsRating predictionMatrix factorization |
| spellingShingle | Nguyen Thai Nghe AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS Tạp chí Khoa học Đại học Đà Lạt Recommender Systems Rating prediction Matrix factorization |
| title | AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS |
| title_full | AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS |
| title_fullStr | AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS |
| title_full_unstemmed | AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS |
| title_short | AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS |
| title_sort | introduction to factorization technique for building recommendation systems |
| topic | Recommender Systems Rating prediction Matrix factorization |
| url | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/249 |
| work_keys_str_mv | AT nguyenthainghe anintroductiontofactorizationtechniqueforbuildingrecommendationsystems AT nguyenthainghe introductiontofactorizationtechniqueforbuildingrecommendationsystems |