SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL)
Recommendation system is a component which has been developed for online commerce purposes. In this issue, one of the popular methods that has been widely used is collaborative filtering. However, this method has some drawbacks and needs to be improved. Therefore, in this research a combination of c...
| Main Authors: | , |
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| _version_ | 1826047928229167104 |
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| author | , IMAM FAHRURROZI , Dr. Azhari SN, M.T. |
| author_facet | , IMAM FAHRURROZI , Dr. Azhari SN, M.T. |
| author_sort | , IMAM FAHRURROZI |
| collection | UGM |
| description | Recommendation system is a component which has been developed for
online commerce purposes. In this issue, one of the popular methods that has been
widely used is collaborative filtering. However, this method has some drawbacks
and needs to be improved. Therefore, in this research a combination of
collaborative filtering and a semantic similarity with Leacock Chodorow method
has been done, and it is expected reducing some deficiencies on the original
collaborative filtering method.
Based on the performance tests, the results conclude that the combination
can reduce some weaknesses on the original collaborative filtering, especially on
the cold-start item and sparsity issue. For this case, based on the results of some
experiments, the best value of the semantic combination parameter is 0,30. Hence,
this proposed method produces the smaller MAE value (error value) compared to
the original method. |
| first_indexed | 2024-03-13T23:18:54Z |
| format | Thesis |
| id | oai:generic.eprints.org:127945 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:18:54Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1279452016-03-04T07:57:18Z https://repository.ugm.ac.id/127945/ SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) , IMAM FAHRURROZI , Dr. Azhari SN, M.T. ETD Recommendation system is a component which has been developed for online commerce purposes. In this issue, one of the popular methods that has been widely used is collaborative filtering. However, this method has some drawbacks and needs to be improved. Therefore, in this research a combination of collaborative filtering and a semantic similarity with Leacock Chodorow method has been done, and it is expected reducing some deficiencies on the original collaborative filtering method. Based on the performance tests, the results conclude that the combination can reduce some weaknesses on the original collaborative filtering, especially on the cold-start item and sparsity issue. For this case, based on the results of some experiments, the best value of the semantic combination parameter is 0,30. Hence, this proposed method produces the smaller MAE value (error value) compared to the original method. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , IMAM FAHRURROZI and , Dr. Azhari SN, M.T. (2014) SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL). UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=68263 |
| spellingShingle | ETD , IMAM FAHRURROZI , Dr. Azhari SN, M.T. SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) |
| title | SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) |
| title_full | SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) |
| title_fullStr | SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) |
| title_full_unstemmed | SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) |
| title_short | SISTEM REKOMENDASI BERBASIS KOMBINASI SEMANTIC SIMILARITY DAN COLLABORATIVE FILTERING (STUDI KASUS PADA TOKO ACCESORIES HANDPHONE BESSELLING CELL) |
| title_sort | sistem rekomendasi berbasis kombinasi semantic similarity dan collaborative filtering studi kasus pada toko accesories handphone besselling cell |
| topic | ETD |
| work_keys_str_mv | AT imamfahrurrozi sistemrekomendasiberbasiskombinasisemanticsimilaritydancollaborativefilteringstudikasuspadatokoaccesorieshandphonebessellingcell AT drazharisnmt sistemrekomendasiberbasiskombinasisemanticsimilaritydancollaborativefilteringstudikasuspadatokoaccesorieshandphonebessellingcell |