PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD
Product recommendation is one of the technologies that is continuously being developed from time to time, especially in the use case of e-commerce. This is done due to the fact that with a good product recommendation, e-commerce can increase their sales. Unfortunately, oftentimes development of p...
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id-itb.:746732023-07-20T16:38:57ZPRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD Feihan, Marcelino Indonesia Final Project product recommendation, user-based collaborative filtering, implicit rating, event type INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/74673 Product recommendation is one of the technologies that is continuously being developed from time to time, especially in the use case of e-commerce. This is done due to the fact that with a good product recommendation, e-commerce can increase their sales. Unfortunately, oftentimes development of product recommendation only involves explicit ratings given by the user, where explicit rating can only see a small portion of the user's intention about what item that they want to buy. Other than that, product recommendation often gives a recommendation of an item that’s no longer an interest of the users due to it having been bought before. Looking at those facts, in this research we will build a product recommendation using user based collaborative filtering method by giving a weight to user implicit rating, which is their event type. We will also test various scenario of weight to user event type and the result is that in general, the bigger the weight is, the value of recall will increase text |
| institution |
Institut Teknologi Bandung |
| building |
Institut Teknologi Bandung Library |
| continent |
Asia |
| country |
Indonesia Indonesia |
| content_provider |
Institut Teknologi Bandung |
| collection |
Digital ITB |
| language |
Indonesia |
| description |
Product recommendation is one of the technologies that is continuously being
developed from time to time, especially in the use case of e-commerce. This is
done due to the fact that with a good product recommendation, e-commerce can
increase their sales. Unfortunately, oftentimes development of product
recommendation only involves explicit ratings given by the user, where explicit
rating can only see a small portion of the user's intention about what item that they
want to buy. Other than that, product recommendation often gives a
recommendation of an item that’s no longer an interest of the users due to it
having been bought before. Looking at those facts, in this research we will build a
product recommendation using user based collaborative filtering method by
giving a weight to user implicit rating, which is their event type. We will also test
various scenario of weight to user event type and the result is that in general, the
bigger the weight is, the value of recall will increase |
| format |
Final Project |
| author |
Feihan, Marcelino |
| spellingShingle |
Feihan, Marcelino PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD |
| author_facet |
Feihan, Marcelino |
| author_sort |
Feihan, Marcelino |
| title |
PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD |
| title_short |
PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD |
| title_full |
PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD |
| title_fullStr |
PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD |
| title_full_unstemmed |
PRODUCT RECOMMENDATION OF ELECTRONIC GOODS TO E-COMMERCE USERS USING USER BASED COLLABORATIVE FILTERING METHOD |
| title_sort |
product recommendation of electronic goods to e-commerce users using user based collaborative filtering method |
| url |
https://digilib.itb.ac.id/gdl/view/74673 |
| _version_ |
1822993924265869312 |