PRODUCT RECOMMENDATION SYSTEM IN MARKETPLACE USING MULTI-FILTERING MODEL
Providing appropriate product recommendations to increase user consumption is the goal of many companies today. People usually buy new products based on most purchased product, similar products, or feedback from other users. To do all this automatically, a recommendation system must be implemente...
Saved in:
Main Author: | Firdaus Arifi, Yusuf |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/70886 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
ANALYSIS OF SENTIMENT DYNAMICS REGARDING MARKETPLACES DUE TO THE CLOSURE OF TIKTOK SHOP USING THE SUPPORT VECTOR MACHINE METHODS AND ISING MODELS.
by: Yusuf Firdaus, Ahmad -
Online multi-task collaborative filtering for on-the-fly recommender systems
by: WANG, Jialei, et al.
Published: (2013) -
Design collaborative filtering recommender systems to solve cold-start problem
by: Hasan Mohammad Yusuf
Published: (2022) -
BOOK RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING AND CLUSTERING
by: Timothea Widjaja, Winona -
PRODUCT RECOMMENDATION SYSTEM ON E-COMMERCE USING MULTI-TASK TWO TOWER RETRIEVAL MODEL
by: Ahmad Zuhri, Hamdi