Pencarian Produk E-Commerce Berdasarkan Judul dan Deskripsi Menggunakan Vector Space Model
DOI:
https://doi.org/10.53990/jupiter.v1i2.7Keywords:
E-Commerce, Vector Space Model, Text Mining, CRISP-DMAbstract
E-Commerce in Indonesia has increased every year, especially B2C sales and this is directly
proportional to the increasing number of e-commerce sites in Indonesia. One of the things
that this site offers is the ease of finding the product you want to find. However, in several
tests conducted, it turns out that some Indonesian e-commerce sites are unable to search for
products based on the description keyword. Therefore, the writer tries to do this research
using the VSM algorithm and produces an accuracy of 60%, a precision of 72.73% and a
recall of 80%.