Open AccessResearch on the Design and Application of Implicit Semantic Model in Bundle Recommendation Method
Author(s) -
Zhitao Li,
Shuqing Liu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/7/072092
Subject(s) - computer science , connection (principal bundle) , recommender system , collaborative filtering , information retrieval , bundle , data mining , mathematics , materials science , geometry , composite material
The recommendation system has been studied for a long time. Data of more users and commodities has been used to improve precision of the recommendation system. However, few studies are on utilization of bundling information. The bundling information refers to the inherent connection of the commodities, and depended by objective properties of commodities. This paper adds bundling information to the recommendation method based on traditional implicit semantic model and collaborative filtering method. This paper sets the bundling coefficient to show the connection degree between commodities and recommended decisive factors. Experiment shows the precision of recommendation could be improved with bundling information in specific environment through changing bundling coefficient.