Open AccessThe Application of the Paradigm of Soft Set Logic Formula in Recommendation System
Author(s) -
Xiao Lu,
Jingwen Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1903/1/012028
Subject(s) - set (abstract data type) , realization (probability) , soft set , computer science , propositional calculus , theoretical computer science , algorithm , artificial intelligence , mathematics , programming language , statistics , fuzzy logic
With the development of science and technology, information has shown explosive growth. It is difficult for information consumers to find useful information from a large amount of information. This article combines soft set theory and propositional calculus to propose a recommendation algorithm that meets the requirements of users. The algorithm describes user requirements in terms of soft set logic formulas and gives reasonable recommendation results by solving the normal form of the sub-formula and its realization in the corresponding soft subset. Numerical example shows that the algorithm can be successfully applied to the problem of song recommendation.