Open AccessCONSTRUCTION OF ENTERPRISE ECONOMIC DECISION RECOMMENDATION SYSTEM BASED ON COMBINED ASSOCIATION ANALYSIS MODEL
Author(s) -
S. J. ZHAO
Publication year - 2018
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 23
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2018.236
Subject(s) - computer science , test (biology) , collaborative filtering , association rule learning , association (psychology) , portfolio , decision model , relation (database) , operations research , artificial intelligence , recommender system , data mining , machine learning , business , engineering , finance , paleontology , philosophy , epistemology , biology
With the development of the information age and the network economy, enterprises need more and more decisions, and the difficulty and complexity of decision-making are constantly improving. The traditional centralized decision-making is no longer in line with the requirements of current social and economic development. Therefore, based on the in-depth study of conventional algorithms, this paper constructs a portfolio association analysis model for enterprise economic decision-making recommendation system, and uses the off-line test method to test the construction model. The test results show that the accuracy and recall rate calculated by the combination algorithm are higher than the common collaborative filtering algorithm. The enterprise economic decision recommendation system realizes the integration of economic mathematical model, operational research method and decision-making means, greatly improving the enterprise. The accuracy of scientifically feasible decision-making has improved the efficiency of business operations to a certain extent.