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Personalized recommendation engine implementing method based on multiple Agents

The technology of a recommendation engine and implementation method is applied in the field of multi-Agent-based personalized recommendation engine implementation, which can solve the problems that the multi-Agent technology is not widely used in practice and has no good results in the field of e-commerce, etc., and achieve good scalability, The effect of low coupling and good adaptability

Inactive Publication Date: 2015-03-25
NANJING UNIV
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AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is: the recommendation methods used by existing e-commerce systems are all based on Web logs, and there are no reports of using artificial intelligence technology, and the actual application of multi-agent technology in the distributed artificial intelligence field is not extensive at present , especially in the field of e-commerce personalized recommendation has not yet achieved good results

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  • Personalized recommendation engine implementing method based on multiple Agents
  • Personalized recommendation engine implementing method based on multiple Agents
  • Personalized recommendation engine implementing method based on multiple Agents

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Embodiment Construction

[0043] The object of the present invention is to apply the multi-Agent technology in distributed artificial intelligence to the personalized recommendation of electronic commerce. The recommendation system in traditional e-commerce has certain limitations. The present invention adopts multi-agent technology and performs anthropomorphic modeling based on Agent to make the recommendation system more personalized. It is an innovation to use multi-agent technology to develop a personalized recommendation engine.

[0044] Collaborative filtering recommendation algorithm is an algorithm that uses the behavior and wisdom of user groups to make recommendations. This algorithm is widely used in e-commerce websites, including two algorithms, User CF and Item CF. Practice has found that combining User CF and Item CF to make recommendations has the best effect. The invention combines multi-Agent technology and collaborative filtering algorithm to realize a new personalized recommendation...

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Abstract

The invention provides a personalized recommendation engine implementing method based on multiple Agents. Personalized recommendation of a recommendation engine is realized by data mining, a personalized recommendation engine is implemented by a multi-Agent technology in the field of distributed artificial intelligence and is based on multi-Agent modeling, personated modeling is performed based on Agent, and a recommendation system is personalized. The personalized recommendation engine implementing method based on the multiple Agents is used for the two technical fields of data mining in distributed artificial intelligence and data mining in electronic commerce. A personalized recommendation effect of an electronic commerce recommendation system is achieved by intelligence, sociality, learnability and independence of the multi-Agent technology.

Description

technical field [0001] The invention belongs to the technical field of computer data mining, relates to distributed artificial intelligence technology, is used for personalized recommendation, and is a method for realizing a multi-Agent-based personalized recommendation engine. Background technique [0002] Multi-Agent technology belongs to the field of distributed artificial intelligence, which uses distributed Agents to cooperate and cooperate to complete the system goals. Agent is a computing entity or program that can perceive changes in the external environment and respond according to its own goals. Agent has intelligence, autonomy, self-government, reactivity, social ability and reasoning ability. Most of the multi-agent systems currently constructed are in the stage of experiment and academic research, and there are few related achievements in the field of e-commerce personalized recommendation. [0003] Jadex is a Java-based distributed multi-agent development pla...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0222
Inventor 张瑾玉梁国蓉
Owner NANJING UNIV
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