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基于多目标优化算法的推荐算法分析.docx


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Subject : The Research of mendation Algorithm Based on Multi-objective Optimization Algorithm
Specialty : Computer technology
Name : Cai Yuanqiang (Signature)
Instructor : She Xiangyang (Signature)
ABSTRACT
The rapid development of the information technology brings huge information meanwhile results in the problem of information overload. As an effective solution ,
mender system has been proposed and introduced merce, search engine, video service , social media and other industries. Along with mender system providing highly personalized mendation service for users, the users’ interests have gradually led into the small work. Users in interest group browse as well as click interesting goods, which would constantly make these goods mended firstly by system in the future, and the highly profitable goods always been relegated to the long tail therefore resulted long-tail phenomenon, this has seriously affected the profits of businesses. Hence, in view of both businesses and users, establish the mender system for multi-objective requirements is an important issue need to be addressed urgently. Aiming at this issue, this paper made researches as follows:
For the efficiency of mender system, puting strategy which separates online and offline is adopted and a new architecture of mender system is constructed. Firstly, the architecture separates the section which need more time and space to do the calculation on offline. Secondly, updates online without interruption for the section which needs timely response. Finally, gives the data interface of mutual feedback between online and offline, thereby form an architecture of mender system that fast-response, dynamic and feedback each other.
For the multi-objective requirements of the mender system and the numerous limitations of the current mendation algorithm, by adopting the hybrid strategy, a new multi-objective mendation algorithm is proposed. Firstly, the algorithm adopts weighted
combination with multiple mendati

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  • 页数48
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  • 文件大小568 KB
  • 时间2018-06-01