基于数学表达式的推荐模型在用户行为建模中的应用

Chun-cheong. Pang
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引用次数: 0

摘要

随着科技的发展,互联网技术也越来越成熟,用户在上网时可以根据自己的需要,选择适合自己特点和喜好的不同类别的信息,而不是被动地获取信息。因此,用户在浏览信息时,会根据自己的需求选择自己感兴趣或适合自己特点和兴趣的网站,搜索引擎会根据用户的浏览信息计算出相应的排名,最终向目标用户推荐该网站。推荐技术在信息检索领域的应用,不仅可以帮助用户从海量的数据中获取有用的内容,还可以提高搜索引擎优化的效果。本文介绍了一种基于数学表达式的推荐模型,重点讨论了该模型在用户行为建模中的作用,并对算法过程进行了描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of mathematical expression-based recommendation models in user behaviour modelling
With the development of technology, internet technology is becoming more and more mature, so that users can choose different categories of information according to their needs and suitable for their own characteristics and preferences when surfing the internet, instead of having to passively obtain it. Therefore, when browsing information, users will choose websites that interest them or suit their characteristics and interests according to their own needs, and search engines will calculate the corresponding ranking according to the user's browsing information, and finally recommend the website to the target user. The application of recommendation technology in the field of information retrieval not only helps users to obtain useful content from the huge amount of data, but also improves the effect of search engine optimization. This paper introduces a recommendation model based on mathematical expressions and focuses on its role in modelling user behaviour, while the algorithmic process is also described in this paper.
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