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无论是上面哪种电子商务推荐系统，其实现过程大致相同，主要包括推荐输入、
无论是上面哪种电子商务推荐系统，其实现过程大致相同，主要包括推荐输入、推荐算法、推荐输出三部分。推荐系统将收集到的消费者人口统计信息、消费者以往的购物信息、网站的交易数据等作为系统的输入信息，然后通过选择合适的推荐算法完成计算，挖掘出消费者的个性化需求并进行适当的推荐输出。其中推荐算法是整个推荐系统的核心，它决定了推荐的个性化程度、速度、精度和持久度等等。
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No matter what kind of e-commerce is above the recommended system, its implementation process is substantially the same, including the recommended input, recommendation algorithm, recommended output of three parts. The system will recommend consumers to collect demographic information, enter the information consumer information on past purchases, site of transaction data as a system, and then complete the calculation by selecting the appropriate recommendation algorithm, dig out the consumer's individual needs and recommend appropriate output. Recommendation algorithm which is the core of the recommendation system, which determines the recommended degree of personalization, speed, accuracy and durability, and so on.
正在翻译中..
No matter which e-commerce recommendation system above, its implementation process is about the same, including the recommendation input, recommendation algorithm, recommendation output three parts. The recommendation system will collect the consumer demographic information, the consumer's past shopping information, the website's transaction data, etc. as the input information of the system, and then by selecting the appropriate recommendation algorithm to complete the calculation, mining out the consumer's personalized needs and the appropriate recommendation output. The recommended algorithm is the core of the whole recommendation system, which determines the recommended degree of personalization, speed, accuracy and durability, and so on.
正在翻译中..
No matter which e-commerce recommendation system above, its implementation process is basically the same, mainly including recommendation input, recommendation algorithm and recommendation output. The recommendation system takes the collected demographic information of consumers, the previous shopping information of consumers and the transaction data of websites as the input information of the system, and then selects the appropriate recommendation algorithm to complete the calculation, mines the personalized needs of consumers and carries out the appropriate recommendation output. Among them, recommendation algorithm is the core of the whole recommendation system, which determines the personalization, speed, accuracy and durability of recommendation.<br>
正在翻译中..
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