Customer screening method based on big data
A screening method and big data technology, applied in the field of big data, can solve problems such as inability to mine potential customers, low customer screening accuracy, and small reference range, so as to ensure sales and profits, reduce maintenance time, and screen accuracy high effect
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Embodiment 1
[0031] This specific embodiment is a customer screening method based on big data, and its steps are as follows:
[0032] S1: Crawl data from websites and apps, and store the data:
[0033] S11: Define and describe the crawling target according to the crawling requirements, and obtain the initial URL;
[0034]S12: Crawl the page according to the initial URL to obtain a new URL, filter out links irrelevant to the crawling target from the new URL, and put the filtered links into the URL queue;
[0035] S13: From the URL queue, according to the depth-preferred crawling strategy, determine the priority of the URL, and determine the URL address to be crawled in the next step;
[0036] S14: Repeat S12-S13 until the preset stop condition is met, or when a new URL address cannot be obtained, stop crawling;
[0037] S2: According to the crawled data, analyze the basic information of users from the perspective of user static attributes and classify user static attributes: basic informa...
Embodiment 2
[0044] This specific embodiment is a customer screening method based on big data, and its steps are as follows:
[0045] S1: Crawl data from websites and apps, and store the data:
[0046] S11: Define and describe the crawling target according to the crawling requirements, and obtain the initial URL;
[0047] S12: Crawl the page according to the initial URL to obtain a new URL, filter out links irrelevant to the crawling target from the new URL, and put the filtered links into the URL queue;
[0048] S13: From the URL queue, according to the depth-preferred crawling strategy, determine the priority of the URL, and determine the URL address to be crawled in the next step;
[0049] S14: Repeat S12-S13 until the preset stop condition is met, or when a new URL address cannot be obtained, stop crawling;
[0050] S2: According to the crawled data, analyze the basic information of users from the perspective of user static attributes and classify user static attributes: basic inform...
Embodiment 3
[0057] This specific embodiment is a customer screening method based on big data, and its steps are as follows:
[0058] S1: Crawl data from websites and apps, and store the data:
[0059] S11: Define and describe the crawling target according to the crawling requirements, and obtain the initial URL;
[0060] S12: Crawl the page according to the initial URL to obtain a new URL, filter out links irrelevant to the crawling target from the new URL, and put the filtered links into the URL queue;
[0061] S13: From the URL queue, according to the depth-preferred crawling strategy, determine the priority of the URL, and determine the URL address to be crawled in the next step;
[0062] S14: Repeat S12-S13 until the preset stop condition is met, or when a new URL address cannot be obtained, stop crawling;
[0063] S2: According to the crawled data, analyze the basic information of users from the perspective of user static attributes and classify user static attributes: basic inform...
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