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A crawler-based network promotion effect evaluation method

A crawler and network technology, applied in the field of crawler-based network promotion effect evaluation, can solve the problem of complex crawler workflow and other problems, and achieve the effect of promoting renewal

Active Publication Date: 2022-07-05
百卓网络科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The workflow of focusing on crawlers is relatively complicated. It is necessary to filter links irrelevant to the topic according to a certain webpage analysis algorithm, keep useful links and put them into the URL queue waiting to be crawled

Method used

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  • A crawler-based network promotion effect evaluation method

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Embodiment Construction

[0020] A crawler-based network promotion effect evaluation method, comprising the following steps:

[0021] Step 1: Pull the customer information of the target customer;

[0022] Step 2: Use the thesaurus to segment the target customer's information;

[0023] Step 3: De-duplicate keywords; select the first 3 keywords;

[0024] Step 4: Use python to write a focus crawler, call the Baidu search engine to crawl the Baidu search result list page, and use the search terms that have been deduplicated in step 3;

[0025] Step 5: Analyze the search results crawled in Step 4, and analyze the source of the search results to determine whether the webpage belongs to the specified promotion source. If so, record the search result. If not, continue to analyze the next item. search results;

[0026] Step 6: Invoke the Baidu search engine to turn the page backwards;

[0027] Step 7: Repeat steps 5 and 6 until all search results are crawled;

[0028] Step 8: According to the data crawled ...

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Abstract

The invention discloses a crawler-based network promotion effect evaluation method, comprising the following steps: pulling customer information of a target customer; using a thesaurus to segment the information of the target customer; deduplicating keywords; selecting the first three keywords ;Use python to write a focus crawler, call Baidu search engine to crawl the Baidu search result list page, the search words used are the keywords after deduplication in step 3; analyze the search results crawled in step 4; call Baidu search engine backward Page turning; according to the crawled data, use the crawler to crawl twice to complete the information; summarize the information and put it into the warehouse. To achieve regular and batch crawling of Baidu's inclusion results, to detect and analyze the effect of customer delivery, through the collected data, the current inclusion of customer pages in Baidu can be fed back to promote the company's contract renewal negotiation with customers; at the same time, it can be analyzed in a certain industry. Collect better keywords, give customer optimization plans, and improve the effect of customers' recognition of the company.

Description

technical field [0001] The invention relates to the service discovery field of computer processing technology, in particular to a crawler-based network promotion effect evaluation method. Background technique [0002] With the success of Alibaba, Baidu, Tencent and other companies, Internet thinking is more and more frequently mentioned by everyone. More and more companies have begun to use the Internet to enhance the visibility of their companies, display their products, and introduce their services. Customers who purchase membership or promotion services hope to see the effect of delivery intuitively. However, customers do not know the real collection status of their own websites, nor do they know which words have higher retrieval and collection volumes. This method is based on the fact that web crawlers can regularly and batch crawl Baidu's collection results, analyze the effect of customer delivery, and establish a long-term feedback mechanism, thereby promoting users t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/951G06F16/953G06Q30/02
CPCG06F16/951G06F16/953G06Q30/0242
Inventor 邱明胜
Owner 百卓网络科技有限公司
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