Method and device for realizing statistical analysis on user access condition of Internet
A statistical analysis, Internet technology, applied in the field of statistical analysis of website visits based on cookies, can solve problems such as lack of authenticity and errors in results, and achieve the effect of avoiding the loss of user behavior correlation and statistical errors
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Embodiment 1
[0065] 1) For the IP address of the cookie and the user machine information of the browser (including the type and version), assign weights of 0.2 and 0.3 respectively;
[0066] 2) Calculate the similarity between Cookie1 and Cookie2, which is equal to:
[0067] 0.2*IP address similarity between Cookie1 and Cookie2
[0068] +0.3*Browser similarity between Cookie1 and Cookie2;
[0069] The similarity calculation method of user computer information is similar. The ratio of overlapping information is used as the similarity of corresponding information. The ratio of the total number of digits is used as the IP address similarity.
[0070] 3) Merge the Cookies whose similarity is greater than or equal to the predetermined threshold into a new Cookie representing an Internet user, assign a unique ID to the new Cookie after the merger, and store the ID of the new Cookie and the correspondence describing the browsing behavior after the merger. Relationship records, as shown in Tabl...
Embodiment 2
[0083] 1) The weights of 0.2, 0.3, and 0.3 are given to the IP address of the cookie, the browser (including the type and version) and the browsing behavior of the cookie on each website channel;
[0084] 2) Calculate the similarity between Cookie1 and Cookie2, which is equal to:
[0085] 0.2*IP address similarity between Cookie1 and Cookie2
[0086] +0.3*The operating system similarity between Cookie1 and Cookie2
[0087] +0.3*browsing behavior relevance;
[0088] Among them, in order to avoid inconsistent dimensions, the correlation of browsing behavior can be calculated by obtaining the corresponding browsing frequency ratio; as shown in Table 1, the ratio of Cookie1 browsing sports channels is 30%, and the ratio of browsing entertainment channels is 70%; The ratio of Cookie2 browsing the sports channel is 50%, and the ratio of browsing the financial channel is 50%, so for these two cookies, the ratio of overlapping browsing channels of 30% can be regarded as the behavior...
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