Web page recommendation system and web page recommendation method for url classification
A recommendation method and webpage technology, which is applied in network data retrieval, special data processing applications, and retrieval of Web data using information identifiers, etc. accuracy and accuracy, resolving misclassifications, and reducing the amount of data computation
Active Publication Date: 2019-09-24
SHANGHAI CTRIP COMMERCE CO LTD
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Problems solved by technology
[0003] The purpose of the present invention is to solve the problems of large amount of calculation, low reliability, low accuracy, low efficiency, and sometimes wrong classification of website classification in the prior art; to provide a webpage for URL classification Recommender system and web page recommendation method
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[0038] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.
[0039] Such as figure 1 As shown, a webpage recommendation system for URL classification, the webpage recommendation system includes: a user interaction module 1 , a forward module 2 and a reverse module 3 . Among them, the user interaction module 1, the forward module 2 and the reverse module 3 are connected in sequence.
[0040] In the present invention, the user interaction module 1 is used to input required URL information and output all recommended URL information corresponding to the required URL information.
[0041] Forward module 2 is used for information collection and capture. It specifically includes: traversing the URL information to obtain each URL information and corresponding webpage content in batches to generate webpage information to be processed, and capturing all recommended URL information corresponding...
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The invention discloses a webpage recommendation system and webpage recommendation method for URL classification. The method comprises the steps that data screening and filtering can be conducted by adopting a basic language word bank, and the algorithm execution efficiency is improved; a spatial vector with the weight is acquired by adopting a weight calculation method; URL classification information is acquired by adopting a classification algorithm; similar content URL recommendation is achieved by adopting a collaborative filtering algorithm. According to the method, massive website information can be quickly and effectively organized and analyzed by taking URL information as a basis to help a website user to conveniently acquire information and knowledge which are needed by the user, and then a service provider can effectively conduct classification according to the website information supplied by the user and supply and recommend more individualized services to the user; the text availability and precision obtained during a website classification operation are improved; misclassification caused by possible spam information on a website is effectively solved, the data calculation amount is decreased, and the calculation efficiency and accuracy are improved.
Description
technical field [0001] The invention relates to the field of network data analysis, in particular to a webpage recommendation system and a webpage recommendation method for URL classification. Background technique [0002] With the development of the Internet, we have now entered the era of intelligence. How to improve user satisfaction with the Internet is the main trend of the contemporary Internet. How to provide a personalized recommendation service can not only enable users to quickly and accurately find the content they need, but also make users feel more considerate and concerned, so as to increase their dependence on the Internet. It has more advantages in the Internet market. However, as the amount of data increases, the conventional manual processing of data will consume a lot of manpower and time, and the corresponding cost will also increase accordingly. Contents of the invention [0003] The purpose of the present invention is to solve the problems of large ...
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IPC IPC(8): G06F16/955G06F16/9535
Inventor 张昊峥雷兵朱志博
Owner SHANGHAI CTRIP COMMERCE CO LTD