Personalized website navigation method and system
A technology of website navigation and website, which is applied in the field of personalized website navigation for users, and can solve the problems that users cannot provide personalized and website navigation recommendation services, etc.
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example 1
[0058] Manual classification is directly adopted, or manual classification is performed after word segmentation of web page content;
example 2
[0060] Word segmentation + automatic classification
[0061] First, perform word segmentation and other preprocessing on the document, and use a token as an attribute according to the word segmentation result, and generate a document based on the traditional TF / IDF (term frequency / inverse document frequency) model Represents the feature vector of the website; wherein, each dimension of the vector is the attribute word, and the value of each dimension is the number of occurrences of the attribute word.
[0062] Then, use machine learning method or rule-based method to classify each website vector to obtain a website category.
[0063] A better way to classify is to use Bayes (simple Bayesian) classification method, the classification method calculates the probability of different classification categories under the different values of each dimension, and then utilizes the values of all dimensions to calculate the probability of belonging to a certain category as a whole, ...
example 3
[0066] First establish the initial classification of webpage information in a tree structure; then perform dynamic monitoring, if the number of information under any category reaches a preset value, then split the category, and the division includes: performing aggregation according to the similarity between webpages Class operation, the webpages whose similarity reaches the preset value are clustered into one category; the rest of the webpages are set as an isolated webpage class. Of course, the clustered category names can also be marked. The information index method based on dynamic classification provided in this example is more comprehensive and in-depth than static classification results in terms of classification breadth and depth.
[0067] The classification system established through the dynamic classification process in this example is a hierarchical multi-level index storage method. The top-level classification (not limited to one layer) is classified once according...
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