A personalized text sorting and recommendation method for network users
A technology for network users and sorting methods, applied in special data processing applications, instruments, electronic digital data processing, etc. low-complexity effects
Active Publication Date: 2018-01-09
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology
This method is easy to popularize and apply, but it does not take into account the influence of operators in the rules when calculating the order, and it is easy to cause mismatches based on the matching of text strings and trie trees
[0004] To sum up, in the application scenario of personalized text sorting with a small number of users, the method of collaborative filtering is not applicable, and the method based on content filtering has higher requirements on the quantity and quality of texts collected by users
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[0047]In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described with reference to the accompanying drawings.
[0048] According to an embodiment of the present invention, a personalized text sorting method for network users is provided. refer to figure 1 In a nutshell, the method includes: obtaining user behavior interests, establishing a user interest model, extracting keyword information of text, calculating the similarity between the text and the user interest model, and sorting the text according to the similarity. The steps of the method are described below. It should be noted that the steps of the method described in the specification are not necessarily required, but one or more steps can be omitted or replaced according to actual situations. In addition, the order of the steps can also be changed according to actual conditions.
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The invention discloses a personalized text sequencing and recommending method for network users. The personalized text sequencing method includes that carrying out the following steps on each interest rule which comprises an expression formula with keywords and operational characters of users, 1) extracting keywords from each text of a plurality of texts and the weight of the keywords of each text; 2) calculating the similarity between each text and an expression formula tree corresponding to the interest rule, wherein the expression formula tree is built according to the expression formula in the interest rule, nodes in the expression formula tree comprise operational character nodes and text nodes, and the text nodes comprise the keywords and the weight of the keywords in the interest rule; 3) sequencing each text according to the similarity between each text and the expression formula tree. The personalized text sequencing and recommending method for network users is capable of effectively recommending the text information which conforms to personalized needs to users under a sparse user behavior scene.
Description
technical field [0001] The invention relates to the technical field of information retrieval and filter recommendation, and more specifically, to a personalized text sorting and recommendation method for network users. Background technique [0002] The Internet generates massive amounts of information all the time, and media such as news, forums, and blogs continuously generate web pages for users to browse, and these web pages carry various text information. On the one hand, the richness and transparency of network information provides unprecedented convenience for users; Or spam floods a lot of meaningful information. At present, many websites improve service quality by recommending popular information to users. However, the amount of popular information is still very large, and the information received by all users is exactly the same. In reality, because different people have different needs for information types, users hope to spend their limited energy on reading th...
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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 程学旗杜慧张瑾黄康平余智华刘悦刘玮
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI