Method for personalized recommendation of Web text
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Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A recommendation method and text technology, which can be used in unstructured text data retrieval, text database clustering/classification, special data processing applications, etc., and can solve problems such as the need to improve accuracy.
Inactive Publication Date: 2015-05-13
YUNNAN UNIV
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[0007] Although the existing Web text personalized recommendation method takes into account the historical data of user behavior, the accuracy of the recommendation still needs to be improved
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[0044] In this example, if figure 1 As shown, the Web text personalized recommendation method of the present invention comprises: step (1), Web text feature extraction, by word segmentation, keyword addition, keyword word frequency statistics, Web text is carried out feature extraction; Step (2), Web text model Construction, by generating a concept matrix of Web text collection based on the synonym forest, and then clustering to construct a Web text model; step (3), dynamic user preference modeling, according to the historical data of user behavior, that is, the behavior involved before time t A subset of Web texts, and its time information, based on the memory curve model, establishes a dynamic user preference model to express user preferences that change over time; step (4), personalized recommendation of Web texts, considering user preferences and Web text features The similarity, through the matching relationship to establish a user recommendation list to complete the pers...
example
[0097] Example: Personalized news recommendation based on user dynamic preferences
[0098] In this example, the web text is a news text. According to the historical behavior of users browsing news, given 5 news texts browsed by 2 users before February 1, 2015, including time information and news content, as shown in Table 1 , and related synonyms are shown in Table 2. On February 2, 2015, a new piece of news "Soldiers holding 95 rifles on guard to cover their companions' assault" was generated, which is a news text to be recommended.
[0099] Table 1 is the browsing data of users, time and network news texts.
[0100] user
browsing time
news number
news text browsed
Li Yi
2015-1-1
1
Sina Auto released the 2015 e-commerce strategic layout social e-commerce platform
Wang Er
2014-12-10
2
Where is the boundary of animal protection?
Li Yi
2015-1-20
3
Spy photos of Haval H7, a medium-to-large sports SUV ...
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Abstract
The invention discloses a method for a personalized recommendation of a Web text. The method comprises the following steps: performing feature extraction on a plurality of kinds of Web texts generated before a certain time t so as to obtain a feature matrix E of a Web text set, and then performing cluster so as to obtain n categories; besides, according to a time span hj from the time when a Web text oj in a Web text subset relevant to the behavior of a certain user ui before the time t to the time t, calculating out a preference influence degree dj to the user ui so as to obtain a pair of category number-influence degree cj of the Web text oj and generate a dynamic preference vector of the user ui; if the preference influence degree of the user and the category of the Web text to be recommended is found to be higher than or equal to a threshold value tan, recommending the Web text to be recommended to the user. According to the method disclosed by the invention, the dynamic influence changed with the time lapse of current preference from the historic behavior of the user is considered, and the method is more accurate in recommendation, has dynamic performance, and more conforms to the actual condition.
Description
technical field [0001] The invention belongs to the technical field of mass information processing and data mining, and more specifically, relates to a personalized recommendation method for Web texts, which obtains user preferences based on historical data of user behavior, and recommends Web texts of interest and potential interest to users. . Background technique [0002] The emergence and popularization of the Internet has met the needs of users for information in the information age, but the evolution of the network and the improvement of people's cognitive ability have accelerated the speed of information generation. [0003] Web text is a variety of Web information represented by text, such as network news, microblog content, text descriptions or evaluations of products on e-commerce websites, etc. are typical representatives of current Web texts. With the rapid development and popularization of Internet technology, a large number of Web texts have become an importan...
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