Multi-task personalized web service method based on hypergraph

Abstract

The invention provides a multi-task personalized web service method based on a hypergraph, comprising the following steps: relations among objects in a social network community are acquired, the relations among the objects are constructed to form a hypergraph, each object is constructed to be a node in the hypergraph, each relation among the objects is constructed to be a hyperedge in the hypergraph, the objects of the same type form nodes of the same type, the relations among the objects of the same type form the hyperedges of the same type in the hypergraph, and each hyperedge is weighted; a matrix H for characterizing an inclusion relation between the hyperedges and the nodes and a weight diagonal matrix W are acquired; the matrix H and the weight diagonal matrix W are subject to precomputation, query objects are selected in accordance with personalized service demands, and query vectors are constructed in accordance with the query objects; the other objects on the hypergraph are sequenced in accordance with correlation between the others objects and the inquiry objects; and screening is carried out on sequencing results in accordance with the personalized service demands, and the result is pushed to the user. The multi-task personalized web service method based on the hypergraph has the advantages that various types of information in the network community can be taken into account simultaneously, multidimensional relation can be processed, and non-loss of multidimensional information can be ensured.

Description

technical field [0001] The invention relates to the field of personalized services on social network communities, in particular to a method for recommending personalized information on social networks. technical background [0002] With the rapid development of information communication technology, especially the continuous development and increasing popularity of the Internet, the amount of information faced by human society is increasing at an alarming rate, and finding and selecting information has become a time-consuming and laborious task. As a result, personalized information service and information recommendation technology has become a hot topic that is more and more concerned by the academic and industrial circles. [0003] Personalized information service is to analyze the user's historical behavior and predict its interest, so as to filter out a smaller subset of the user's possible interest from all information and provide it to the user. In many methods, person...

AI Technical Summary

Problems solved by technology

Many traditional personalized service methods use ordinary graphs to model information, which can only deal with binary relationships, but cannot deal with these high-dimensional relationships and ensure that high-dimensional information is not lost

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