An Interactive Service Recommendation Method with Dual Interaction Relationship and Attention Mechanism

Abstract

The invention proposes an interactive service recommendation method with dual interaction relationship and attention mechanism, the core of which is a service call prediction model. The model includes: using the Google Inception network-based text feature extractor and the graph embedding technology node2vec to extract the content features and call features of Web applications and services; based on the attention mechanism and multi-layer perceptron, respectively learn the Web applications to be developed , the content interaction and call interaction between the selected service and the candidate service; the above two interactions are integrated based on the multi-layer perceptron; the softmax function is used to predict the possibility that the developer selects the current candidate service as the component service. The interactive service recommendation method proposed by the present invention includes: using the above model to predict the score of each candidate service; recommending the N candidate services with the highest predicted scores to the developer; after the developer selects several component services, the recommendation process enters the next step round; repeat the above steps until the developer's requirements are fully realized.

Description

technical field [0001] The invention belongs to the field of service calculation and recommendation system, and in particular relates to an interactive service recommendation method with dual interaction relationship and attention mechanism. Background technique [0002] With the maturity of service-oriented computing paradigm, service-oriented software development is becoming more and more popular; so far, a large number of Web services have been published on the Internet; by integrating one or more Web services, software developers can build more efficient Web application programs (mashup) that provide specific functions; in recent years, this development method has shown a strong ability to reduce system development costs and improve software quality; in order to cope with many challenges brought about by the rapid growth of the number of Web services, service recommendation technology Emerged as the times require, it actively recommends suitable component services for de...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem that the existing service recommendation technology is difficult to work in the interactive Web application development scenario, the present invention proposes an interactive service recommendation method with dual interaction relationship and attention mechanism, including the following steps:

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