Interactive service recommendation method based on double interactive relationships and attention mechanism

Abstract

The invention provides an interactive service recommendation method based on double interactive relationships and an attention mechanism. The core of the method is a service call prediction model. Themodel comprises the steps that a text feature extractor based on a Google Inception network and a graph embedding technology node2vec are used for extracting content features and calling features ofWeb application programs and services respectively; based on an attention mechanism and a multi-layer perceptron, content interaction and calling interaction among the Web application program to be developed, the selected service and the candidate service are respectively learned; the two interactions are integrated based on a multi-layer perceptron; a softmax function is used to predict the likelihood that a developer selects a current candidate service as a component service. The interactive service recommendation method provided by the invention comprises the following steps: predicting thescore of each candidate service by using the model; recommending the N candidate services with the highest prediction score to the developer; after the developer selects a plurality of component services, enabling the recommendation process to enter the next round; and repeating the steps until the requirements of the developer are completely met.

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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