Multi-domain service topic matching recommendation method
A recommendation method and multi-domain technology, applied in the field of multi-domain service theme matching recommendation, can solve the problems of reducing the efficiency of user service combination and affecting the effect of service recommendation, and achieve the effect of improving the accuracy rate
Active Publication Date: 2017-01-25
TSINGHUA UNIV
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Problems solved by technology
Most of the existing service recommendation technologies for service combinations have done some exploratory work on the first key point; however, how to extract possible related fields in user needs and provide a recommendation service for each related field The list is still not effectively resolved, which also affects the effect of service recommendation and reduces the efficiency of users in service combination
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[0015] Such as figure 1 As shown, it is an application environment diagram of the multi-domain service topic matching recommendation system of the present invention. The application environment diagram includes a computing device 100 connected to multiple clients 200 . Users input their needs through the client 200, and the multi-field service topic matching recommendation system 30 (hereinafter referred to as "system 30") is applied to the computing device 100 to effectively extract multiple service fields involved in user needs, and in each Recommend services related to user needs in the field. The computing device 100 also includes a storage device 10 and a processing device 20, and the client 200 is also used to recommend services related to user needs in each field to the user.
[0016] The storage device 10 stores text information of multiple service combinations and text information of multiple services. The text information includes descriptive text, labels, etc., a...
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The invention discloses a method for matching and recommending service themes in various fields. The method comprises the steps of analyzing service combinations in text information input by a user and distribution of themes of the service combinations, acquiring an association probability between the service combinations and D service fields by using a trained requirement-field matcher, ordering the D service fields from high to low, and recommending ordering results to the user; acquiring the distribution of service themes forecasted by a field-service matcher in each service field by using the field-service matcher corresponding to the service field in each service field, then calculating similarities between the distribution of the themes of the service corresponding to the service field and the distribution of themes of each service in the service field; and ordering the calculated similarities from large to small in each service field, ordering the services from high to low in the service field and recommending ordering results to the user.
Description
technical field [0001] The invention relates to the field of computer system modeling and data analysis, in particular to a method for matching and recommending multi-field service topics. Background technique [0002] With the continuous development and maturity of network services, the Internet is undergoing a transformation from "data-centric" to "service-centric". In recent years, with the rise of service-oriented computing (Service Oriented Computing, referred to as SOC), a large number of software providers on the Internet have changed their traditional business models, and began to adopt the software as a service (Software as a Service, referred to as SaaS) model to Provide software services (hereinafter referred to as services), and at the same time, a large number of users use the open services of the SaaS model on the Internet to develop their own applications. In order to meet complex and changeable demands, many services are combined by developers in the form of...
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IPC IPC(8): G06F17/30
CPCG06F16/353
Inventor 范玉顺夏博飞黄科满刘轶
Owner TSINGHUA UNIV