Mashup service clustering based on an integration of service content and network via exploiting a two-level topic model
The rapid growth in the number and diversity of Mashup services, coupled with the myriad of
functionally similar Mashup services, makes it difficult to find suitable Mashup services to …
functionally similar Mashup services, makes it difficult to find suitable Mashup services to …
Joint modeling users, services, mashups, and topics for service recommendation
With an increasing number of Web services on-line, service recommendation becomes an
important approach to help user discover suitable services. However, current service …
important approach to help user discover suitable services. However, current service …
A service recommendation algorithm based on modeling of implicit demands
Y Zhang, T Lei, Y Wang - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
The results from using the current service recommendation algorithms are still unable to
meet the dynamic and diverse demands of users. Therefore, a recommendation algorithm is …
meet the dynamic and diverse demands of users. Therefore, a recommendation algorithm is …
Service package recommendation for mashup development based on a multi-level relational network
With the number of services growing explosively, it has been a serious problem selecting
appropriate services for mashup development. In this paper, we come up with a Multi-level …
appropriate services for mashup development. In this paper, we come up with a Multi-level …
Using relational topic model and factorization machines to recommend web APIs for mashup creation
The rapid growth in the number of Web APIs, coupled with the myriad of functionally similar
Web APIs, makes it difficult to find suitable Web APIs to develop Mashup applications. Even …
Web APIs, makes it difficult to find suitable Web APIs to develop Mashup applications. Even …