Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines
Recently, Mashup is becoming a promising software development method in the mobile service computing environment, which enables software developers to compose existing mobile services to create new or value-added composite RESTful web application. Due to the rapid increment of mobile services on the...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2019/6423805 |
id |
doaj-4abf599566b6488d98162f2e038da8c0 |
---|---|
record_format |
Article |
spelling |
doaj-4abf599566b6488d98162f2e038da8c02021-07-02T03:50:33ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2019-01-01201910.1155/2019/64238056423805Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization MachinesBuqing Cao0Bing Li1Jianxun Liu2Mingdong Tang3Yizhi Liu4Yanxinwen Li5School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, ChinaSchool of Computer Science, Wuhan University, Wuhan, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, ChinaSchool of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, ChinaDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, USARecently, Mashup is becoming a promising software development method in the mobile service computing environment, which enables software developers to compose existing mobile services to create new or value-added composite RESTful web application. Due to the rapid increment of mobile services on the Internet, it is difficult to find the most suitable services for building user-desired Mashup application. In this paper, we integrate word embeddings enhanced hierarchical Dirichlet process and factorization machines to recommend mobile services to build high-quality Mashup application. This method, first of all, extends the description documents of Mashup applications and mobile services by using Word2vec tool and derives latent topics from the extended description documents of Mashup and mobile services by exploiting the hierarchical Dirichlet process. Secondly, the factorization machine is applied to train these latent topics to predict the probability of mobile services invoked by Mashup and recommend mobile services with high-quality for Mashup development. Finally, the performance of the proposed method is comprehensively evaluated. The experimental results indicate that compared with the existing recommendation methods, the proposed method has significant improvements in MAE and RMSE.http://dx.doi.org/10.1155/2019/6423805 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Buqing Cao Bing Li Jianxun Liu Mingdong Tang Yizhi Liu Yanxinwen Li |
spellingShingle |
Buqing Cao Bing Li Jianxun Liu Mingdong Tang Yizhi Liu Yanxinwen Li Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines Mobile Information Systems |
author_facet |
Buqing Cao Bing Li Jianxun Liu Mingdong Tang Yizhi Liu Yanxinwen Li |
author_sort |
Buqing Cao |
title |
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines |
title_short |
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines |
title_full |
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines |
title_fullStr |
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines |
title_full_unstemmed |
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines |
title_sort |
mobile service recommendation via combining enhanced hierarchical dirichlet process and factorization machines |
publisher |
Hindawi Limited |
series |
Mobile Information Systems |
issn |
1574-017X 1875-905X |
publishDate |
2019-01-01 |
description |
Recently, Mashup is becoming a promising software development method in the mobile service computing environment, which enables software developers to compose existing mobile services to create new or value-added composite RESTful web application. Due to the rapid increment of mobile services on the Internet, it is difficult to find the most suitable services for building user-desired Mashup application. In this paper, we integrate word embeddings enhanced hierarchical Dirichlet process and factorization machines to recommend mobile services to build high-quality Mashup application. This method, first of all, extends the description documents of Mashup applications and mobile services by using Word2vec tool and derives latent topics from the extended description documents of Mashup and mobile services by exploiting the hierarchical Dirichlet process. Secondly, the factorization machine is applied to train these latent topics to predict the probability of mobile services invoked by Mashup and recommend mobile services with high-quality for Mashup development. Finally, the performance of the proposed method is comprehensively evaluated. The experimental results indicate that compared with the existing recommendation methods, the proposed method has significant improvements in MAE and RMSE. |
url |
http://dx.doi.org/10.1155/2019/6423805 |
work_keys_str_mv |
AT buqingcao mobileservicerecommendationviacombiningenhancedhierarchicaldirichletprocessandfactorizationmachines AT bingli mobileservicerecommendationviacombiningenhancedhierarchicaldirichletprocessandfactorizationmachines AT jianxunliu mobileservicerecommendationviacombiningenhancedhierarchicaldirichletprocessandfactorizationmachines AT mingdongtang mobileservicerecommendationviacombiningenhancedhierarchicaldirichletprocessandfactorizationmachines AT yizhiliu mobileservicerecommendationviacombiningenhancedhierarchicaldirichletprocessandfactorizationmachines AT yanxinwenli mobileservicerecommendationviacombiningenhancedhierarchicaldirichletprocessandfactorizationmachines |
_version_ |
1721341119873155072 |