Results 271 to 280 of about 192,726 (305)

Mobile Services Recommendation

2020
The overwhelming amount of services makes it difficult for users to find appropriate services to meet their functional and non-functional requirements. Therefore, the service recommendation technique becomes an important role in helping using services.
Shuiguang Deng, Hongyue Wu, Jianwei Yin
openaire   +1 more source

Service Recommendation Based on Targeted Reconstruction of Service Descriptions

2017 IEEE International Conference on Web Services (ICWS), 2017
With the rapidly increasing number of services, there is an urgent demand for service recommendation algorithms that help to automatically create mashups. However, most traditional recommendation algorithms rely on the original service descriptions given by service providers.
Yushi Hao, Yushun Fan, Wei Tan 0001, Jia Zhang 0001   +3 more
openaire   +1 more source

A Framework for Top Service Subscription Recommendations for Service Assemblers

2016 IEEE International Conference on Services Computing (SCC), 2016
It is common practice today for small and medium business houses to assemble and host services, than hosting everything themselves. To cater to diverse market needs, these houses often need to subscribe to different services from different information providers.
Soumi Chattopadhyay, Ansuman Banerjee, Tridib Mukherjee   +2 more
openaire   +1 more source

Personalized Recommendation Services Based on Service-Oriented Architecture

2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006
Recommendation systems are special personalization tools that help users to find interesting information and services. This paper proposes a personalized recommendation system based on service-oriented architectures (SOAs). It introduces service-oriented recommendation technologies such as recommendation engines, data mining, content-based approach and
Quan Wen, Jianmin He
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Awareness of Social Influence for Service Recommendation

2013 IEEE International Conference on Services Computing, 2013
With increasing presence and adoption of Web Services on the World Wide Web, to recommend suitable services to users has become an important issue. However, existing personalization approaches, such as collaborative filtering or content based recommendations, are ignoring services' sociability because of the isolation of services without social ...
Wuhui Chen, Incheon Paik, Takazumi Tanaka, Banage T. G. S. Kumara   +3 more
openaire   +1 more source

Recommendation for Newborn Services by Divide-and-Conquer

2017 IEEE International Conference on Web Services (ICWS), 2017
Service recommendation plays a critical role in fostering the growth of service ecosystems. However, existing methods are mainly in favor of a small number of popular services while newly emerged ones (i.e., newborn services) are largely ignored, which hurts the systems in two aspects. First, the potential of many services, especially the newborn ones,
Junqi Zhang, Yushun Fan, Wei Tan 0001, Jia Zhang 0001   +3 more
openaire   +1 more source

Clustering-Based Diversity in Service Recommendation

Recommending a certain number of services based on QoS (Quality of Service) is a very widespread problem. Traditional approaches use the QoS advertised by service providers to calculate the top-k services or the skyline ones. The drawback of the top-k operator is that it requires users to provide a utility function, which is a rather demanding task. In
Karim Benouaret, Mohamed Essaid Khanouche   +1 more
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Accuracy-Aware Service Recommendation with Privacy

2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019
With the advent of IoT(Internet of Things) age, the variety and volume of web services have been increasing at an fast speed. This often leads to a heavy burden on users' service selections. Under this circumstances, a variety of methods such as Collaborative Filtering are adopted to deal with this challenging situation. While traditional Collaborative
Xiaoxiao Chi, Chao Yan, Huaizhen Kou, Lianyong Qi   +3 more
openaire   +1 more source

Recommendation and Diagnosis Services for Presentation Semantics

International Conference on Computers in Education, 2010
The main topic in this paper is how to effectively help research group members share and reuse presentation documents. The key idea is to propose a presentation semantics framework, which represents semantic roles of and relations among presentation slides with metadata. We then discuss a machine learning technique for analyzing the semantics roles and
Shinobu Hasegawa, Akihide Tanida, Akihiro Kashihara   +2 more
openaire   +1 more source

An UIMA-Based Service Recommendation Approach

2013 International Conference on Cloud and Service Computing, 2013
With the development of network technology and the increasing of users, web services are becoming increasingly popular, and they have brought more and more convenience to the users. As the increasing of web services, their interfaces become complicated and insistent due to the diversity of application environment.
Xiaokun Wu 0002, Zhi Yang, Jiyan Wu
openaire   +1 more source