scholarly journals Service Recommendation with High Accuracy and Diversity

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shengqi Wu ◽  
Huaizhen Kou ◽  
Chao Lv ◽  
Wanli Huang ◽  
Lianyong Qi ◽  
...  

In recent years, the number of web services grows explosively. With a large amount of information resources, it is difficult for users to quickly find the services they need. Thus, the design of an effective web service recommendation method has become the key factor to satisfy the requirements of users. However, traditional recommendation methods often tend to pay more attention to the accuracy of the results but ignore the diversity, which may lead to redundancy and overfitting, thus reducing the satisfaction of users. Considering these drawbacks, a novel method called DivMTID is proposed to improve the effectiveness by achieving accurate and diversified recommendations. First, we utilize users’ historical scores of web services to explore the users’ preferences. And we use the TF-IDF algorithm to calculate the weight vector of each web service. Second, we utilize cosine similarity to calculate the similarity between candidate web services and historical web services and we also forecast the ranking scores of candidate web services. At last, a diversification method is used to generate the top- K recommended list for users. And through a case study, we show that DivMTID is an effective, accurate, and diversified web service recommendation method.

Author(s):  
Mustapha Mohammed Baua'a

The I\O file system Read\Write operations are considered the most significant characteristics. Where, many researchers focus on their works on how to decrease the response time of I\O file system read\write operations. However, most articles concentrate on how to read\write content of the file in parallelism manner. Here in this paper, the author considers the parallelizing Read\Write whole file bytes not only its contents. A case study has been applied in order to make the idea more clear. It talks about two techniques of uploading\downloading files via Web Service. The first one is a traditional way where the files uploaded and downloaded serially. While the second one is uploaded\ downloaded files using Java thread in order to simulate parallelism technique. Java Netbeans 8.0.2 have been used as a programming environment to implement the Download\Upload files through Web Services. Validation results are also presented via using Mat-lab platform as benchmarks. The visualized figures of validation results are clearly clarifying that the second technique shows better response time in comparison to the traditional way.


2008 ◽  
pp. 257-297 ◽  
Author(s):  
Asif Akram ◽  
Rob Allen ◽  
Sanjay Chaudhary ◽  
Prateek Jain ◽  
Zakir Laliwala

This chapter presents a ‘Case Study’ based on the distributed market. The requirements of this Grid Business Process are more demanding than any typical business process deployed within a single organization or enterprise. Recently different specifications built on top of Web service standards have originated from the Grid paradigm to address limitations of stateless Web services. These emerging specifications are evaluated in the first part of the chapter to capture requirements of a dynamic business process i.e. Business Process Grid. In second part of the chapter, a case study with different use cases is presented to simulate various scenarios. The abstract discussion and requirements of the case study is followed by the actual implementation. The implementation is meant for the proof-of-concept rather than fully functional application.


Author(s):  
Ha Huy Cuong Nguyen ◽  
Bui Thanh Khiet ◽  
Van Loi Nguyen ◽  
Thanh Thuy Nguyen

Normally web services are classified by the quality of services; however, the term quality is not absolute and defined relatively. The quality of web services is measured or derived using various parameters like reliability, scalability, flexibility, and availability. The limitation of the methods employing these parameters is that sometimes they are producing similar web services in recommendation lists. To address this research problem, the novel improved clustering-based web service recommendation method is proposed in this paper. This approach is mainly dealing with producing diversity in the results of web service recommendations. In this method, functional interest, quality of service (QoS) preference, and diversity features are combined to produce a unique recommendation list of web services to end-users. To produce the unique recommendation results, we propose a varied web service classification order that is clustering-based on web services’ functional relevance such as non-useful pertinence, recorded client intrigue importance, and potential client intrigue significance. Additionally, to further improve the performance of this approach, we designed web service graph construction, an algorithm of various widths clustering. This approach serves to enhance the exceptional quality, that is, the accuracy of web service recommendation outcomes. The performance of this method was implemented and evaluated against existing systems for precision, and f-score performance metrics, using the research datasets.


2016 ◽  
Vol 50 (1) ◽  
pp. 2-15 ◽  
Author(s):  
Chaolemen Borjigin ◽  
Huiling Feng ◽  
Bin Zhang ◽  
Guojun Zhao

Purpose – The purpose of this paper is to introduce a novel method for measuring the utilization of information resources (IRs) in order to provide a complementary index for existing information development indices and to reveal the links between the use of IRs and the readiness of ICT. Design/methodology/approach – This research mainly employs three types of research methodologies: literature study was conducted for defining the term of IRs and for finding the common features of the relevant indices; methods to construct composite indicators are used for developing a theoretical framework, selecting variables, imputation of missing data, normalization of data, weighting and aggregation of the novel index; a case study is carried out to provide a typical application for the index and to reveal the underlying links between the use of IRs and the readiness of ICT. Findings – This paper for the first time proposes a method to measure the utilization of IRs from a Chinese perspective and provides its theoretical foundations, conceptual frameworks, main steps and curial techniques. Further, correlations between the use of IRs and the readiness of ICT in China between 2009 and 2011 are also descried. Practical implications – Measuring the utilization of IRs provides the authorities with an alternative tool to monitor the evolutions a country toward information society. In addition, the novel index presented in this paper can also serve as a method to indentify the gaps among regions in deploying their IRs. Originality/value – This is the first paper to introduce a new measure for utilization of IRs and is also the first paper to reveal links between the use of IRs and the readiness of ICT as well as Gross Domestic Product in China.


Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1597
Author(s):  
Abdessalam Messiaid ◽  
Farid Mokhati ◽  
Rohallah Benaboud ◽  
Hajer Salem

Service-oriented architecture provides the ability to combine several web services in order to fulfil a user-specific requirement. In dynamic environments, the appearance of several unforeseen events can destabilize the composite web service (CWS) and affect its quality. To deal with these issues, the composite web service must be dynamically reconfigured. Dynamic reconfiguration may be enhanced by avoiding the invocation of degraded web services by predicting QoS for the candidate web service. In this paper, we propose a dynamic reconfiguration method based on HMM (Hidden Markov Model) states to predict the imminent degradation in QoS and prevent the invocation of partner web services with degraded QoS values. PSO (Particle Swarm Optimization) and SFLA (Shuffled Frog Leaping Algorithm) are used to improve the prediction efficiency of HMM. Through extensive experiments on a real-world dataset, WS-Dream, the results demonstrate that the proposed approach can achieve better prediction accuracy. Moreover, we carried out a case study where we revealed that the proposed approach outperforms several state-of-the-art methods in terms of execution time.


CONVERTER ◽  
2021 ◽  
pp. 583-589
Author(s):  
Li Ziman

With the rapid growth of the number of Web services, it is necessary to build an efficient web service recommendation system in the face of massive web services. In order to recommend high-quality services to users, the key problem is how to obtain the s value of Web services. This paper proposes a collaborative web service recommendation method based on location clustering. Firstly, users are clustered according to the autonomous system by using the correlation between QoS and user location. According to the clustering results, the system fills in the vacancy Qos value; Then, the vacancy Qos value is filled in in advance and the similarity between active users and each user is calculated. Based on this, to P-K algorithm is used to obtain the most similar Qos value to predict the unknown service for active users to complete the recommendation. The method proposed in this paper can effectively solve the problem of data sparsity and cold start of Web services. At the same time, a better balance between accuracy and coverage is obtained.


2015 ◽  
Vol 3 (3) ◽  
pp. 57-68 ◽  
Author(s):  
Hiroki Takatsuka ◽  
Sachio Saiki ◽  
Shinsuke Matsumoto ◽  
Masahide Namamura

Machine-to-Machine (M2M) systems and cloud services provide various kinds of data via distributed Web services. A context-aware service recognizes real-world contexts from such data and behaves autonomously. However, it has been challenging to manage contexts and services defined on the heterogeneous and distributed Web services. In this paper, the authors propose a framework, called RuCAS, which systematically creates and manages context-aware service using various Web services. RuCAS describes every context-aware service by an ECA (Event-Condition-Action) rule. For this, an event is a context triggering the service, a condition is a set of contexts to be satisfied for execution, and the action is a set of Web services to be executed by the service. Thus, every context-aware service is managed in a uniform manner. Since RuCAS is published as a Web service, created contexts and services are reusable. As a case study, RuCAS is applied to a real home network system.


Author(s):  
Murat Gunestas ◽  
Duminda Wijesekera ◽  
Anoop Singhal
Keyword(s):  

Web services are currently a preferred way to architect and provide complex services. This complexity arises due to the composition of new services by choreographing, orchestrating and dynamically invoking existing services. These compositions create service inter-dependencies that can be misused for monetary or other gains. When a misuse is reported, investigators have to navigate through a collection of logs to recreate the attack. In order to facilitate that task, the authors propose creating forensic web services (FWS), a specialized web service that when used would securely maintain transactional records between other web services. These secure records can be re-linked to reproduce the transactional history by an independent agency. Although their work is ongoing, they show the necessary components of a forensic framework for web services and its success through a case study.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Hao Tian ◽  
Peifeng Liang

With the rapid development and extensive application of Web services, various approaches for Web service recommendation have been proposed in the past. However, the traditional methods only utilize the information of the user-service rating matrix but ignore the trust relations between users, so their recommendation precision is often unsatisfactory, and, furthermore, most of these methods lack the ability to distinguish the credibility of recommendation. To address the problems, we proposed a personalized service recommendation based on trust relationship. In particular, our approach takes into account user experience, interest background, recommendation effect, and evaluation tendency in the formalization of trust relationship, and moreover it can filter out useless or suspected services by exploiting trust relationships between users. To verify the proposed approach, we conducted experiments by using a real-world Web services set. The experimental results show that our proposed approach leads to a substantial increase in the precision and the credibility of service recommendations.


Author(s):  
Jelena Zdravkovic ◽  
Tharaka Ilayperuma

Contemporary enterprises face strong pressures to increase competitiveness by engaging in alliances of several kinds. In a rapidly increasing degree, traditional organizational structures evolve towards online business using modern ICT – such as the Internet, semantic standards, process- and service-oriented architectures. For efficient applications of inter-organizational information systems, the alignment between business and ICT is a key factor. At the ICT level, Web services are used as the cornerstones for modeling the interaction points of Web applications. So far, development of Web services has focused on a technical perspective, such as the development of standards for message exchanges and service coordination. Thereby, business concepts, such as economic values exchanged among the cooperating actors, cannot be traced in Web service specifications. As a consequence, business and ICT models become difficult to keep aligned. To address this issue, the authors propose a MDA-based approach for design of software services which may be implemented using Web services and Web service coordinations. The proposal focuses on a value-explorative analysis and modeling of business services at the CIM level, and model transformations using UML 2 to the PIM level, by utilizing well-defined mappings.


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