کنفرانس بین المللی فناوری اطلاعات و دانش

صفحه اصلی / سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Web Service Ranking based on QoS and Use Prefer

نویسندگان :

Seyed Hossein Siadat¹ Danial Ramezani² Fatemeh Ahani³

1- دانشگاه خوارزمی 2- دانشگاه آزاد اسلامی واحد قزوین 3- دانشگاه آزاد اسلامی واحد علوم و تحقیقات

کلمات کلیدی :

Web Service Selection،Service Ranking،Web Service،Psychological Features of User،, Quality of Service

چکیده :

One of the most important issues of ranking is thousands of web service available. Finding and implementing algorithms that do ranking well, is very essential. The important issue is that after ranking and choosing their best by different algorithms and suggesting them to user he is satisfied. Different algorithms presented so far for this purpose have focused on processing the content of user application and they have tried to do this selection based on word key or meaning or quality features, yet psychological features of users has impact on their satisfaction of suggested services of algorithms which hasn’t been noted to this dependency. The purpose of this research is ranking web services and suggesting their best considering psychological features of persons. We review 2 ways of ranking. At first using qualitative model we consider qualitative features and then psychological features in qualitative and psychological combined model besides qualitative features. In qualitative and psychological combined model psychological valid test NEO-FFI has been used to get people psychological features and put them in related clusters given persons psychological features, on one hand, we obtain the amount of people importance to qualitative features using “prioritizing to web services features” form and then the relationships between persons psychological features and qualitative features of services are computed and Correlation coefficients indicating the importance of the qualitative feature in terms of each cluster persons are obtained and we can obtain the amount of general quality of each web service by its impact on qualitative features of data base of real life of QWS consisting 2500 web services and rank them and suggest the best to user. Above forms (given kokran formula) were distributed among 66 IT experts from 5 universities. At last 10 services which were suggested by qualitative and qualitative and psychological combined models, gave to 20 users for 14 days and with revising again of them we concluded that in the first case, users were satisfied 83.15% and in the second case 93.03% which is an optimal result