A Web service recommendation system based on QoS attribute based collaborative filtering
Journal Title: Webology - Year 2020, Vol 17, Issue 1
Abstract
Service recommendation systems are an effective method for predicting user preference for services. Of late collaborative filtering based methods are popularly used for service recommendation. A similarity computation based on QoS is used, where attribute values between users or items is compared. The service recommendation system is also improvised by utilizing the QoS attributes and response time to predict the unknown value.
Authors and Affiliations
S. Aruna and P. Abinaya
Keywords
Related Articles
- EP ID EP687849
- DOI 10.14704/WEB/V17I1/WEB17001
- Views 224
- Downloads 0
Internet and Social Media Addiction
This book is a fruitful discussion of the Internet and social media addiction in the digital era. It includes informative and impressive facts about this issue. It clarifies the consequences of the extreme usage of Inter...
Folks Thesauri or Search Thesauri: Why Semantic Search Engines Need Folks Thesauri?
The term ‘folks thesaurus’ was coined as a combination of ‘folks’ and ‘thesaurus’. A folks thesaurus puts terms into context by defining a variety of semantic relationships among the thesaurus terms. The objective of thi...
YouTube in scientific research: A bibliometric analysis
YouTube has become the object of scientific research in different subject areas. This study aims to provide an overview of the citation rate of YouTube since its launch in February 2005, based on the Scopus citation data...
Information Seeking Behaviour of Faculty Members of Rajabhat Universities in Bangkok
This article reports the results of a study of the information seeking behaviour of faculty members of Rajabhat Universities in Bangkok, Thailand. Data were collected by using a questionnaire from seven faculties in Raja...
Ergonomics of usability/accessibility-ready websites: Tools and guidelines
The 'user-friendliness' of a website indicates to what extent it is easy for all intended users to interact with website to perform their required task(s). Given the explosive growth in the use of computerized systems as...