Correlated Topic Model for Web Services Ranking
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 6
Abstract
With the increasing number of published Web services providing similar functionalities, it’s very tedious for a service consumer to make decision to select the appropriate one according to her/his needs. In this paper, we explore several probabilistic topic models: Probabilistic Latent Semantic Analysis (PLSA), Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) to extract latent factors from web service descriptions. In our approach, topic models are used as efficient dimension reduction techniques, which are able to capture semantic relationships between word-topic and topic-service interpreted in terms of probability distributions. To address the limitation of keywords-based queries, we represent web service description as a vector space and we introduce a new approach for discovering and ranking web services using latent factors. In our experiment, we evaluated our Service Discovery and Ranking approach by calculating the precision (P@n) and normalized discounted cumulative gain (NDCGn).
Authors and Affiliations
Mustapha AZNAG, Mohamed QUAFAFOU, Zahi JARIR
Keywords
Related Articles
- EP ID EP87536
- DOI 10.14569/IJACSA.2013.040637
- Views 96
- Downloads 0
An Empirical Investigation of the Correlation between Package-Level Cohesion and Maintenance Effort
The quality of the software design has a considerable impact on software maintainability. Improving software quality can reduce costs and efforts of software maintenance. Cohesion, as one of software quality characterist...
Intelligent System for Detection of Micro-Calcification in Breast Cancer
Recently; medical image mining has become one of the well-recognized research area(s) of machine learning and artificial intelligence techniques have been vastly used in various computer added diagnostic systems. Specifi...
Cloud Computing: Pricing Model
Cloud computing is the elemental aspect for online security of computing resources. It helps on-demand dividing of resources and cost between a major number of end users. It provides end users to process, manage, and sto...
Global Citation Impact rather than Citation Count
The progressing bloom in the tome of scientific literature available today debars researchers from efficiently shrewd the relevant from irrelevant content. Researchers are persistently engrossed in impactful papers, auth...
Mapping of Independent Tasks in the Cloud Computing Environment
Cloud computing is a technology that provides many resources and facility to share data. Due to the concept of open environment in the cloud computing the request or data increases quickly. So this problem can be solved...