Recommendation algorithm of the app store by using semantic relations between apps

Title
Recommendation algorithm of the app store by using semantic relations between apps
Authors
강상길
Keywords
App · Attributes · Mobile · Ontology · Recommendation · Semantic relation · Social members
Issue Date
2013
Publisher
JOURNAL OF SUPERCOMPUTING
Series/Report no.
JOURNAL OF SUPERCOMPUTING ; Vol65 no.1 Startpage 16 Endpage 26
Abstract
In this paper, we propose a personalized recommendation system for mobile application software (app) to mobile user using semantic relations of apps consumed by users. To do that, we define semantic relations between apps consumed by a specific member and his/her social members using Ontology. Based on the relations, we identify the most similar social members from the reasoning process. The reasoning is explored from measuring the common attributes between apps consumed by the target member and his/her social members. The more attributes shared by them, the more similar is their preference for consuming apps.We also develop a prototype of our system using OWL (Ontology Web Language) by defining ontology-based semantic relations among 50 mobile apps. Using the prototype, we showed the feasibility of our algorithm that our recommendation algorithm can be practical in the real field and useful to analyze the preference of mobile user.
URI
http://dspace.inha.ac.kr/handle/10505/33504
ISSN
0920-8542
Appears in Collections:
College of Engineering(공과대학) > Computer Engineering (컴퓨터공학) > Journal Papers, Reports(컴퓨터정보공학 논문, 보고서)
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