e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Feb 2020 - Volume 11, Issue 1
Deadline: 15 Jan 2020
Notification: 15 Feb 2020
Publication: 28 Feb 2020

Feb 2020 - Volume 11, Issue 1
Deadline: 15 Mar 2020
Notification: 15 Apr 2020
Publication: 29 Apr 2020

Indexed in

IJCSE Indexed in Scopus

ABSTRACT

Title : A NOVEL CLASSIFICATION APPROACH OF TRAVEL REVIEW DATASET BASED ON ENTERTAINMENT
Authors : Dr.Ayyappan.G, Dr.A.Kumaravel
Keywords : Recommender Systems, Clustering Algorithms, Travel and Tourism, Cluster Evaluation
Issue Date : Jun-Jul 2019
Abstract :
Recommender systems are evolving as an essential part of every industry with no exception to travel and tourism segment. Considering the exponential increase in social media usage and huge volume of data being generated through this channel, it can be considered as a vital source of input data for modern recommender systems. This in turn resulted in the need of efficient and effective mechanisms for contextualized information retrieval. Traditional recommender systems adopt collaborative filtering techniques to deal with social context. However they turn out to be computational intensive and thereby less scalable with internet and social media as input channel. A possible solution is to adopt clustering techniques to limit the data to be considered for recommendation process. In tourism context, based on social media interactions like reviews, forums, blogs, feedbacks, etc. travelers can be clustered to form different interest groups. This experimental analysis aims at comparing key clustering algorithms with the aim of finding an optimal option that can be adopted in tourism domain by applying social media datasets from travel and tourism context.
Page(s) : 54-57
ISSN : 0976-5166
Source : Vol. 10, No.3
PDF : Download
DOI : 10.21817/indjcse/2019/v10i2/191002012