A Framework For The Identification Of Significant Contexts In Tourism Domain

  • Chinta Venkata Mural Krishna , Dr.G.Appa Rao , Dr. S.AnuRadha

Abstract

The tourism industry has grown up to the maximum level from the last decade due to the affordable airline fares offered by many service providers. Growth of the tourism domain depends on how it satisfies the needs of all types of users who stay at hotels with various trip-types, primarily in the hotel sector. Many travel platforms nowadays are offering attractive tour packages throughout the year so that an ordinary person is also showing more interest in visiting new places. The socio-economic and cultural background of a customer plays a crucial for deciding in the selection of hotels from different classes. The selection of a specific hotel is made based on the reviews given by previous guests on the services availed. Users around the globe having different educational and cultural backgrounds, often want to stay in the hotel for various trip-types.The primary goal of any hotel administration is to fulfill the needs of versatile customers. The task of any travel platform is a tie-up with hotel management to collect the maximum number of reviews from all these types of customers naturally, and most comfortably. The majority of travel platforms will collect opinions from their users in a textual form and analyze them by using Content-based recommender systems. Users from ordinary educational backgrounds may feel difficult while expressing the opinions in textual form even in their native language during their stay. Hence, we are using a Context-aware model to collect opinions in a better manner.Context-aware or Multi-Criteria recommender systems are one of the most straightforward approaches for collecting user opinions. In this approach, ratings will be collected in the form of contexts from all types of users in a simple manner with little time effort. The Multi-Criteria recommender system will provide the ratings of each context given by various users. The same context may rate differently by users based on the hotel class and trip-type. A significant challenge facing any travel platform is not only using the Multi-Criteria recommender systems to collect the opinions but also how effectively they analyze the significant contexts from the existing ones in the model. Many travel recommender platforms recommending either all the contexts or only a few of them, which depends on the hotel not considering the Trip-Types, also playing a significant role in the recommender model, along with hotel class.  The success glory of any travel platform depends on how it is merely collecting better opinions. The regression model used in this paper provides a framework for identifying the significant contexts which impact more on user overall satisfaction level from different classes of hotels and trip-types. This research helped the traveler platforms in the identification of significant contexts and put them in the recommender model to collect better user views.

Published
2020-05-12
How to Cite
Chinta Venkata Mural Krishna , Dr.G.Appa Rao , Dr. S.AnuRadha. (2020). A Framework For The Identification Of Significant Contexts In Tourism Domain. International Journal of Advanced Science and Technology, 29(7), 1007 - 1029. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/14961
Section
Articles