A COMPREHENSIVE STUDY ON EFFICIENT KEYWORD-AWARE REPRESENTATIVE TRAVEL ROUTE RECOMMENDATION

  • Ch Santhoshi, V.Thirupathi, Kanegonda Ravi Chythanya, Srinivas Aluvala, G. Sunil

Abstract

The last decade has seen the fast progression of service-oriented computer, causing a remarkable growth of services which even more requires unfamiliar strategies for efficient and helpful company referrals. Numerous types of records may be utilized for company suggestions, including customer feedback on solutions, service account, customer profile, and so on. In conventional suggestion algorithms, such records is actually normally dealt with independently and in the form of matrix. Given that there are rooting logical associations between the records, we presumption that deep-seated confluence of all the records as well as full considerations of such reasonable associations would certainly aid boost accuracy of service referrals. Through a thorough questionnaire on a variety of existing data confluence methods, our company discovered that know-how chart had actually been actually a normal method to describe the various relationships in between data. In this particular paper, we suggest an elegant, all-natural and also portable information symbol version incorporating such kinds of rational relations, such as Domain-oriented User as well as Service Interaction Knowledge Graph.

Published
2020-04-29
How to Cite
Ch Santhoshi, V.Thirupathi, Kanegonda Ravi Chythanya, Srinivas Aluvala, G. Sunil. (2020). A COMPREHENSIVE STUDY ON EFFICIENT KEYWORD-AWARE REPRESENTATIVE TRAVEL ROUTE RECOMMENDATION. International Journal of Advanced Science and Technology, 29(8s), 1800 - 1810. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/12741