期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2018
卷号：7
期号：3
页码：238-245
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The World Wide Web drags out to develop with tremendous size and multifaceted nature alongside of numerous applications. For the clients of these application progresses toward becoming tedious and hard to acquire the data they are searching so for. Such sort of user interfaces could assist them to discover the data understanding with their interests by tweaking these applications. This paper provides the suggestion of travel sequence route packages based on the preferences of user’s point of interest which is associated with geographical location and tags using route mining algorithm. And after that the non illustrious and natural travel course suggestions are recommended by authentic travel records of comparable clients in the group.In order to find the user’s interests, their queries and tagging information is integrated with this approach. In this methodology, a similarity vector space model contains the information about travel sequence packages and user desired route packages are represented in such a way that the packages are suggested to the users based on the similarity. The scope of this study is to achieving the scalability and high accuracy in suggesting route travel sequence packages. Suggesting the Point Of Interest (POI) route travel package sequence with season and timing is focused on this work.
