Recommendation system for trip planning

Marko Hlupič (2011) Recommendation system for trip planning. EngD thesis.

Abstract

The thesis describes a web application used for recommending tourist destinations and trip planning. Given that one location offers several tourist attractions and activities, the destination is divided into a location, containing only the name and the corresponding region, and the possible activity that could take place in that location. The users choose some activities and later on decide whether these locations met their expectations or not. The application is divided into two parts: the first part, where we recommend locations and activities to users who are not registered, and the second part, intended for recommending locations to registered users. Since we do not have any information about the unregistered user, the activities can only be suggested to him or her based on the criteria that the user chooses on the website; whereas to the registered user, we are able to recommend also the activities that other users have visited, i.e. the ones that we know the user in question has not yet visited.

Item Type:

Thesis (EngD thesis)

Keywords:

recommendation systems, collaborative ﬁltering, kNN algorithm

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Janez Demšar	257	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00008397140)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

1354

Date Deposited:

09 May 2011 09:44

Last Modified:

13 Aug 2011 00:39

URI:

http://eprints.fri.uni-lj.si/id/eprint/1354

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