Add to ORKGThis paper presents a novel problem of route recommendation which guides the user through a series of locations. The recommendation is made by matching the user's current route with the set of popular route patterns. Sequential pattern mining methods are used to extract the popular route patterns from a large set of historical route records from previous users. An application with real requirements – the Bar Tour Guide – is used to demonstrate the effectiveness of the proposed solution
Abstract—Classification has been used for modeling many kinds of data sets, including sets of items,...
The increasing popularity of tourist generated content has created abundant opportunities for people...
Abstract To solve the problem of low accuracy of traditional travel route recommendation algorithm, ...
This paper proposes a novel solution of route recommendation which makes recommendations of potentia...
We have a great discussion in the 20 minutes presentation, there are four questions and comments: 1...
In this work, we aim to collectively recommend traveling paths by leveraging the check-in data throu...
Travel route preferences can strongly interact with the events that happened in networked traveling,...
With the popularity of positioning devices, Web 2.0 technology, and trip sharing services, many user...
While searching a visit place, users invariably have specific preferences concerning their visits ra...
A recommender system is currently applied in many different domains, seeking to provide users with r...
The booming industry of location-based services has accumulated a huge collection of users' location...
A large number of geo-tagged photos become available online due to the advances in geo-tagging servi...
Geotagged photos on social media like Flickr explicitly indicate the trajectories of tourists. They ...
With the popularity of social media such as Facebook and Flicker, users can easily share their regis...
The discovery of route patterns from trajectory data generated by moving objects is an essential pro...
Abstract—Classification has been used for modeling many kinds of data sets, including sets of items,...
The increasing popularity of tourist generated content has created abundant opportunities for people...
Abstract To solve the problem of low accuracy of traditional travel route recommendation algorithm, ...
This paper proposes a novel solution of route recommendation which makes recommendations of potentia...
We have a great discussion in the 20 minutes presentation, there are four questions and comments: 1...
In this work, we aim to collectively recommend traveling paths by leveraging the check-in data throu...
Travel route preferences can strongly interact with the events that happened in networked traveling,...
With the popularity of positioning devices, Web 2.0 technology, and trip sharing services, many user...
While searching a visit place, users invariably have specific preferences concerning their visits ra...
A recommender system is currently applied in many different domains, seeking to provide users with r...
The booming industry of location-based services has accumulated a huge collection of users' location...
A large number of geo-tagged photos become available online due to the advances in geo-tagging servi...
Geotagged photos on social media like Flickr explicitly indicate the trajectories of tourists. They ...
With the popularity of social media such as Facebook and Flicker, users can easily share their regis...
The discovery of route patterns from trajectory data generated by moving objects is an essential pro...
Abstract—Classification has been used for modeling many kinds of data sets, including sets of items,...
The increasing popularity of tourist generated content has created abundant opportunities for people...
Abstract To solve the problem of low accuracy of traditional travel route recommendation algorithm, ...