TY - GEN
T1 - Integrating route attractiveness attributes into tourist trip recommendations
AU - Herzog, Daniel
AU - Sikander, Sherjeel
AU - Worndl, Wolfgang
N1 - Publisher Copyright:
� 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY-NC-ND 4.0 License.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - Tourist trip recommender systems (RSs) support travelers in identifying the most attractive points of interest (POIs) and combine the POIs along a route for single- or multi-day trips. Most RSs consider only the quality of POIs when searching for the best recommendation. In this work, we introduce a novel approach that also considers the attractiveness of the routes between POIs. For this purpose, we identify a list of important attributes of route attractiveness and explain how to implement our approach using three exemplary attributes. We develop a web application for demonstration purposes and apply it in a small preliminary user study with 16 participants. The results show that the integration of route attractiveness attributes makes most people choose the more attractive route over the shortest path between two POIs. This paper highlights how tourist trip RSs can support smart tourism. Our work aims to encourage further discussion on collecting and providing environmental data in cities to enable such applications.
AB - Tourist trip recommender systems (RSs) support travelers in identifying the most attractive points of interest (POIs) and combine the POIs along a route for single- or multi-day trips. Most RSs consider only the quality of POIs when searching for the best recommendation. In this work, we introduce a novel approach that also considers the attractiveness of the routes between POIs. For this purpose, we identify a list of important attributes of route attractiveness and explain how to implement our approach using three exemplary attributes. We develop a web application for demonstration purposes and apply it in a small preliminary user study with 16 participants. The results show that the integration of route attractiveness attributes makes most people choose the more attractive route over the shortest path between two POIs. This paper highlights how tourist trip RSs can support smart tourism. Our work aims to encourage further discussion on collecting and providing environmental data in cities to enable such applications.
KW - Environmental Data
KW - Recommender System
KW - Route Attractiveness
KW - Tourist Trip Design Problem
KW - User Study
UR - http://www.scopus.com/inward/record.url?scp=85066916202&partnerID=8YFLogxK
U2 - 10.1145/3308560.3317052
DO - 10.1145/3308560.3317052
M3 - Conference contribution
AN - SCOPUS:85066916202
T3 - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
SP - 96
EP - 101
BT - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
PB - Association for Computing Machinery, Inc
T2 - 2019 World Wide Web Conference, WWW 2019
Y2 - 13 May 2019 through 17 May 2019
ER -