Abstract | ||
---|---|---|
In recent years, the growth of the travel industry has been astounding. Yet, it is still not easy for an individual to have a meaningful travel experience even, so vast amounts of information are available on the web. As an attempt to support travel decisionmaking and improve visitoru0027s experience, we designed Where2. Where2 is a location-based mobile app that highlights Points of Interest (POI) customized to touristu0027s travel- related attributes (e.g. the length of their stay). POIs are in-situ recommendations proposed as Ghost Paths journeys - the idea that you can follow a prior tourist shoes to explore the city. We generate Ghost Paths journeys by using a non-intrusive positioning system that captures prior touristsu0027 Wi-Fi signal and detect their journeys across the city. With this system our goal is to support visitors with their travel decisions and nudge them towards optimal journey choices that maximize their utilities. |
Year | Venue | Field |
---|---|---|
2018 | ECCE | Recommender system,World Wide Web,Mobile app,Tourism,Control engineering,Engineering,Behavioral economics,Point of interest,Visitor pattern,Positioning system |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
17 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ana Karina Caraban | 1 | 19 | 5.83 |
Sara Tranquada | 2 | 0 | 0.34 |
Stephanie Liao | 3 | 0 | 0.34 |
Greicy Ks | 4 | 0 | 0.34 |
Johannes Schöning | 5 | 1145 | 87.96 |
Pedro Campos | 6 | 41 | 13.78 |