We enhance a tourist trip planning framework based on orienteering with category constraints by adding social sensing. This allows us to customize a user's experience without putting the burden of preference elicitation on the user. We identify the interests of a user by analyzing their Tweets and then match these interests to descriptions of points of interests. For this analysis we adapt different schemes for social sensing to the needs of our orienteering context and compare them to find the most suitable approach. We show that our technique is fast enough for use in real-time dynamic settings and also has a higher accuracy compared to previous approaches. Additionally, we integrate a more efficient algorithm for solving the orienteering problem, boosting the overall performance and utility of our framework further, as demonstrated by the positive user satisfaction received by real users.

Persia, F., Pilato, G., Ge, M., D'Auria, D., Helmer, S. (2020). Improving orienteering-based tourist trip planning with social sensing. FUTURE GENERATION COMPUTER SYSTEMS, 110(September 2020), 931-945 [10.1016/j.future.2019.10.028].

Improving orienteering-based tourist trip planning with social sensing

D'Auria D;
2020

Abstract

We enhance a tourist trip planning framework based on orienteering with category constraints by adding social sensing. This allows us to customize a user's experience without putting the burden of preference elicitation on the user. We identify the interests of a user by analyzing their Tweets and then match these interests to descriptions of points of interests. For this analysis we adapt different schemes for social sensing to the needs of our orienteering context and compare them to find the most suitable approach. We show that our technique is fast enough for use in real-time dynamic settings and also has a higher accuracy compared to previous approaches. Additionally, we integrate a more efficient algorithm for solving the orienteering problem, boosting the overall performance and utility of our framework further, as demonstrated by the positive user satisfaction received by real users.
Articolo in rivista - Articolo scientifico
Orienteering; Semantic mapping; Semantic similarity; Social sensing;
English
30-ott-2019
2020
110
September 2020
931
945
none
Persia, F., Pilato, G., Ge, M., D'Auria, D., Helmer, S. (2020). Improving orienteering-based tourist trip planning with social sensing. FUTURE GENERATION COMPUTER SYSTEMS, 110(September 2020), 931-945 [10.1016/j.future.2019.10.028].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/468721
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