Scipediacontent: Scipediacontent moved page Draft Content 671422216 to Delmastro et al 2016a

2021-02-03T20:56:02Z

Scipediacontent moved page Draft Content 671422216 to Delmastro et al 2016a

Scipediacontent: Created page with " == Abstract == Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers w..."

2021-02-03T20:55:59Z

Created page with " == Abstract == Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers w..."

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== Abstract ==

Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers with similar itineraries and time schedules. A number of car pooling matching services have been designed in order to efficiently find successful ride matches in a given pool of drivers and potential passengers. However, it is now recognised that many non-monetary aspects and social considerations, besides simple mobility needs, may influence the individual willingness of sharing a ride, which are difficult to predict. To address this problem, in this study we propose GoTogether, a recommender system for car pooling services that leverages on learning-to-rank techniques to automatically derive the personalised ranking model of each user from the history of her choices (i.e., the type of accepted or rejected shared rides). Then, GoTogether builds the list of recommended rides in order to maximise the success rate of the offered matches. To test the performance of our scheme we use real data from Twitter and Foursquare sources in order to generate a dataset of plausible mobility patterns and ride requests in a metropolitan area. The results show that the proposed solution quickly obtain an accurate prediction of the personalised user's choice model both in static and dynamic conditions.

== Original document ==

The different versions of the original document can be found in:

* [http://puma.isti.cnr.it/rmydownload.php?filename=cnr.iit/cnr.iit/2016-A2-008/2016-A2-008.pdf http://puma.isti.cnr.it/rmydownload.php?filename=cnr.iit/cnr.iit/2016-A2-008/2016-A2-008.pdf]

* [http://xplorestaging.ieee.org/ielx7/7784515/7795515/07795857.pdf?arnumber=7795857 http://xplorestaging.ieee.org/ielx7/7784515/7795515/07795857.pdf?arnumber=7795857],
: [http://dx.doi.org/10.1109/itsc.2016.7795857 http://dx.doi.org/10.1109/itsc.2016.7795857]

* [https://dblp.uni-trier.de/db/conf/itsc/itsc2016.html#CampanaDB16 https://dblp.uni-trier.de/db/conf/itsc/itsc2016.html#CampanaDB16],
: [https://ieeexplore.ieee.org/document/7795857 https://ieeexplore.ieee.org/document/7795857],
: [http://ieeexplore.ieee.org/document/7795857 http://ieeexplore.ieee.org/document/7795857],
: [https://academic.microsoft.com/#/detail/2567211816 https://academic.microsoft.com/#/detail/2567211816]

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Delmastro et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 671422216 to Delmastro et al 2016a

Scipediacontent: Created page with " == Abstract == Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers w..."