Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/poster/97> ?p ?o. }
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- 97 creator cheng-te-li.
- 97 creator hsun-ping-hsieh.
- 97 creator shou-de-lin.
- 97 type InProceedings.
- 97 label "TripRec: Recommending Trip Routes from Large Scale Check-in Data in Location-based Services".
- 97 sameAs 97.
- 97 abstract "With location-based services, such as Foursquare and Gowalla, users can easily perform check-in actions anywhere and anytime. Such check-in data not only enables personal geospatial journeys but also serves as a fine-grained source for trip planning. In this work, we aim to collectively recommend trip routes by leveraging a large-scaled check-in data through mining the moving behaviors of users. A novel recommendation system, TripRec, is developed. TripRec not only allows users to specify starting/end and/or must-go locations, but also provide the flexibility of the time constraint requirement (i.e., the expected duration of the trip). By considering a sequence of check-in points as a route, we mine the frequent sequences with some ranking mechanism to achieve the goal. Our TripRec targets at travelers who are unfamiliar to the objective area/city and have time limitation in the trip.".
- 97 hasAuthorList authorList.
- 97 isPartOf proceedings.
- 97 isPartOf proceedings.
- 97 keyword "check-in data".
- 97 keyword "location-based services".
- 97 keyword "route recommendation".
- 97 keyword "sequence mining".
- 97 keyword "trip planning".
- 97 title "TripRec: Recommending Trip Routes from Large Scale Check-in Data in Location-based Services".