Location and activity recommendation by using consecutive itinerary matching model

Jiun Shian Liu, Wen Hsiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In fact, most people have had the experience that they haven't made detailed itinerary in advance before a journey, and as a result they don't know what place or what kind of activity is suitable as the next visit location and activity after they engage in an activity in a certain place. To alleviate such problem, in this paper, we proposed the Consecutive Itinerary Matching Model to help mobile users find next locations and activities in line with their leisure needs. This model effectively utilizes time, location, user, and activity as features to find the most possible “Consecutive Itinerary” and then recommend mobile users next locations and activities. In this preliminary study, although our approach achieved only about 30% top-1 inclusion rate, however, to our knowledge, this work is novel for the recommendation of location and activity based on consecutive itinerary discovery from check-in data.

Original languageEnglish
Title of host publicationProceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages288-301
Number of pages14
ISBN (Electronic)9789573079262
Publication statusPublished - 2013 Oct 1
Event25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 - Kaohsiung, Taiwan
Duration: 2013 Oct 42013 Oct 5

Publication series

NameProceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013

Conference

Conference25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
CountryTaiwan
CityKaohsiung
Period13-10-0413-10-05

All Science Journal Classification (ASJC) codes

  • Speech and Hearing
  • Language and Linguistics

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  • Cite this

    Liu, J. S., & Lu, W. H. (2013). Location and activity recommendation by using consecutive itinerary matching model. In Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 (pp. 288-301). (Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).