Location and activity recommendation by using consecutive itinerary matching model

Jiun Shian Liu, Wen Hsiang Lu

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面288-301
頁數14
ISBN(電子)9789573079262
出版狀態Published - 2013 10月 1
事件25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 - Kaohsiung, Taiwan
持續時間: 2013 10月 42013 10月 5

出版系列

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

Conference

Conference25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
國家/地區Taiwan
城市Kaohsiung
期間13-10-0413-10-05

All Science Journal Classification (ASJC) codes

  • 言語和聽力
  • 語言與語言學

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