Annual Conference of KIPS (한국정보처리학회:학술대회논문집)

  • 2015.10a
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  • Pages.1281-1284
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  • 2015
  • /
  • 2005-0011(pISSN)
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  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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CYTRIP: A Multi-day Trip Planning System based on Crowdsourced POIs Recommendation

CYTRIP: 크라우드 소싱을 이용한 POI 추천 기반의 여행 플래닝 시스템

  • Aprilia, Priska (Dept. of Computer Science & Information Engineering, Inha University) ;
  • Oh, Kyeong-Jin (Dept. of Computer Science & Information Engineering, Inha University) ;
  • Hong, Myung-Duk (Dept. of Computer Science & Information Engineering, Inha University) ;
  • Jo, Geun-Sik (School of Computer Science & Information Engineering, Inha University)
  • 프리스카 (인하대학교 컴퓨터정보공학과) ;
  • 오경진 (인하대학교 컴퓨터정보공학과) ;
  • 홍명덕 (인하대학교 컴퓨터정보공학과) ;
  • 조근식 (인하대학교 컴퓨터정보공학과)
  • Published : 2015.10.28
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Abstract

Multi-day trip itinerary planning is complex and time consuming task, from selecting a list of worth visiting POIs to arranging them into an itinerary with various constraints and requirements. In this paper, we present CYTRIP, a multi-day trip itinerary planning system that engages human computation (i.e. crowd recommendation) to collaboratively recommend POIs by providing a shared workspace. CYTRIP takes input the collective intelligence of crowd (i.e. recommended POIs) to build a multi-day trip itinerary taking into account user's preferences, various time constraints and locations. Furthermore, we explain how we engage crowd in our system. The planning problem and domain are formulated as AI planning using PDDL3. The preliminary empirical experiments show that our domain formulation is applicable to both single-day and multi-day trip planning.

Keywords