Title: Ubiquitous crowdsourcing model for fuzzy information enrichment of tourist spot recommender system

Authors: Sunita Tiwari; Saroj Kaushik

Addresses: G.B. Pant Engineering College, IIT Delhi, India ' Indian Institute of Science and Technology, Delhi, India

Abstract: The proposed research aims to integrate contextual information with tourist spot recommender system. Ubiquitous crowdsourcing model has been used for collecting the contextual information using fuzzy linguistic values in current time. The existing tourist spot recommender systems give list tourist spots along with their ratings. Proposed model takes this list as an input and the current fuzzy contextual information collected from crowd present at the spot and computes a new score for each spot/location. This new score not only conveys the popularity of a spot in vicinity but also advices whether this spot is worth visiting at given point in time. A prototype system has been implemented using java and MATLAB and is evaluated by 104 real users.

Keywords: location aware recommender systems; information enrichment; crowdsourcing; tourism information; fuzzy inference; fuzzy information; tourist spots; recommendation systems; contextual information; fuzzy linguistic values; location awareness.

DOI: 10.1504/IJBIDM.2016.082215

International Journal of Business Intelligence and Data Mining, 2016 Vol.11 No.4, pp.299 - 317

Received: 28 Feb 2016
Accepted: 18 Oct 2016
Published online: 12 Feb 2017 *

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