context-aware travel recommender system exploiting from Geo-tagged photos

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mohamadrezaei larki rezvan; Ravanmehr Reza; Amrolahi milad

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Journal Paper

Paper Information

Journal: IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY Year:2020 | Volume:11 | Issue:41-42 Page(s): 75-96

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Title

context-aware travel recommender system exploiting from Geo-tagged photos

Author(s)

mohamadrezaei larki rezvan | Ravanmehr Reza | Amrolahi milad | Issue Writer Certificate

Keywords

context aware recommender systemQ1

travel recommender systemQ1

contextQ1

Colonial Competitive AlgorithmQ1

fuzzy clusteringQ1

Abstract

Recommender systems are the systems that help users find and select their target items. Most of the available events for recommender systems are focused on recommending the most relevant items to the users and do not include any context information such as time, location. This paper is presented by the use of geographically tagged photo information which is highly accurate. The distinction point between this thesis and other similar articles is that this paper includes more context (weather conditions, users’ mental status, traffic level, etc. ) than similar articles which include only time and location as context. This has brought the users close to each other in a cluster and has led to an increase in the accuracy. The proposed method merges the Colonial Competitive Algorithm and fuzzy clustering for a better and stronger processing against using merely the classic clustering and this has increased the accuracy of the recommendations. Flickr dataset is used to evaluate the presented method. Results of the evaluation indicate that the proposed method can provide location recommendations proportionate to the users’ preferences and their current visiting location.

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APA: Copy

mohamadrezaei larki, rezvan, Ravanmehr, Reza, & Amrolahi, milad. (2020). context-aware travel recommender system exploiting from Geo-tagged photos. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, 11(41-42 ), 75-96. SID. https://sid.ir/paper/370381/en

Vancouver: Copy

mohamadrezaei larki rezvan, Ravanmehr Reza, Amrolahi milad. context-aware travel recommender system exploiting from Geo-tagged photos. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY[Internet]. 2020;11(41-42 ):75-96. Available from: https://sid.ir/paper/370381/en

IEEE: Copy

rezvan mohamadrezaei larki, Reza Ravanmehr, and milad Amrolahi, “context-aware travel recommender system exploiting from Geo-tagged photos,” IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, vol. 11, no. 41-42 , pp. 75–96, 2020, [Online]. Available: https://sid.ir/paper/370381/en

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