A Tourism Recommender System Based on Location and Semantic Web

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Hoshyar Asghar; Sabzekar Mostafa

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

A Tourism Recommender System Based on Location and Semantic Web

Author(s)

Hoshyar Asghar | Sabzekar Mostafa

Keywords

Tourism Recommender System

Semantic Web

Text Analysis

Emotion Analysis

Abstract

Tourism is one of the most important industries in the world. It plays an important role in the cultural and economic prosperity of countries. Therefore, the design and production of tourism recommendation systems has become one of the most popular topics for researchers in order to satisfy tourists. In this paper, a tourism recommendation system is proposed. In this system, tourists' interests are extracted by semantics using word clustering and Emotion Analysis. Finally, recommendations based on the interests of tourists are presented to them. The evaluation results of the proposed system provide high values in the evaluation criteria.

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APA: Copy

Hoshyar, Asghar, & Sabzekar, Mostafa. (2020). A Tourism Recommender System Based on Location and Semantic Web. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949277/en

Vancouver: Copy

Hoshyar Asghar, Sabzekar Mostafa. A Tourism Recommender System Based on Location and Semantic Web. 2020. Available from: https://sid.ir/paper/949277/en

IEEE: Copy

Asghar Hoshyar, and Mostafa Sabzekar, “A Tourism Recommender System Based on Location and Semantic Web,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949277/en

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