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The Development of Folklore Tourism Integrating the Function Differentiation Model of Folklore Culture

机译:融合民俗文化功能差异模型的民俗旅游开发

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With the rapid development of folklore tourism (Folklore Tourism, FT), folklore tourism development (Development of folklore tourism, DFT) has become an important research hotspot which is aimed at helping people find interesting and attractive spots, especially when users travel outside hometown. To rise to the challenges above, I propose the Function Differentiation Model of Folklore Culture (FDMFC) in this paper to stimulate the users' performance characteristics of the decision-making process. The model can integrate the factors above effectively to cope with the data's sparseness especially in the off-site recommended scenarios. The development method of folklore tourism in this paper includes off-line model and online recommendation, two parts. The experiments were done on the self-performance data set of real Ts with large scale and its results show that this method has better recommendation results than other advanced folklore tourism development algorithms.
机译:随着民俗旅游(民俗旅游,FT)的飞速发展,民俗旅游发展(民俗旅游的发展,DFT)已成为重要的研究热点,旨在帮助人们找到有趣的景点,尤其是当用户外出旅游时。为了应对上述挑战,本文提出了民俗文化功能差异模型(FDMFC),以激发用户决策过程中的绩效特征。该模型可以有效地整合上述因素,以应对数据的稀疏性,尤其是在非现场推荐的情况下。本文的民俗旅游开发方法包括离线模型和在线推荐两部分。在大规模的真实旅行社自我性能数据集上进行了实验,结果表明,该方法比其他先进的民俗旅游开发算法具有更好的推荐效果。

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