文献类型：期刊文献

英文题名：Personalized recommendation of mobile tourism: A multidimensional user model

作者：Wei, Meihua[1]; Ma, Ling[1]; Chang, Wei[1]

机构：[1] School of Business, East China University of Science and Technology, Shanghai, China

年份：2014

外文期刊名：Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014

收录：EI(收录号：20151800807979)

语种：英文

外文关键词：Recommender systems - Big data

摘要：With rapid advances in e-business and mobile technology, the personalized recommendation of mobile tourism becomes a critical issue for both researchers and practitioners. The big data, problems of new users and similar recommendations remain barriers for mobile tourism. Through a large dataset gathered by questionnaires, this paper develops a novel multidimensional user model from the perspective of context. The dimensions of our model include several factors: Historical behaviour, context and demographic feature of users. To make a better understanding of the model, a case study was adopted. Besides, an experiment is also conducted to evaluate the performance of the proposed model. As a conclusion, limitations and future researches are discussed.