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篇名 |
Utility Mining-based Point-of-Interest Paths Recommendation Using SNS Posts in Pervasive Social Environments
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並列篇名 | Utility Mining-based Point-of-Interest Paths Recommendation Using SNS Posts in Pervasive Social Environments |
作者 | Mye Sohn、Jongmo Kim、Sunghwan Jeong、Hyun Jung Lee |
英文摘要 | In this paper, we propose a point-of-interest (POI) paths recommendation method for SNS-savvy travelers, called a Utility Mining-based POI Path Recommendation (UMPOIR) framework. To recommend the best POI paths depending on the traveler’s context, UMPOIR framework considers the popularity and the personal preferences for the POIs. Furthermore, it reflects not only the current context of the traveler, but also the experience of the publishers who visited there. So, it calculates the utility of the candidate POIs and their paths. After this, the utility is refined by the popularity of the POIs, the traveler’s personal preferences, and the temporal factors. To evaluate the performance, we conducted experiments to measure the adequacy and the degree of satisfaction. We proved that UMPOIR framework can improve the recommendations’ adequacy and the degree of satisfaction with the recommendations. |
起訖頁 | 1383-1392 |
關鍵詞 | Photo-centric SNS、POI path recommendation、Utility calculation、Context、 Pervasive social computing |
刊名 | 網際網路技術學刊 |
期數 | 201809 (19:5期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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