Thesis / Dissertation

Context-Aware Recommendations for Point-of-Interests

Jiayuan He, Jianzhong Qi (ed.)

Published : 2020


The rapidly growing location-based social networks allow web users to check-in at point- of-interests (POIs) and share their check-ins with the public. The large amount of web breadcrumbs left by users has enabled researchers to investigate human mobility patterns, which opens new research opportunities for incorporating better personalization into location-based services. In general, two types of recommendation tasks have been extensively investigated. The first type is POI recommendation which aims to provide a ranking list of POIs according to their attractiveness to a user. The second type is trip recommendation which aims to suggest an itinerary, i.e., an ordered sequence of POIs, for u..

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