With the popularity of Internet of Things (IoT), Point‐of‐Interest (POI) recommendation has
become an important application for location‐based services (LBS). Meanwhile, there is an …

Building effective recommender systems for domains like fashion is challenging due to the
high level of subjectivity and the semantic complexity of the features involved (ie, fashion …

Point-of-interest (POI) recommendation has become an important way to help people
discover attractive and interesting places, especially when they travel out of town. However …

Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …

With the prevalent trend of combining online and offline interactions among users in event-
based social networks (EBSNs), event recommendation has become an essential means to …

Urban functions refer to the purposes of land use in cities where each zone plays a distinct
role and cooperates with each other to serve people's various life needs. Understanding …

Abstract Point-of-interest (POI) recommendation helps users quickly filter out irrelevant POI
by considering the spatio-temporal factor. In this paper, we address the problem of check-in …

With the popularity of Location-based Social Networks, Point-of-Interest (POI)
recommendation has become an important task, which learns the users' preferences and …

Learning urban community structures refers to the efforts of quantifying, summarizing, and
representing an urban community's (i) static structures, eg, Point-Of-Interests (POIs) …

Abstract Point-of-interest (POI) recommendations can help users effectively explore new
locations according to their preferences, which is an important research aspect for location …