Personalized itinerary recommendation with queuing time awareness
Personalized itinerary recommendation is a complex and time-consuming problem, due to
the need to recommend popular attractions that are aligned to the interest preferences of a …
the need to recommend popular attractions that are aligned to the interest preferences of a …
Social bridges in urban purchase behavior
The understanding and modeling of human purchase behavior in city environment can have
important implications in the study of urban economy and in the design and organization of …
important implications in the study of urban economy and in the design and organization of …
Unifying virtual and physical worlds: Learning toward local and global consistency
Event-based social networking services, such as Meetup, are capable of linking online
virtual interactions to offline physical activities. Compared to mono online social networking …
virtual interactions to offline physical activities. Compared to mono online social networking …
Personalized location recommendation by aggregating multiple recommenders in diversity
Location recommendation is an important feature of social network applications and location-
based services. Most existing studies focus on developing one single method or model for …
based services. Most existing studies focus on developing one single method or model for …
Personalized recommendation for online social networks information: Personal preferences and location-based community trends
S Khater, D Gračanin… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Microblogs, such as Twitter, are a way for users to express their opinions or share pieces of
interesting news by posting relatively short messages (corpus) compared with the regular …
interesting news by posting relatively short messages (corpus) compared with the regular …
Tweet geolocation: Leveraging location, user and peer signals
WH Chong, EP Lim - Proceedings of the 2017 ACM on Conference on …, 2017 - dl.acm.org
Which venue is a tweet posted from? We referred this as fine-grained geolocation. To solve
this problem effectively, we develop novel techniques to exploit each posting user's content …
this problem effectively, we develop novel techniques to exploit each posting user's content …
Explainable recommendation: Theory and applications
Y Zhang - arXiv preprint arXiv:1708.06409, 2017 - arxiv.org
Although personalized recommendation has been investigated for decades, the wide
adoption of Latent Factor Models (LFM) has made the explainability of recommendations a …
adoption of Latent Factor Models (LFM) has made the explainability of recommendations a …
Personalization and context-awareness in social local search: State-of-the-art and future research challenges
F Gasparetti - Pervasive and Mobile Computing, 2017 - Elsevier
Location-based services (LBS) are now the platforms for aggregating relevant information
about users and understanding their mobile behavior and preferences based on the location …
about users and understanding their mobile behavior and preferences based on the location …
ST-SAGE: A spatial-temporal sparse additive generative model for spatial item recommendation
With the rapid development of location-based social networks (LBSNs), spatial item
recommendation has become an important mobile application, especially when users travel …
recommendation has become an important mobile application, especially when users travel …
-in-One: A Novel Location-Based Service
Location-based services (LBSs) are becoming an increasingly important component in our
social and business life. All existing LBS providers support the nearest place searching via a …
social and business life. All existing LBS providers support the nearest place searching via a …