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Zero-shot multi-label topic inference with sentence encoders and llms
In this paper, we conducted a comprehensive study with the latest Sentence Encoders and
Large Language Models (LLMs) on the challenging task of “definition-wild zero-shot topic …
Large Language Models (LLMs) on the challenging task of “definition-wild zero-shot topic …
Personalized context-aware point of interest recommendation
Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
Multiobjective e-commerce recommendations based on hypergraph ranking
Recommender systems are emerging in e-commerce as important promotion tools to assist
customers to discover potentially interesting items. Currently, most of these are single …
customers to discover potentially interesting items. Currently, most of these are single …
Towards an integrated view of semantic annotation for POIs with spatial and textual information
Categories of Point of Interest (POI) facilitate location-based services from many aspects like
location search and POI recommendation. However, POI categories are often incomplete …
location search and POI recommendation. However, POI categories are often incomplete …
Ad-hoc monitoring of covid-19 global research trends for well-informed policy making
The COVID-19 pandemic has affected millions of people worldwide with severe health,
economic, social, and political implications. Healthcare Policy Makers (HPMs) and medical …
economic, social, and political implications. Healthcare Policy Makers (HPMs) and medical …
A spatial and adversarial representation learning approach for land use classification with POIs
Points-of-interests (POIs) have been proven to be indicative for sensing urban land use in
numerous studies. However, recent progress mainly relies on spatial co-occurrence patterns …
numerous studies. However, recent progress mainly relies on spatial co-occurrence patterns …
A collaborative learning framework to tag refinement for points of interest
Tags of a Point of Interest (POI) can facilitate location-based services from many aspects like
location search and place recommendation. However, many POI tags are often incomplete …
location search and place recommendation. However, many POI tags are often incomplete …
Privacy-preserving and sparsity-aware location-based prediction method for collaborative recommender systems
With the rapid growth of public cloud offerings, how to design effective prediction models that
provide appropriate recommendations for potential users has become more and more …
provide appropriate recommendations for potential users has become more and more …
TME: Tree-guided multi-task embedding learning towards semantic venue annotation
The prevalence of location-based services has generated a deluge of check-ins, enabling
the task of human mobility understanding. Among the various types of information …
the task of human mobility understanding. Among the various types of information …
[BOEK][B] Recommender systems: advanced developments
The rapid growth of web information provides excellent opportunities for develo** various
e-services applications in many domains. However, it has also caused information overload …
e-services applications in many domains. However, it has also caused information overload …