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 …
Clustering users by their mobility behavioral patterns
The immense stream of data from mobile devices during recent years enables one to learn
more about human behavior and provide mobile phone users with personalized services. In …
more about human behavior and provide mobile phone users with personalized services. In …
Leveraging multi-aspect time-related influence in location recommendation
Abstract Point-Of-Interest (POI) recommendation aims to mine a user's visiting history and
find her/his potentially preferred places. Although location recommendation methods have …
find her/his potentially preferred places. Although location recommendation methods have …
Dynamic evolutionary clustering approach based on time weight and latent attributes for collaborative filtering recommendation
J Chen, L Wei, L Zhang - Chaos, Solitons & Fractals, 2018 - Elsevier
Collaborative filtering is one of the most widely used individual recommendation algorithms.
The traditional collaborative filtering recommendation algorithm takes less care of time …
The traditional collaborative filtering recommendation algorithm takes less care of time …
Improve collaborative filtering through bordered block diagonal form matrices
Collaborative Filtering-based recommendation algorithms have achieved widespread
success on the Web, but little work has been performed to investigate appropriate user-item …
success on the Web, but little work has been performed to investigate appropriate user-item …
A tensor decomposition based collaborative filtering algorithm for time-aware POI recommendation in LBSN
M Yin, Y Liu, X Zhou, G Sun - Multimedia Tools and Applications, 2021 - Springer
Point of interest (POI) recommendation problem in location based social network (LBSN) is
of great importance and the challenge lies in the data sparsity, implicit user feedback and …
of great importance and the challenge lies in the data sparsity, implicit user feedback and …
Personalized location recommendation using mobile phone usage information
Location recommendation has become a hot research area in recent years. The cold-start
problem is still a great challenge in personalized location recommendation, which makes it …
problem is still a great challenge in personalized location recommendation, which makes it …
A probabilistic stop and move classifier for noisy GPS trajectories
L Bermingham, I Lee - Data Mining and Knowledge Discovery, 2018 - Springer
Stop and move information can be used to uncover useful semantic patterns; therefore,
annotating GPS trajectories as either stopping or moving is beneficial. However, the task of …
annotating GPS trajectories as either stopping or moving is beneficial. However, the task of …
Personalized visited-poi assignment to individual raw GPS trajectories
Knowledge discovery from GPS trajectory data is an essential topic in several scientific
areas, including data mining, human behavior analysis, and user modeling. This article …
areas, including data mining, human behavior analysis, and user modeling. This article …
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 …