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GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation
Point-of-Interest (POI) recommendation has become an important means to help people
discover attractive locations. However, extreme sparsity of user-POI matrices creates a …
discover attractive locations. However, extreme sparsity of user-POI matrices creates a …
Explaining recommendations: Design and evaluation
In recent years, there has been an increased interest in more user-centered evaluation
metrics for recommender systems such as those mentioned in [49]. It has also been …
metrics for recommender systems such as those mentioned in [49]. It has also been …
A survey on ambient-assisted living tools for older adults
In recent years, we have witnessed a rapid surge in assisted living technologies due to a
rapidly aging society. The aging population, the increasing cost of formal health care, the …
rapidly aging society. The aging population, the increasing cost of formal health care, the …
Methodologies for cross-domain data fusion: An overview
Y Zheng - IEEE transactions on big data, 2015 - ieeexplore.ieee.org
Traditional data mining usually deals with data from a single domain. In the big data era, we
face a diversity of datasets from different sources in different domains. These datasets …
face a diversity of datasets from different sources in different domains. These datasets …
[PDF][PDF] Where you like to go next: Successive point-of-interest recommendation.
Personalized point-of-interest (POI) recommendation is a significant task in location-based
social networks (LBSNs) as it can help provide better user experience as well as enable …
social networks (LBSNs) as it can help provide better user experience as well as enable …