Mining significant semantic locations from GPS data
By Xin Cao, Gao Cong, Christian S. Jensen. Proceedings of the VLDB Endowment, 2010
379 citations recorded by the source corpus.
Subfields: Geography, Planning and Development, Transportation, Signal Processing
View Paper: https://www.semanticscholar.org/paper/21ffdea0f936fb0bd59dc596363282241e917137
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geography, Planning and Development
In Transportation
In Signal Processing
Citations in the corpus
- Recommendations in location-based social networks: a survey (2015, neutral): “Cao [13] √ √ √”
- Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks (2012, background): “One line of research is to solve POI recommendation based on the extracted stay points from GPS trajectory logs of several hundred monitored users (Zheng et al. 2009; 2010a; 2010b; Leung, Lee, and Lee 2011; Zheng and Xie 2011; Cao, Cong, and Jensen 2010).”
- Exploiting geographical influence for collaborative point-of-interest recommendation (2011, background): “Among them, [27, 26, 7, 25] are mainly focused on GPS datasets which do not consider social relationships among users.”
- Where You Like to Go Next: Successive Point-of-Interest Recommendation (2013, neutral): “The GPS trajectory data usually consist of small number of users, but dense records [Zheng and Xie, 2011; Cao et al., 2010].”
- Time-aware point-of-interest recommendation (2013, methodology): “[3] develop a technique capable of extracting semantic locations from GPS data.”
- Location-based and preference-aware recommendation using sparse geo-social networking data (2012, background): “[3] further extends this work by considering the correlation between locations when doing the inference.”
- Constructing popular routes from uncertain trajectories (2012, background): “Examples of applications are trip planning [2,5,7,8,15,17], animal movement behavior studies [9] and traffic flow analysis [14].”