Results 281 to 290 of about 10,323,308 (323)

Adversarial Point-of-Interest Recommendation

The Web Conference, 2019
Point-of-interest (POI) recommendation is essential to a variety of services for both users and business. An extensive number of models have been developed to improve the recommendation performance by exploiting various characteristics and relations ...
Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu   +5 more
semanticscholar   +1 more source

Point-of-Interest Recommendations

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
The emergence of Location-based Social Network (LBSN) services provides a wonderful opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a personalized POI recommender system can significantly facilitate users' outdoor activities, it faces many challenging problems, such as the hardness to model user's POI decision ...
Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu   +3 more
openaire   +1 more source

Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks

Neurocomputing, 2020
Point-of-Interest (POI) recommendation is one of the most essential tasks in LBSNs to help users discover new interesting locations, especially when users travel out of town or to unfamiliar areas.
Xi Xiong, Shaojie Qiao, Nan Han, Fei Xiong, Zhan Bu, Ronghua Li, Kun Yue, Guan Yuan   +7 more
semanticscholar   +1 more source

Automated evaluation of interest point detectors

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS), 2013
Interest point detectors are important components in a variety of computer vision systems. This paper demonstrates an automated virtual 3D environment for controlling and measuring detected interest points on 2D images in an accurate and rapid manner.
Simon R. Lang, Martin H. Luerssen, David M. W. Powers   +2 more
openaire   +1 more source

An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features

Knowledge-Based Systems, 2019
Point-of-interest (POI) recommendations can help users effectively explore new locations according to their preferences, which is an important research aspect for location-based social networks (LBSNs).
Yali Si, Fuzhi Zhang, Wenyuan Liu
semanticscholar   +1 more source

Point of interest to region of interest conversion

Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013
Trajectories of people contain a vast amount of information on users' interests and popularity of locations. To obtain this information, the places visited by the owner of the device on such a trajectory need to be recognized. However, the location information on a point of interest (POI) in a database is normally limited to an address and a coordinate
de Graaff, V., de By, R.A., van Keulen, Maurice, Flokstra, Jan   +3 more
openaire   +2 more sources

Integration of Points of Interest and Regions of Interest

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 2014
Images consist of different low-level features, such as Points of Interest (POIs) and Regions of Interest (ROIs). A distinction between POIs and ROIs is that the latter ones have intrinsic scale information while the former ones may not have. In this paper, we propose a scheme to integrate these two kinds of image features.
Qi Li, Yongyi Gong, Yixuan Lu
openaire   +1 more source

Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation

Computer Vision and Pattern Recognition, 2019
We propose to tackle the problem of multiview 2D/3D rigid registration for intervention via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2).
Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Zhou   +5 more
semanticscholar   +1 more source

Self-Similarity and Points of Interest

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
In this work, we present a new approach to interest point detection. Different types of features in images are detected by using a common computational concept. The proposed approach considers the total variability of local regions. The total sum of squares computed on the intensity values of a local circular region is divided into three components ...
openaire   +2 more sources

Leveraging graph neural networks for point-of-interest recommendations

Neurocomputing, 2021
Jiyong Zhang, Xin Liu, Xiaofei Zhou, Xiaowen Chu   +3 more
semanticscholar   +1 more source