Finding regions of interest using location based social media
نویسندگان
چکیده
منابع مشابه
Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and functions than SNs, they fail so far to attract as many users as SNs. On the other hand, SNs have large amounts of geo-tagged media that are u...
متن کاملA Review of Spatial Factor Modeling Techniques in Recommending Point of Interest Using Location-based Social Network Information
The rapid growth of mobile phone technology and its combination with various technologies like GPS has added location context to social networks and has led to the formation of location-based social networks. In social networking sites, recommender systems are used to recommend points of interest (POIs) to users. Traditional recommender systems, such as film and book recommendations, have a lon...
متن کاملFrom Interest to Function: Location Estimation in Social Media
Recent years have witnessed the tremendous development of social media, which attracts a vast number of Internet users. The high-dimension content generated by these users provides an unique opportunity to understand their behavior deeply. As one of the most fundamental topics, location estimation attracts more and more research efforts. Different from the previous literature, we find that user...
متن کاملUsing social media to facilitate medical students’ interest in research
O f late, the use of social media has spread worldwide and there is a massive number of international users. According to reports from Facebook (1) and Twitter (2) during the second quarter of 2014, the number of active users reached 1.32 billion and 271 million, respectively. That being said, several studies have reported overwhelming responses from medical students using social media networki...
متن کاملFinding Regions of Interest from Multimodal Human-Robot Interactions
Learning new concepts, such as object models, from humanrobot interactions entails different recognition capabilities on a robotic platform. This work proposes a hierarchical approach to address the extra challenges from natural interaction scenarios by exploiting multimodal data. First, a speech-guided recognition of the type of interaction happening is presented. This first step facilitates t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neurocomputing
سال: 2016
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2015.06.086