The increasing popularity of the social networking service, Twitter, has made it more
involved in day-to-day communications, strengthening social relationships and information …

Local business service systems (LBSS), such as Yelp and Dianping, play an essential role
in making decisions like choosing a restaurant for our daily life. These systems heavily rely …

Rating prediction is to predict the preference rating of a user to an item that she has not rated
before. Using the business review data from Yelp, in this paper, we study business rating …

Twitter is a popular platform for sharing activities, plans, and opinions. Through tweets, users
often reveal their location information and short term visiting plans. In this paper, we are …

Many users casually reveal their locations such as restaurants, landmarks, and shops in
their tweets. Recognizing such fine-grained locations from tweets and then linking the …

Recently, points of interest (POIs) recommendation has evolved into a hot research topic
with real-world applications. In this paper, we propose a novel semantics-enhanced density …

网络空间测绘技术是一种网络共性基础与应用技术, 对网络空间测绘相关技术的研究进展进行了
综述和讨论. 首先, 阐述了网络空间测绘的内涵, 给出了网络空间测绘一般技术框架; 然后 …

In recent years, with the prevalence of social media and smart devices, people causally
reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing …

Numbers of sharing economy services are significantly increasing recently. Using
computational techniques to obtain customer's behavior on these services are very helpful to …

Providing timely accessibility reminders (such as closed and relocated) of a point-of-interest
(POI) plays a vital role in improving user satisfaction of finding places and making visiting …