The rapid development of location-based social networks(LBSNs) provides people with an opportunity of better understanding their mobility behavior which enables them to decide their next location.For example,it can he...The rapid development of location-based social networks(LBSNs) provides people with an opportunity of better understanding their mobility behavior which enables them to decide their next location.For example,it can help travelers to choose where to go next,or recommend salesmen the most potential places to deliver advertisements or sell products.In this paper,a method for recommending points of interest(POIs)is proposed based on a collaborative tensor factorization(CTF)technique.Firstly,a generalized objective function is constructed for collaboratively factorizing a tensor with several feature matrices.Secondly,a 3-mode tensor is used to model all users' check-in behaviors,and three feature matrices are extracted to characterize the time distribution,category distribution and POI correlation,respectively.Thirdly,each user's preference to a POI at a specific time can be estimated by using CTF.In order to further improve the recommendation accuracy,PCTF(Partitionbased CTF) is proposed to fill the missing entries of a tensor after clustering its every mode.Experiments on a real checkin database show that the proposed method can provide more accurate location recommendation.展开更多
Advanced information and communication technologies can be used to facilitate traffic incident management. If an incident is detected and blocks a road link, in order to reduce the incident-induced traffic congestion,...Advanced information and communication technologies can be used to facilitate traffic incident management. If an incident is detected and blocks a road link, in order to reduce the incident-induced traffic congestion, a dynamic strategy to deliver incident information to selected drivers and help them make detours in urban areas is proposed by this work. Time-dependent shortest path algorithms are used to generate a subnetwork where vehicles should receive such information. A simulation approach based on an extended cell transmission model is used to describe traffic flow in urban networks where path information and traffic flow at downstream road links are well modeled.Simulation results reveal the influences of some major parameters of an incident-induced congestion dissipation process such as the ratio of route-changing vehicles to the total vehicles, operation time interval of the proposed strategy, traffic density in the traffic network, and the scope of the area where traffic incident information is delivered. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.展开更多
With urbanization and socio-economic development,new generation migrant workers play an increasingly important role in urban construction. However,for a long time,their social integration situation in inflow places is...With urbanization and socio-economic development,new generation migrant workers play an increasingly important role in urban construction. However,for a long time,their social integration situation in inflow places is not ideal. Academic circle has done a lot of researches,but no effective strategy is so far put forward. Through analysis of domestic and foreign researches,it is found that social capital and human capital have an important influence on social integration of new generation migrant workers. This paper takes this as starting point,combines characteristics of new generation migrant workers,and overviews theories and empirical researches of domestic and foreign famous scholars,to explore the relationship between social capital and human capital and social integration of new generation migrant workers.展开更多
基金supported in part by the National Nature Science Foundation of China(91218301,61572360)the Basic Research Projects of People's Public Security University of China(2016JKF01316)Shanghai Shuguang Program(15SG18)
文摘The rapid development of location-based social networks(LBSNs) provides people with an opportunity of better understanding their mobility behavior which enables them to decide their next location.For example,it can help travelers to choose where to go next,or recommend salesmen the most potential places to deliver advertisements or sell products.In this paper,a method for recommending points of interest(POIs)is proposed based on a collaborative tensor factorization(CTF)technique.Firstly,a generalized objective function is constructed for collaboratively factorizing a tensor with several feature matrices.Secondly,a 3-mode tensor is used to model all users' check-in behaviors,and three feature matrices are extracted to characterize the time distribution,category distribution and POI correlation,respectively.Thirdly,each user's preference to a POI at a specific time can be estimated by using CTF.In order to further improve the recommendation accuracy,PCTF(Partitionbased CTF) is proposed to fill the missing entries of a tensor after clustering its every mode.Experiments on a real checkin database show that the proposed method can provide more accurate location recommendation.
基金supported by the National Natural Science Foundation of China(61374148)
文摘Advanced information and communication technologies can be used to facilitate traffic incident management. If an incident is detected and blocks a road link, in order to reduce the incident-induced traffic congestion, a dynamic strategy to deliver incident information to selected drivers and help them make detours in urban areas is proposed by this work. Time-dependent shortest path algorithms are used to generate a subnetwork where vehicles should receive such information. A simulation approach based on an extended cell transmission model is used to describe traffic flow in urban networks where path information and traffic flow at downstream road links are well modeled.Simulation results reveal the influences of some major parameters of an incident-induced congestion dissipation process such as the ratio of route-changing vehicles to the total vehicles, operation time interval of the proposed strategy, traffic density in the traffic network, and the scope of the area where traffic incident information is delivered. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.
基金Supported by Project of National Social Science Foundation(Grant No.:11CGL072)Project of National Social Science Foundation(Grant No.:11CGL066)+3 种基金Special Fund for Basic Scientific Research of Central Colleges(Grant No.:12MS128)Special Fund for Basic Scientific Research of Central Colleges(Grant No.:12QN34)Project of Baoding City Philosophy andSocial Science Research(Grant No.:201102905)Research Project of Human Resource and Social Security in Hebei Province(Grant No.:JRS-2012-2029)
文摘With urbanization and socio-economic development,new generation migrant workers play an increasingly important role in urban construction. However,for a long time,their social integration situation in inflow places is not ideal. Academic circle has done a lot of researches,but no effective strategy is so far put forward. Through analysis of domestic and foreign researches,it is found that social capital and human capital have an important influence on social integration of new generation migrant workers. This paper takes this as starting point,combines characteristics of new generation migrant workers,and overviews theories and empirical researches of domestic and foreign famous scholars,to explore the relationship between social capital and human capital and social integration of new generation migrant workers.