Finding good areas for renting apartments using apartments information and users' trajectories

Current apartment renting web sites provide services to search apartments by attribute filters while they lack the services to help find areas that are convenient for living and meet customers' personal preference. In many cases, people not only need attributes of the apartments meeting their requirements, but also need the attributes of the area be satisfied. We propose an IT service that can find appropriate areas for customers to rent apartments while they want to move to new places. The areas are picked according to users' life styles mined from their former moving trajectories and to the attributes of the areas calculated from preferences of present rooms of users.