Personalized service recommendations for travel using trajectory pattern discovery
نویسندگان
چکیده
منابع مشابه
Personalized Service Discovery and Composition
With the prevalence of Service-Oriented Architecture (SOA), end-users, who are not familiar with SOA standards and tools, want to customize services to fulfill their daily activities. However, it is challenging for end-users to get involved in the service composition, due to the in-depth knowledge needed for SOA standards and techniques. To help end-users compose services for their daily activi...
متن کاملPattern Language for Service Discovery
In this paper a pattern language for service discovery is introduced. These patterns were mined from several existing service discovery protocols, and from protocols which are generally used for service discovery, but have not been discussed under the theme of service discovery in the research community. In this paper everything preceding the actual service usage is considered as service discov...
متن کاملPersonalized Travel Package Recommendation Using Cocktail Algorithm
79 Abstract— As the worlds of business, entertainment, travel and Internet technology become more linked, new types of business data become available for creative use and formal analysis. This project provides a study of online travel information for personalized travel package suggestion to the best course of travel. A target along this line is to address the unique characteristics of travel d...
متن کاملTrajectory Reconstruction for Travel Time Estimation
2 Abstract In this paper, we proposed a Trajectory Reconstruction Model as an improvement to existing speed-based travel time estimation models. The proposed model utilizes point-based speed data collected by existing Intelligent Transportation Systems (ITS). Using the smoothing scheme proposed in this paper, it is possible to construct a speed surface as a function of space and time. Then, one...
متن کاملUsing Agents for Generating Personalized Recommendations of Multimedia Contents
Agent-based recommender systems assist users based on their preferences and those of similar users. However, when dealing with multimedia contents they need of: (i) selecting as recommenders those users that have similar profiles and that are reliable in providing suggestions and (ii) considering the effects of the device currently exploited. To address these issues, we propose a multi-agent ar...
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: International Journal of Distributed Sensor Networks
سال: 2018
ISSN: 1550-1477,1550-1477
DOI: 10.1177/1550147718767845