Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: M-HAJJ DSS: A mobile decision support system for Hajj pilgrims
M-Umrah: An Android-Based Application to Help Pilgrims in Performing Umrah
A mobile disaster management system using the android technology
Demo: BlueMountain: An Architecture to Customize Data Management on Mobile Systems
Data-driven Human Mobility Modeling: A Survey and Engineering Guidance for Mobile Networking
An efficient and reliable reservation algorithm for mobile transactions
ATIPS: Automatic Travel Itinerary Planning System for Domestic Areas
Monitor and understand pilgrims: data collection using smartphones and wearable devices
A web-based pervasive recommendation system for mobile tourist guides
A survey: Data Mining System for Mobile Devices
a personalized tourist trip design algorithm for mobile tourist guides .
spatial decision support systems : a coming of age .
A Logic-Based System for e-Tourism
Routing and Tracking System for Mobile Vehicles in Large Area
Application for e-Tourism: Intelligent Mobile Tourist Guide
Restaurant Recommendation for Group of People in Mobile Environments Using Probabilistic Multi-criteria Decision Making
Spatial decision support systems: an overview of technology and a test of efficacy
The Overall Architecture of a Decision Support System for Public Buildings
A Decision Support System for Planning Promotion Time Slots
Decision support systems and its role in developing the universities strategic management: Islamic university in Gaza as a case study
Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore
Analogical problem solving
Fuzzy logic controller of temperature and humidity inside an agricultural greenhouse
Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications
Survey on PV Modules’ Common Faults After an O&M Flight Extensive Campaign Over Different Plants in Italy
Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations