Name
Title | ||
|---|---|---|
Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service |
Abstract | ||
|---|---|---|
Along with the development of several emerging computing paradigms and information communication technologies, it is said that cyber computing technology is playing an increasingly important role across cyber-related systems and applications. In this article, we focus on cyber–social computing and propose a computational model that integrates large-scale group decision-making (LSGDM) into social recommendations for cyber-enabled online services. As a concrete application example, a graph model is built to describe the LSGDM problem among researchers in scholarly big data environments. Following the basic profiling to describe decision-makers within scholarly networks, measures are defined to evaluate one researcher’s academic performance and research outcome and further quantify correlations between them based on their collaboration relationships in a constructed network model. A two-stage large-scale decision-making solution is then proposed for social recommendations: A network partition algorithm is developed based on the identification of experts along with their influence extending to a group of researchers, and a random walk with the restart-based algorithm is improved to calculate the weighted decisions for group decision aggregation and alternative ranking. Experiments using the real-world data demonstrate the usefulness and effectiveness of our proposed model and method, which can provide the target researcher with more reliable recommendations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCSS.2019.2932288 | IEEE Transactions on Computational Social Systems |
Keywords | Field | DocType |
Social networking (online),Decision making,Computational modeling,Big Data,Partitioning algorithms,Data models,Collaboration | Network partition,Data modeling,Ranking,Random walk,Computer science,Profiling (computer programming),Artificial intelligence,Big data,Network model,Machine learning,Group decision-making | Journal |
Volume | Issue | ISSN |
6 | 5 | 2329-924X |
Citations | PageRank | References |
12 | 0.50 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaokang Zhou | 1 | 225 | 25.50 |
| Wei Liang | 2 | 67 | 6.75 |
| Su-Zhen Huang | 3 | 17 | 1.33 |
| Miao Fu | 4 | 12 | 0.50 |