We empirically analyze a "hot topic" of online marketing to exam the predictive performance of an opinion evolution model. We compare our model with existing algorithms of online prediction and conduct an analysis using a test data set. Results show that our model and corresponding information influence rule have increased prediction performance.
|Original language||English (US)|
|Number of pages||9|
|Journal||Journal of Computers (Taiwan)|
|State||Published - 2016|
All Science Journal Classification (ASJC) codes
- Computer Science(all)