The Study of the Competition Model of Portal and Search Engine

Jing Guo Qu; Dong Hua Wang; Yu Huan Cui; Ya Mian Peng

doi:10.4028/www.scientific.net/AMM.50-51.442

Paper Titles

Solution to China’s GDP Prediction Problem by BP Neural Network
p.423

Research of Genetic Algorithm for Parabolic Equation Inverse Problem
p.428

Convergence Theorems for a Finite Family of Strictly Asymptotically Pseudocontractive Mappings in Q-Uniformly Smooth Banach Spaces
p.432

The Study of the Brake Test Bench Model
p.437

The Study of the Competition Model of Portal and Search Engine
p.442

Improved Tikhonov Regularization Research and Applied in Inverse Problem
p.447

Solution to China’s GDP Prediction Problem by BP Neural Network
p.451

Numerical Method Research of Partial Differential Equations Inverse Problem
p.455

Tikhonov Regularization Solve Partial Differential Equations Inverse Problem
p.459

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 50-51The Study of the Competition Model of Portal and...

The Study of the Competition Model of Portal and Search Engine

Abstract:

This paper is to discuss the competition and cooperation of portal and search engine mainly by building stability model. We can use Lotka-Volterra mutualism model to describe and build cooperation model of portal and search engine, and we can use Lotka-Volterra predator – prey model with Logistic items to describe and build competition model of portal and search engine.