Abstract: Web object retrieval is becoming one of the main trends in the development of Intelligent Search Engines.High-precision time-varying objects recognition technology is one of the important prerectuisite for high-precision Web object retrieval. Usually,different attributes have different capabilities to token the essence of the object, stochastic attribute obeys some type of distribution, and determinate attribute has better separating capacity than stochastic attribute. In this paper, starting from the abovcmentioned thought a weighted probabilistic model for identifying time varying objects was proposed to improve the accuracy of identify objccts.

Key words: Time-varying objects, Identification, Similarity, Determinate attribute, Stochastic attribute