Time Context Model for Web Search based on Memory Activation Theory

A the long term challenge of Web information retrieval is on the context area. Temporal feature is one of the elements of context that potentially significant to information retrieval but has not been considered currently. This paper proposed a time sensitive context vector model based on memory activation theory of human memory where activation of memory is decided by history use, weight of similar memory and correlation of current query. Human memory retrieval is time sensitive context search, which inspires a new web intelligent search model combined memory activation theory and vector space model. Algorithms of the new model are described in this paper and the temporal complexity and spatial complexity are also discussed. In relation to exiting models, the superiority of new model is in that it can retrieve authoritative and valuable information that users potentially want. This study is a tentative step toward intelligence of Web search.