The Optimal Stopping Method for Search Engine Returning Trustworthy Results
Jing Huang, Guo Sun Zeng · 2013
The search engine generally returns a large number of results corresponding to a given query, making it more difficult for users to get the information they really look for.This paper gives a research on the optimal stopping method for search engine returning trustworthy results: firstly, it describes the stopping problem in search engine, then combines the candidate pages' trust degree, which is evaluated by Trust Facts Based Trust Evaluation Method, with their searched cost to get the searched reward, then gives a limited condition to determine how to select trustworthy results .Secondly, the conclusion of optimal stopping is applied to design an optimal selection method.Finally, we implement this method, and the experiment shows that our method gathers more correlative and trustworthy results for user's query, and achieves preferable effects.