关键词: 元搜索引擎，排序算法，信息关联度，IRIJ，信息量，信息嫡，CombMul

Abstract: The meta search engine collects results from many search engines, using a certain way to treat the results and then returning back to the users. Reranking the results will directly affect the performance of meta search engine. This paper was based on information quantity and entropy which arc used in communication field then presented a calculation algorithm-information related degree(IRD),after a particular amendment to the IRl)algorithm, this paper also pro- posed a merging algorithm combMul. The above algorithms were applied to the meta search engine, and MRR precision was used to evaluate the algorithm .The MRR precision data show that IRD algorithm is even better compared with a widely used sorting algorithm-Borda.

Key words: Meta search mngine, Ranking algorithm, Information related degree, IRD，Information quantity, Entropy,ComhMul