Cloud data owners prefer to outsource documents in an encrypted form for privacy conservation purposes. An Efficient Privacy-Preserving Ranked Keyword Search Method is therefore essential to develop effective and reliable ciphertext search techniques. The data volume in data centers has also experienced dramatic growth. This will make it even more challenging to design ciphertext search schemes that can provide efficient and reliable online retrieval of information on large volumes of encrypted data. This An Efficient Privacy-Preserving Ranked Keyword Search Method approach can reach linear computational complexity in the search phase against an exponential size increase in document collection. The results show that the search time of the proposed method increases linearly with a sharp increase in documents in the dataset, while the search time of the traditional method increases exponentially.