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The existing cipher text retrieval techniques mainly adopt the Boolean model and can not calculate accurately the related degree of the search terms and the retrieved documents, then it can not sort precisely. In view of the above situation, combined with homomorphic encryption technology and vector space model technique based on TF-IDF, the paper proposed a cipher text retrieval scheme BVH , BVH is divided into three steps:the first is preprocessing stage, it's main work is the establishment of inverted index file and vector set, and the calculation of each document vector module, then uploads the encrypted document vectors and files to the cloud. The second stage is the retrieval stage, it mainly multiplys key words vector cipher text and each file vector cipher text and returns the result cipher text to the client. The third stage is the result process stage, it mainly decrypts the returned results, processes the decrypted results, and then sorts the processing results according to the similarity. The results of analysis show that the scheme has greatly improved in the safety, precision and retrieval efficiency.