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meet users’ personalized requirements. In this paper, we propose a Keyword-Aware Service Recommendation method, named KASR, to address the above challenges. It aims at presenting a personalized service recommendation list and recommending the most appropriate services to the users effectively. Specifically
is very different from the retrieval of plaintext. The traditional plaintext retrieval method is no longer suitable for the retrieval of the cipher text. In the previous fuzzy search strategy, although fuzzy keyword sets that building on keyword dictionary can realize the fuzzy search. But when the keyword set is
directly. Regular encryption algorithms such as AES, RC4 and DES mechanisms have searching limitation, in which the whole ciphertext needs to be retrieved and then decrypt before search procedure can be performed. Recently a lot of research has been done to enable search capabilities for users. Generally, keyword based search
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.