Adopting recommendation mechanisms to process users' data is available on cloud computing to enhance the performance of modelling user preference. Using recommendation APIs available in cloud computing, our work focuses on developing hotel or lodging web applications with a trust-based recommendation service. The recommendation service accompanying trust relationship among users is advanced further to reduce the problem of cold-start users and data-rating sparsity. Additionally, a blockchain service is assisted with an online room-booking service. We suggest that the architecture for hotel or lodging applications is incorporated with a number of requested modules. A prototype is built by the proposed modules over a cluster platform and a blockchain net. The experimental results show that the trust-based recommender of the prototype contains more improved accuracy than general recommenders only with explicit rating data. A smart contract in a blockchain test net for the online room-booking service is implemented, executed, and evaluated.
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