Main Article Content
In today’s world of data, large amount of homogenous as well as heterogeneous data is available in service sectors like hotel, tourists etc. Accessing helpful information from these large pool of data is quite tedious task. In developing country like India, Hotel sector is becoming mature now and retrieving and providing information to the users to select appropriate hotel from any unknown place is very crucial. An automated system like recommendation system is useful to provide help in decision making process of any person. Large amount of hotel data, scalability and efficiency problem of traditional service recommendation system leads to create a new hotel recommendation system. In this intelligent system personalised recommendations are provided to the user based on keywords which elaborates user’s choices and preferences . This system uses collaborative-filtering approach to generate recommendations using MapReduce parallel processing paradigm. Implementations is based on real time data related to hotels situated in Pune city.