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Context Aware Decision Support Mobile Application for Recommendation in the Domain of Hotels

Author(s):

Vedika Prasad Kulkarni , STES's Smt. Kashibai Navale College Of Engineering, Vadgaon(bk), Pune; Shubham Satish Kale, STES's Smt. Kashibai Navale College Of Engineering, Vadgaon(bk), Pune; Prashant Vishnu Nathe, STES's Smt. Kashibai Navale College Of Engineering, Vadgaon(bk), Pune

Keywords:

Context Aware Graph Based Recommender, Collaborative Filtering, Data Mining, Knowledge Based Filtering, Context Awareness

Abstract

In any application, the recommender system plays a main role. These systems assist the users to make a proper decision on the basis of the recommendations provided by the application. Recommender systems provide the personalized recommendations based on the users interest and preferences. Users have to search number of pages on internet to find appropriate information on any particular topic. It is difficult to process such a big data and also very time consuming. There are many recommendation algorithms currently used by many applications, e-commerce websites like collaborative filtering, knowledge based filtering, etc. Here we have proposed a recommender system which uses Context aware graph based recommendation algorithm to provide relevant, personalized recommendations which overcome the drawbacks of both the techniques, thereby increasing accuracy. Context-aware recommender systems adapt the contextual situations of the user and generate more effective recommendation. A graph based approach is proposed to assist the decision support to users and accept contextual information like day time, location, day type, company involved, etc. and process it in an advantageous manner. Here, we have described the application of such system within the domain of hotels.

Other Details

Paper ID: IJSRDV4I21010
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 862-864

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