Keyword alert service suggestion process on Chart Diminish for Bigdata applications

Project Abstract / Summary : In this project,we propose a Keyword Alert Service Sugestion method,named KASS, to address the efficiency and performance challenges. It aims at presenting a personalized service recommendation list and recommending the most appropriate services to the users effectively. Specifically, keywords are used to indicate users’ preferences, and a user-based Collaborative Filtering algorithm is adopted to generate appropriate recommendations. To improve its scalability and efficiency in a big data environment, KASS is implemented , a widely-adopted distributed computing platform using the MapReduce technique.
Finally, extensive experiments are conducted on real-world data sets, and results demonstrate that KASS significantly improves the accuracy and scalability of service recommender systems over existing algorithm.

Why did you choose to work on this project topic : The user specific service recommendations have produced and to make the system more efficient and scalable.
The recommendations have to be produced using the KASS scheme and the recommendations will be produced based previous user predictions.
And similarity matching has to use in order to compute accurate results to the us

Project Category : CS / IT / Networking
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Institute/College Name: Dhanalakshmi Srinivasan college of engineering and technology
City: chennai
State: Tamilnadu
Participating Team From: Final Year

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