Survey On Service Recommendations Techniques
Abstract & Details
Research Area
Computer Enggineering
Keywords
Recommender System
Big Data
Preferences
Keyword
Map-Reduce
Hadoop.
Abstract
Service Recommender systems are nothing but the guide for a user or tools that provide appropriate recommendations to users in a personalized way. Now-a-days the amount of customers, services and online information is increasing rapidly causing a big data analysis problem for service recommender system. Also , the traditional recommender system has arise inefficiency and scalability problems while processing such large amount of data. The another issue with this systems are they do not consider different users choices and provide same ratings and recommendations to different users. So to overcome the all issues a new approach is used that uses keyword query to denote user interest and gives recommendations to users according to their interest. It uses user based collaborative filtering algorithm for that purpose.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Yamini Vilas Nikam | AVCOE,Sangamner |
| 2 | Milindkumar B.Vaidya | AVCOE,Sangamner |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Nikam, Yamini Vilas & B.Vaidya, Milindkumar (2016). Survey On Service Recommendations Techniques. International Journal of Advance Research and Innovative Ideas In Education, 2(1), 463-467.
MLA Style
Nikam, Yamini Vilas, and Milindkumar B.Vaidya. "Survey On Service Recommendations Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 1, 2016, pp. 463-467.
IEEE Style
Yamini Vilas Nikam and Milindkumar B.Vaidya, "Survey On Service Recommendations Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 1, pp. 463-467, 2016.
Vancouver Style
Nikam Yamini Vilas, B.Vaidya Milindkumar. Survey On Service Recommendations Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(1):463-467.
Harvard Style
Nikam, Yamini Vilas & B.Vaidya, Milindkumar (2016) 'Survey On Service Recommendations Techniques', International Journal of Advance Research and Innovative Ideas In Education, 2(1), pp. 463-467.
Chicago Style
Nikam, Yamini Vilas and Milindkumar B.Vaidya. "Survey On Service Recommendations Techniques." International Journal of Advance Research and Innovative Ideas In Education 2, no. 1 (2016): 463-467.
Turabian Style
Nikam, Yamini Vilas and Milindkumar B.Vaidya. "Survey On Service Recommendations Techniques." International Journal of Advance Research and Innovative Ideas In Education 2, no. 1 (2016): 463-467.
Related Research
A Brief Review of Performance Evaluation of Global and Local Image Thresholding Based on Computational Efficiency
Download PDF
Performance Evaluation of Global and Local Image Thresholding Based on Computational Efficiency
Download PDF
Enhancing Handwritten Alpha-Numeral Recognition Using GAN-Based Synthetic Data Generation
Download PDF
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
Download PDF
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
Download PDF
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Download PDF