Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015
Survey Paper on Web Recommendation System
Megha Sen, Seema Udgirikar
The internet has become a significant source of information.it has provide platform for many e-commerce enterprises. These e-commerce sites have very broad variety of products and have loads of information about the product or services so it is difficult for the customers to choose best product according to their needs. To overcome the problem of information overload, many Recommendation techniques have been proposed earlier. A personalized recommendation system can handle this issue. There are still challenges in Recommender system 1) The items and user profiles in e-commerce sites such as e-learning, e-business are so complex and vague so they can be described as complex tree structure. Previous. 2) Attributes of items and user behavior are subjective, vague and imprecise. These in turn induce uncertainty in representing and reasoning on items features, users behavior, and their relationships so fuzzy set theory is used to handle this uncertainty. An item tree and user request tree-based hybrid recommendation approach is then developed. To model users fuzzy tree-structured preferences, a fuzzy preference tree model is proposed. A fuzzy preference tree-based recommendation approach is then developed. Experimental results on an Australian business dataset and the Movie lens dataset show that the proposed recommendation approach have good performance and handled tree-structured data Efficiently.
Keywords: E-business, fuzzy preferences, recommender systems, tree matching, web-based support system
Edition: Volume 4 Issue 11, November 2015
Pages: 2389 - 2391
How to Cite this Article?
Megha Sen, Seema Udgirikar, "Survey Paper on Web Recommendation System", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV151592, Volume 4 Issue 11, November 2015, 2389 - 2391
123 PDF Views | 110 PDF Downloads
Similar Articles with Keyword 'E-business'
Implementation of Digital Signature Verification Using Relative Slope Algorithm
P. N. Ganorkar, Kalyani Pendke, Hemant Turkar
Antispoofing Methods for Authenticating Live Users in Biometric System
Anita Kori, Swathi S. Wali, Sanjeev Kumar M. Hatture, Dr. Suvarna Nandyal
Secure E-Transactions through Bio Metrics System
The Network Security Policies of Telecommunication Industries in Sudan
Mohammed Ibrahim M. Gali, Dr. Abdelrahman Elsharif Karrar
Cloud Computing an Emerging Tool to Survive E-Business Especially Small and Medium Sized Business
Dr. Pragati Saxena
Similar Articles with Keyword 'recommender systems'
Product Recommendation System Using Machine Learning Based Collaborative Filtering Technique
Mrunal Gandhi, Tushar Nikam, Akshay Shahane, Mayur Shete, Dr. Kamini C. Nalavade
Survey of Travel Package Recommendation System
Parnika Patil, V. L. Kolhe
Review on Analysis of User Behavior Based on Prediction Algorithm
Hemlata Kardas, Sulochana Sonkamble
Survey on Recommender System using Distributed Framework
Sonali B. Ghodake, R. S. Paswan
User Based Personalized Search with Big Data
M. C. Sabitha