Downloads: 121 | Views: 245
Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 5, May 2017 | Popularity: 6.2 / 10
Cross Domain Recommendation System
Komal Shresth, Varshaa, Bhawesmita
Abstract: Recommendation in cross domain is upcoming topic in recommender systems. Its main aim is to reduce/remove sparsity problem in individual collaborative filtering domains by transferring knowledge among related domains. Online shopping is getting trendy by each day. In today's modern world everyone looks for the shortest possible way to buy the best item in the short period of time. Recommendation system is a process in which data is taken according to the interest of user and suggestion is provided according to their choice. But the only drawback is that it deals with only single domain in the classical recommender system. Relationship between two sets of items from various domains are shown under cross domain recommendation system, also provides an extra information about the new users and new item.
Keywords: Contextual Feature, Prediction, Grouping
Edition: Volume 6 Issue 5, May 2017
Pages: 281 - 283
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 654 | Weekly Hits: ⮙1 | Monthly Hits: ⮙3
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1454 - 1458Heart Disease Prediction with Machine Learning Approaches
Megha Kamboj
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
Pages: 672 - 675Increasing the Trust Factor in Cognitive Radio Networks Driven by Software Defined Radio
Shashank Dhananjaya, Yuvaraju B N
Downloads: 0
Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 8, August 2022
Pages: 947 - 949COVID-19 Prediction using Machine Learning Algorithms
Saily Suresh Patil
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 12, December 2022
Pages: 481 - 483Data-Driven Approach for SOC Estimation of Battery using Long-Short Term Memory Network
S. Sai Rahul
Downloads: 0
Comparative Studies, Computer Science & Engineering, India, Volume 12 Issue 5, May 2023
Pages: 194 - 199A Comparative Study of Analyzing Breast Cancer as Benign or Malignant using Machine Learning Algorithms
Nigel Jonathan Renny, Timothy William Richard, Dr. M. Maheswari