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Item-item collaborative filtering

Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering based on the similarity between items… 
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Collaborative filteringMovieLensOverfittingRecommender system

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Movie Recommender Systems: Implementation and Performance Evaluation
Over the years, explosive growth in the number of items in the catalog of e-commerce businesses, such as Amazon, Netflix, Pandora… 
Review
2019
Review
2019
Recommender systems using sentiment analysis
In recent years, a variety of recommender systems have been developed in order to meet business needs. Businesses aim in using… 
Review
2018
Review
2018
BEP TI3806
As Machine Learning is becoming more accessible to small businesses, thanks to the rapid advance in computing power, smaller… 
2018
2018
Eigenvalue analogy for confidence estimation in item-based recommender systems
Item-item collaborative filtering (CF) models are a well known and studied family of recommender systems, however current… 
2018
2018
Data-Driven Secret Santa
In 2016, the Bank of Georgia and the Georgian Post conducted a nation-wide secret santa for the residents of the country Georgia… 
2017
2017
SAFFRON: A Semi-Automated Framework for Software Requirements Prioritization
Due to dynamic nature of current software development methods, changes in requirements are embraced and given proper… 
2017
2017
Discovering Similar Products in Fashion E-commerce
In recent years, item-item collaborative filtering algorithms have been studied thoroughly in recommender systems. When applied… 
2017
2017
An Ontology Based Recommender System to Mitigate the Cold Start Problem in Personalized Web Search
With the increase in the diversity of data available on the web, excellence of various searches and the need for personalizing… 
2016
2016
A design of smart docent service using hybrid recommenders
E-commerce companies such as Amazon.com and Netflix have been introducing recommendation techniques to attract their customers on… 
2013
2013
Application of Using Simulated Annealing to Combine Clustering with Collaborative Filtering for Item Recommendation
tem-item collaborative filtering was widely used in item recommender system because of good recommend effects. However when… 
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