A collaborative filtering
recommendation algorithm based on user clustering and items clustering.
6--Based collaborative filtering
method is proposed algorithms item
He says, it's the same problem the dating industry solved with online dating websites using collaborative filtering
As far as we known, study in  is the first work of predicting Web service's QoS through collaborative filtering
The recommendation module consists of two sub-modules: the data clustering module and the focused collaborative filtering
In general, collaborative filtering
systems approach the problem of information filtering by estimating the desirability of items under consideration.
DataSage believes that the market is moving beyond mere collaborative filtering
- the practice of predicting what users will want based on what other users have bought - to individualization, eventually creating a virtual store for each customer that visits a web site.
Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering
, association rules, link analysis, survival analysis, and more
In Item Based Collaborative Filtering
'k' items which are most similar to the current item are recommended to the user (Khabbaz and V S Lakshmanan, 2011).
The first paper deals with the Collaborative filtering
wherein the authors have proposed collaborative filtering
algorithm for recommendation systems.
The secret to Gvidi's great recommendations is its sophisticated collaborative filtering
The main types of recommender systems namely collaborative filtering
and content-based filtering surfer from scalability, data sparsity, and cold-start problems resulting in poor quality recommendations and reduced coverage.