Sentence examples for data sparsity from inspiring English sources

Also, in real settings data sparsity degrades the recommendation accuracy.

Data sparsity certainly limits the applicability of this method over the earlier decades of the observational record.

In order to address this data sparsity problem, we propose three algorithms2 based on collaborative filtering.

The critical problem of data sparsity was handled by combining approaches.

It is helpful for alleviating the data sparsity problem caused by version division.

However, two main recommendation problems remain unsolved yet, data sparsity and cold start.

This is caused by the data sparsity issue in recommender systems, where little existing rating information is available.

Data sparsity, that is a common problem in neighbor-based collaborative filtering domain, usually complicates the process of item recommendation.

The model is effective at trading the benefits of potential combinations of clustering keys against data sparsity and performance.

Specifically, as our core innovations, we accurately detect rare (low frequency) terms, overcoming the issue of data sparsity.

Some graph-based approaches have been proposed to address the data sparsity problem, but they suffer from two flaws.