Score_replace {CFF} | R Documentation |

The ratings of each user that has more similar to the active user are directly replaced in his unseen items.

```
Score_replace(ratings, sim_index, ac)
```

`ratings` |
A rating matrix whose rows are items and columns are users. |

`sim_index` |
Descending sorted indexes based on similarity to the active user who is a vector of integers. |

`ac` |
The id of an active user as an integer ( |

The unseen items of the active user are filled by the ratings of the similar users, respectively. Each element remains unchanged after one placement.

`ratings2` |
A matrix the size of the original user-item matrix in which the active user's empty elements are filled. |

Farimah Houshmand Nanehkaran

Maintainer: Farimah Houshmand Nanehkaran <hoshmandcomputer@gmail.com>

Gadekula, S. K., Rao, U. P., Vyas, R. K., Dontula, A. L., & Gaikwad, S. V. (2019). *Improved Pearson Similarity for Collaborative Filtering Recommendation System*. In 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1047-1054, IEEE.

```
ratings <- matrix(c( 2, 5, NaN, NaN, NaN, 4,
NaN, NaN, NaN, 1, NaN, 5,
NaN, 4, 5, NaN, 4, NaN,
4, NaN, NaN, 5, NaN, NaN,
5, NaN, 2, NaN, NaN, NaN,
NaN, 1, NaN, 4, 2, NaN),nrow=6,byrow=TRUE)
sim <- simple_similarity(ratings, max_score=5, min_score=1, ac=1)
ratings2 <- Score_replace(ratings, sim_index= sim$sim_index, ac=1)
```

[Package *CFF* version 1.0 Index]