CFilt
1.0.1Collaborative Filtering Models for Recommendation Systems
Overview
Implements collaborative filtering methods for recommendation systems based on user-item interaction data. Supports both explicit feedback (ratings) and implicit feedback (consumption). The package uses efficient sparse matrix representations and provides incremental updates for users, items, and similarity structures through an R6 class-based architecture. See Aggarwal (2016) doi:10.1007/978-3-319-29659-3 for an overview.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 9.0 median / 11 max
- Documented parameters
- 94%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
8 4 exported
Complexity
8.4 avg / 11 max
Call network
8 nodes / 1 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.1Latest
- 1.0.02026-04-25 · diff ↗
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.3.02024-10-04 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.12020-10-14 · diff ↗
- 0.2.02020-09-19 · diff ↗
- 0.1.02020-06-19
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-06-19
- Total releases
- 6 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 12 KB / 1 file
- Download size
- 32 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet