Parents (Total: 4)
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
| Key |
Value |
| MD5 | D94FCF1828BF5C2F691A8BB09B1D3472 |
| PackageArch | x86_64 |
| PackageDescription | The collaborative Filtering methodology has been widely used in
recommendation systems, which uses similarities between users or items
to make recommendations. A class called CF was implemented, where it is
structured by matrices and composed of recommendation and database
manipulation functions. See Aggarwal (2016)
<doi:10.1007/978-3-319-29659-3> for an overview. |
| PackageMaintainer | https://www.suse.com/ |
| PackageName | R-CFilt |
| PackageRelease | lp154.2.1 |
| PackageVersion | 0.2.1 |
| SHA-1 | A7250F5AE8D7A9932AFB9EEFFED5493A523EB94E |
| SHA-256 | BF724B2CACEE2FAAE5C0F0139E14CBC3C4186888DF405CC300A47241E74E9941 |
| Key |
Value |
| MD5 | 5B7FEB75414C2D37E0C0161BFD110BD9 |
| PackageArch | x86_64 |
| PackageDescription | The collaborative Filtering methodology has been widely used in
recommendation systems, which uses similarities between users or items
to make recommendations. A class called CF was implemented, where it is
structured by matrices and composed of recommendation and database
manipulation functions. See Aggarwal (2016)
<doi:10.1007/978-3-319-29659-3> for an overview. |
| PackageName | R-CFilt |
| PackageRelease | lp153.2.3 |
| PackageVersion | 0.2.1 |
| SHA-1 | 8207B342E9462CD24A81F9D2BD6E897EDDC9FF57 |
| SHA-256 | E35E2AF408EBFDFC73B08AD579892934254EC4F7EE3C37065B7AD5632BD864F4 |
| Key |
Value |
| MD5 | 77B3856B6DDC1C2ED0D23B3FB1C3EB90 |
| PackageArch | x86_64 |
| PackageDescription | The collaborative Filtering methodology has been widely used in
recommendation systems, which uses similarities between users or items
to make recommendations. A class called CF was implemented, where it is
structured by matrices and composed of recommendation and database
manipulation functions. See Aggarwal (2016)
<doi:10.1007/978-3-319-29659-3> for an overview. |
| PackageName | R-CFilt |
| PackageRelease | 2.20 |
| PackageVersion | 0.2.1 |
| SHA-1 | 896E5BBC98EA6A7D36393B78F509F371285F284B |
| SHA-256 | B8491E94BFF32A4F18C75D3BC1354F10203823C5BC65083F1FB4743130B7767D |
| Key |
Value |
| MD5 | FD78F74943BAA378ABF8E723A3E2B7B7 |
| PackageArch | x86_64 |
| PackageDescription | The collaborative Filtering methodology has been widely used in
recommendation systems, which uses similarities between users or items
to make recommendations. A class called CF was implemented, where it is
structured by matrices and composed of recommendation and database
manipulation functions. See Aggarwal (2016)
<doi:10.1007/978-3-319-29659-3> for an overview. |
| PackageName | R-CFilt |
| PackageRelease | lp152.2.6 |
| PackageVersion | 0.2.1 |
| SHA-1 | 025ADB834B9FEB3B97940A87A26F1D3C8D6B788A |
| SHA-256 | 6B90112950DFB6423FD1E41E75B597116F3D09347E6A7CD0A49961A73A4582D9 |