Extraction and Integration of MovieLens and IMDb Data - APMD

u.genre
Verónika Peralta
This file contains data about 19 movie genres (1 genre in each line). This is a pipe-separated list of GenreID and
GenreName, where
− GenreID is an integer, ranging from 0 to 18, that identifies a genre.
− GenreName is a String describing the genre. Genre names corresponds to genre columns of the u.item
file.
Figure 7 shows an extract of the file corresponding to 5 genres.
u.user
unknown|0
Action|1
Adventure|2
Animation|3
Children's|4
Figure 7 – Extract of the u.genre file
This file contains data about 943 users (1 user in each line). This is a pipe-separated list of UserID, Age, Gender,
Occupation and Zip-code, where:
− UserID is an integer, ranging from 1 to 943, that identifies a user
− Age is an integer indicating user’s age
− Gender is denoted by a "M" for male and "F" for female
− Occupation is an String indicating user occupation.
− Zip-code is a five-digits integer indicating user ZIP-code.
All demographic information was provided voluntarily by the users and was not checked for accuracy. Only
users who have provided some demographic information are included in this data set. Figure 8 shows an extract
of the file corresponding to 5 users.
u.occupation
1|24|M|technician|85711
2|53|F|other|94043
3|23|M|writer|32067
4|24|M|technician|43537
5|33|F|other|15213
Figure 8 – Extract of the u.user file
This file lists 21 user occupations (1 occupation in each line). Figure 9 shows an extract of the file corresponding
to 5 occupations.
2.2. MovieLens target schemas
administrator
artist
doctor
educator
engineer
Figure 9 – Extract of the u.occupations file
Both MovieLens data set were extracted to a Microsoft Access® database. The following sub-sections describe
the target schemas for both data sets.
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