Difference between revisions of "LDOS Comoda"
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| − | The LDOS-CoMoDa is a dataset of movie ratings with users (ratters) context recorded. It contains twelve contextual variables. | + | The LDOS-CoMoDa is a dataset of movie ratings with users (ratters) context recorded. It contains twelve contextual variables that are potentially relevant in the process of movie selection. |
| − | It can be | + | It can be obtained from [http://www.ldos.si/comoda.html here]. |
| + | |||
| + | The description: | ||
| + | <pre> | ||
| + | LDOS - CoMoDa dataset | ||
| + | |||
| + | ______________________ | ||
| + | Data fields: | ||
| + | versionDate: date of the dataset version | ||
| + | userID (15 - 200, some missing) | ||
| + | itemID (1 -4138, some missing) | ||
| + | rating (1-5) | ||
| + | user's age | ||
| + | user's sex (1=male, 2= female) | ||
| + | user's city | ||
| + | user's country | ||
| + | time (1-4) | ||
| + | daytype (1-3) | ||
| + | season (1-4) | ||
| + | location (1-3) | ||
| + | weather (1-5) | ||
| + | social (1-7) | ||
| + | endEmo(1-7) | ||
| + | dominantEmo (1-7) | ||
| + | mood (1-3) | ||
| + | physical (1-2) | ||
| + | decision (1-2) | ||
| + | interaction (1-2) | ||
| + | movie director | ||
| + | movie's country | ||
| + | movie's language | ||
| + | movie's year | ||
| + | genre1 | ||
| + | genre2 | ||
| + | genre3 | ||
| + | actor1 | ||
| + | actor2 | ||
| + | actor3 | ||
| + | movie's budget | ||
| + | |||
| + | _______________________ | ||
| + | Context variables: | ||
| + | time : Morning, Afternoon, Evening, Night | ||
| + | daytype : Working day, Weekend, Holiday | ||
| + | season : Spring, Summer, Autumn, Winter | ||
| + | location : Home, Public place, Friend's house | ||
| + | weather : Sunny / clear, Rainy, Stormy, Snowy, Cloudy | ||
| + | social : Alone, My partner, Friends, Colleagues, Parents, Public, My family | ||
| + | endEmo : Sad, Happy, Scared, Surprised, Angry, Disgusted, Neutral | ||
| + | dominantEmo : Sad, Happy, Scared, Surprised, Angry, Disgusted, Neutral | ||
| + | mood : Positive, Neutral, Negative | ||
| + | physical : Healthy, Ill | ||
| + | decision : User decided which movie to watch, User was given a movie | ||
| + | interaction : first interaction with a movie, n-th interaction with a movie | ||
| + | |||
| + | Context values in the database corespond to this order. | ||
| + | (for example: daytype-> 1 = Working day, 2 = Weekend, 3 = Holiday) | ||
| + | _______________________ | ||
| + | Missing value: | ||
| + | -1 | ||
| + | </pre> | ||
| + | |||
| + | [[Category: Dataset]] | ||
| + | [[Category: Movie recommendation]] | ||
Revision as of 10:02, 21 October 2013
The LDOS-CoMoDa is a dataset of movie ratings with users (ratters) context recorded. It contains twelve contextual variables that are potentially relevant in the process of movie selection.
It can be obtained from here.
The description:
LDOS - CoMoDa dataset ______________________ Data fields: versionDate: date of the dataset version userID (15 - 200, some missing) itemID (1 -4138, some missing) rating (1-5) user's age user's sex (1=male, 2= female) user's city user's country time (1-4) daytype (1-3) season (1-4) location (1-3) weather (1-5) social (1-7) endEmo(1-7) dominantEmo (1-7) mood (1-3) physical (1-2) decision (1-2) interaction (1-2) movie director movie's country movie's language movie's year genre1 genre2 genre3 actor1 actor2 actor3 movie's budget _______________________ Context variables: time : Morning, Afternoon, Evening, Night daytype : Working day, Weekend, Holiday season : Spring, Summer, Autumn, Winter location : Home, Public place, Friend's house weather : Sunny / clear, Rainy, Stormy, Snowy, Cloudy social : Alone, My partner, Friends, Colleagues, Parents, Public, My family endEmo : Sad, Happy, Scared, Surprised, Angry, Disgusted, Neutral dominantEmo : Sad, Happy, Scared, Surprised, Angry, Disgusted, Neutral mood : Positive, Neutral, Negative physical : Healthy, Ill decision : User decided which movie to watch, User was given a movie interaction : first interaction with a movie, n-th interaction with a movie Context values in the database corespond to this order. (for example: daytype-> 1 = Working day, 2 = Weekend, 3 = Holiday) _______________________ Missing value: -1
