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  license: apache-2.0
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ language:
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+ - en
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+ pretty_name: FRAPPE datset
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+
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+ **Dataset Description: Frappe Processed Dataset**
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+
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+ The Frappe dataset has been processed to refine the quality of user-item interactions by removing entries where either users or items had fewer than 5 interactions. This pruning resulted in a significant reduction in the dataset size:
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+
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+ - **Number of Users**: 651 (a reduction of 31.97% from the original dataset)
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+ - **Number of Items**: 1127 (a reduction of 72.39%)
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+ - **Total Number of Interactions**: 84,373 (a reduction of 12.30%)
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+
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+ **Columns Overview**:
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+ The dataset includes 24 columns that capture a variety of features, structured as follows:
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+
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+ - **Basic Features**:
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+ - `user`: User identifier
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+ - `item`: Item identifier
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+ - `rating`: Rating given by the user
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+ - `cnt`: Count of interactions
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+
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+ - **Time of Day Features** (Encoded as one-hot):
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+ - `daytime_afternoon`
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+ - `daytime_evening`
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+ - `daytime_morning`
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+ - `daytime_night`
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+ - `daytime_noon`
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+ - `daytime_sunrise`
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+ - `daytime_sunset`
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+
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+ - **Weather Conditions** (Encoded as one-hot):
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+ - `weather_cloudy`
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+ - `weather_drizzle`
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+ - `weather_foggy`
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+ - `weather_rainy`
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+ - `weather_snowy`
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+ - `weather_stormy`
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+ - `weather_sunny`
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+ - `weather_unknown`
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+
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+ - **Weekend Indicator**:
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+ - `isweekend_weekend`
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+ - `isweekend_workday`
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+
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+ - **Location of Use (Home or Work)**:
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+ - `homework_home`
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+ - `homework_unknown`
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+ - `homework_work`
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+
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+ This dataset is designed for use in building Context-Aware Recommender Systems (CARS), offering rich features that capture temporal dynamics, environmental conditions, and user contexts, which are critical for personalized recommendations.
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+
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+ **Any scientific publications that use this data set should cite the following paper as the reference:**
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+ @Article{frappe15,
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+ title={Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild},
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+ author = {Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver},
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+ date={2015},
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+ urldate={2015-05-12},
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+ eprinttype={arxiv},
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+ eprint={arXiv:1505.03014}
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+ }
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+
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+ Nobody guarantees the correctness of the data, its suitability for any particular purpose,
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+ or the validity of results based on the use of the data set. The data set may be used for any
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+ research purposes under the following conditions:
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+ * The user must acknowledge the use of the data set in publications resulting from the use of the data set.
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+ * The user may not redistribute the data without separate permission.
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+ * The user may not try to deanonymise the data.
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+ * The user may not use this information for any commercial or revenue-bearing purposes without first obtaining permission from us.
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+
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+ In no event anyone involved in frappe project be liable to you for any damages arising out of the use or inability to use the
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+ associated scripts (including but not limited to loss of data or data being rendered inaccurate).