vehicle: In Vehicle Coupon Recommendation Data

In LFM: Laplace Factor Model Analysis and Evaluation

In Vehicle Coupon Recommendation Data

Description

This dataset contains information about coupon recommendations made to drivers in a vehicle, including various contextual features and the outcome of whether the coupon was accepted.

Usage

vehicle

Format

A data frame with multiple rows and 27 columns representing different features related to coupon recommendations.

• destination: Driver's destination - No Urgent Place, Home, Work.

• passanger: Passengers in the car - Alone, Friend(s), Kid(s), Partner.

• weather: Current weather - Sunny, Rainy, Snowy.

• temperature: Temperature in Fahrenheit - 55, 80, 30.

• time: Time of day - 2PM, 10AM, 6PM, 7AM, 10PM.

• coupon: Type of coupon - Restaurant(<$20), Coffee House, Carry out & Take away, Bar, Restaurant($20-$50).

• expiration: Coupon expiration - 1d (1 day), 2h (2 hours).

• gender: Driver's gender - Female, Male.

• age: Driver's age group - 21, 46, 26, 31, 41, 50plus, 36, below21.

• maritalStatus: Driver's marital status - Unmarried partner, Single, Married partner, Divorced, Widowed.

• has_Children: Whether the driver has children - 1, 0.

• education: Driver's education level - Some college - no degree, Bachelors degree, Associates degree, High School Graduate, Graduate degree (Masters or Doctorate), Some High School.

• occupation: Driver's occupation - Various categories including Unemployed, Student, etc.

• income: Driver's income range - Various ranges such as $37500 - $49999, $62500 - $74999, etc.

• Bar: Frequency of bar visits per month - never, less1, 1~3, gt8, nan4~8.

• CoffeeHouse: Frequency of coffeehouse visits per month - never, less1, 4~8, 1~3, gt8, nan.

• CarryAway: Frequency of getting take-away food per month - n4~8, 1~3, gt8, less1, never.

• RestaurantLessThan20: Frequency of visiting restaurants with average expense <$20 per month - 4~8, 1~3, less1, gt8, never.

• Restaurant20To50: Frequency of visiting restaurants with average expense $20-$50 per month - 1~3, less1, never, gt8, 4~8, nan.

• toCoupon_GEQ15min: Driving distance to the coupon location greater than 15 minutes - 0, 1.

• toCoupon_GEQ25min: Driving distance to the coupon location greater than 25 minutes - 0, 1.

• direction_same: Whether the coupon location is in the same direction as the current destination - 0, 1.

• direction_opp: Whether the coupon location is in the opposite direction of the current destination - 1, 0.

• Y: Whether the coupon was accepted - 1, 0.

Details

The dataset includes various contextual features such as driver demographics, weather conditions, time of day, and coupon details. It also includes features related to driving habits and preferences. The target variable is whether the coupon was accepted (Y).

Note

This dataset can be used for classification tasks to predict coupon acceptance based on contextual features.

Source

UCI Machine Learning Repository

Examples

# Load the dataset
data(vehicle)

# Print the first few rows of the dataset
print(head(vehicle))

LFM documentation built on April 16, 2025, 9:07 a.m.