Patterns learned from the behavior and preferences of users with similar profiles

Content features extracted directly from items a user has interacted with

Expert-defined rules created by system designers

Explicit demographic information such as age, gender, and location

By applying fixed pricing rules that remain unchanged over time

By setting identical prices for all customers regardless of context

By relying mainly on manual price adjustments made by managers

By adjusting prices dynamically using data on demand, supply, customer behavior, and market conditions

Website Traffic Data

Historical Incident Data

Product Inventory Data

Employee Performance Data

To replace all computer hardware with biological brain tissue

To develop rule-based systems that never learn or adapt

To eliminate the need for data in decision-making

To create algorithms that can learn and adjust their behavior from data

It simplifies the categorization of text

It increases the difficulty of analyzing historical data

It makes documents easier to analyze over time

It has no impact on data analysis