What Data is Required for Effective Recommendation Engines?
To make accurate recommendations, engines need access to diverse and comprehensive data. Some critical data points include:
- User Purchase History: Information about past purchases helps in understanding user preferences. - Browsing Behavior: Pages visited, time spent on each page, and items viewed provide insights into user interests. - Demographic Information: Age, gender, location, and other demographic data can help tailor recommendations more precisely. - Feedback and Ratings: User feedback and ratings on products or content can refine the accuracy of recommendations.