User Profiling – know your customers’ interests
Our profiling engine can learn demographics and niche interests of your customers or visitors from text or item-based data.
- Text-based inputs may include web-sites that a user has visited, or comments they have made.
- Item-based inputs may include the list of items that a user has viewed or purchased.
- Profiling can take into account time and location.
The user-profiler can be setup to classify users into demographic boxes (e.g. by gender, approximate age, earning bracket) and can provide detailed, machine-readable profiles of each user’s interests and habits. The more information that is available on the user, the more detailed and reliable the profile becomes.
The user-profiling engine is not only applicable to retail scenarios. It is relevant to any company wishing to:-
- Increase revenues through direct advertising.
- Extract valuable market intelligence.
- Spot trends among their customer or user-base.
ThinkTank’s core technology is a specialist software toolkit, including an extensive Natural Language Processing (NLP) library coupled with state-of-the-art statistical learning and inference algorithms. Our framework allows us to rapidly develop, test, deploy and maintain sophisticated systems. It is highly scalable and works with many languages besides English.
Whitepapers
Please contact us at to obtain access to our whitepaper “Seizing the Long Tail”.
