Don’t Filter… Match
The previous article presented the limitations of binary filters.
MyDreamMatch solves these limitations as follows:
- Many useful criteria. The number of responses to a search does not depend on the number of criteria. The greater the number of criteria, the more relevant the answers. If certain criteria do not match offer and demand, the score relevance decreases, and the product appears later in the list of results. MyDreamMatch makes it possible to compromise between many criteria.
- Emotional approach. MyDreamMatch gets out of the cognitive, logical and rational approach to enter into an emotional approach. It understands the user’s needs for categories of subjective criteria such as style, usage, experience, location or welfare. This approach brings a new dimension to the consumption. It settles in continuity of offer adjustment with fundamental needs and wishes of the user. It transforms the user – seller relationship to proceed to a consumption experience with a user – advisor relationship.
- Relevance. MyDreamMatch classifies responses in order of relevance with an association score between an offer and user profile. The user naturally looks first at the most relevant answers with the highest score. Then he looks at the following answers if the first ones do not suit him. It is always he who chooses, and he saves considerable time in his purchasing process.
- Much information about user needs and intentions. The user’s fast learning algorithm learns and understands what the user is really looking for and is not necessarily able to explain. They are essential information to present to the user the selection of products, services, partners or information of any kind that really match. They allow the site owner to better adapt its offer to the needs of users.
Software engineer from Supélec Paris, I worked as a developer, architect and then manager for many years at the Research Center of IBM and then in the Cisco European organization.
Passionate about Artificial Intelligence, I decided in 2015 to create my company MyDreamMatch in order to make personalized recommendations accessible and easy to use by the largest number of web sites.