Abstract: A flexible, intelligent electronic procurement method and system that emulates and learns from the adaptive behavior of a user trying to find a product in an electronic catalog. The invention allows for searching heterogeneous catalogs in virtually any format, and does not require pre-defined hierarchies, nor the pre-loading of vendor catalog contents, nor the scrubbing of vendor data. It does not impose fixed structures on the user, and it does not force the user to think like someone else. Instead, the invention allows the user to choose their own way to navigate a catalog of items, and then by recording successful search scenarios and storing that knowledge in a dynamic collection of search paths, the invention organically evolves. As the collection of search paths can be accessed by other users, the utility of the invention increases over time once implemented in a given environment.

Abstract: A flexible, intelligent electronic procurement method and system that emulates and learns from the adaptive behavior of a user trying to find a product in an electronic catalog. In contrast to existing methods and systems, the invention allows for searching heterogeneous catalogs in virtually any format, and does not require pre-defined hierarchies, nor the pre-loading of vendor catalog contents, nor the scrubbing of vendor data. It does not impose fixed structures on the user, it does not require the user to start ‘from scratch’ when looking for a new item, and it does not force the user to think like someone else. Instead, the invention allows the user to choose his own way to navigate catalogs of items, and then, by remembering successful search scenarios, and storing that knowledge in a dynamic, growing database (or ‘forest’) of collected search paths, or ‘find-trees’, the invention grows and improves, that is, it evolves organically over time.

Abstract: A flexible, intelligent electronic procurement method and system that emulates and learns from the adaptive behavior of a user trying to find a product in an electronic catalog. In contrast to existing methods and systems, the invention does not require the pre-loading of index hierarchies, it does not impose fixed structures on the user, it does not require the user to start ‘from scratch’ when looking for a new item, and it does not force the user to think like someone else. Instead, the invention allows the user to choose his own way to navigate catalogs of items, and then, by remembering successful search scenarios, and storing that knowledge in a dynamic, growing database (or ‘forest’) of collected search paths, or ‘trees’, the invention evolves ‘organically’ over time. Thus, the utility of the invention increases over time once implemented in a given environment.