METHOD AND AN APPARATUS TO PERFORM FEATURE WEIGHTED SEARCH AND RECOMMENDATION

摘要

A method and an apparatus to perform feature weighted data search and recommendation are presented. A process for search and recommendation is driven by agents with features. The process may determine a recommended set of items out of a population of items based on a single sample item or on a sample set of items. The process starts by performing an analysis on a single item or on a set of items. A new set of agents is created by adapting existing agents based on the results of an analysis. A search and recommendation among the population of items is guided by an agent. An agent is adapted according to user feedback. A new agent is created based on a combination of several adapted agents to include the best features of each. Newly created agents are employed to determine recommendations from a population of items by comparing a similarity between an item and an agent. The recommendations are presented to a user through a user interface. The search and recommendation process continues after receiving user feedback in response to the recommendations.