Method of assessing consumer preference tendencies based on a user's own correlated information

摘要

Assessing consumer preference tendencies is performed by storing a N-dimensional data representation of users' consumer-history data with N2. The users' consumer-history data relates to items that are associated, at least temporarily, with users. E item is categorizable as a consumer good, a service, or an opinion. First data is received relating to two other items that are selected for purchase by a first user during a current purchase session. Each one of the two other items is also categorizable as a consumer good, a service, or an opinion. A predetermined process is then used to map the first data onto the N-dimensional data representation. This mapped first data is analyzed to correlate the first data with portions of the N-dimensional data representation for identifying items that most highly correlate with the first data. Based on the identified correlation, second data is retrieved from memory relating to an identified item for being suggested to the first user as an additional item to be purchased during the current purchase session. This suggested item is then indicated to the user.