METHOD AND SYSTEM FOR NON-MARKOV BASED PRODUCT RECOMMENDATION

摘要

A method for identifying consumer purchase probability includes: storing transaction data entries, each entry including a transaction time, a consumer identifier, and a first product identifier or second product identifier; receiving transaction data for a specific consumer's transaction including a purchase time and the first product identifier; identifying a present time; calculating a ratio of consumers that have purchased the first and second products to consumers that have only purchased the first product; calculating, for consumer that have purchased both products, an average time interval based on a difference in the transaction time for purchase of the first product and transaction time for purchase of the second product; calculating a recency time based on time between the present time and the purchase time; and calculating a probability that the specific consumer will purchase the second product based on the calculated ratio of consumers, average time interval, and recency time.