Abstract: An embodiment of the present invention is directed to generating an n-gram-based string similarity score where the n-grams sourcing from frequent words, given the context of interest, may be under-weighted and the n-grams sourcing from infrequent words, given the context of interest, may be over-weighted. An embodiment of the present invention is directed to defining a weight for each 2-gram depending on whether or not the word from which it sourced was frequent based on the relevant context.

Abstract: The invention relates to a computer-implemented system and method for uniquely identifying a merchant from a transaction string transmitted by a payment network. The method may comprise the steps of: gathering input information, including receiving the transaction string from the payment network and receiving from a data provider a data set containing merchant information; cleansing the transaction string; executing a match process between the transaction string and the data set from data provider to find the best merchant match; wherein the match process comprises using a logistic regression model, a waterfall process, or an override process; consolidating results of the matching process to create a master lookup table having attributes from transaction strings mapped to matching merchant attributes from the data provider data set; and executing a transaction tagging process on a received transaction string.

Abstract: The invention relates to an engine that generates client profile-based sales decisions. An embodiment of the present invention is directed to providing new insights to strengthen opportunities to provide additional services to clients. The system is directed to developing client profile-based recommendations for trade ideas. For example, the innovative engine may recommend opportunities, such as new trade ideas, to a particular client based upon the client's transaction history, as well as other data and factors. The system may generate an account profile based upon client data and use this profile to score a potential new trade idea.

Abstract: An embodiment of the present invention is directed to generating an n-gram-based string similarity score where the n-grams sourcing from frequent words, given the context of interest, may be under-weighted and the n-grams sourcing from infrequent words, given the context of interest, may be over-weighted. An embodiment of the present invention is directed to defining a weight for each 2-gram depending on whether or not the word from which it sourced was frequent based on the relevant context.