Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving search queries from users, coordinating displaying of search results for the search queries, receiving an indication that the users selected products in the search results, associating each search query with a product type based on products selected by the users, identifying product attributes in each search query, determining an attribute weight for each product attribute for the product type, determining which product attributes are recorded in product information for each product, determining a product attribute score for each product, receiving an additional search query, and selecting a first portion of products for display in additional search results for the additional search query.

Abstract: Computer-implemented methods, articles of manufacture and systems for identifying an on-line bank account that is a business account or utilized for business purposes. Keywords are determined and comparisons are performed with different types of financial account data and data from different resources. Comparison results are embodied within a data set that is generated and provided as an input to a rule generator such as a rule-based classifier. The rule-based classifier outputs a rule utilized to determine whether an account is a business account or utilized for business purposes, in contrast to a personal account utilize for non-business, personal or residential matters.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of displaying a plurality of facets of a product type on a website of an online retailer in a plurality of facet orders, determining a first individual number of times a facet was selected when in a first position, determining a second individual number of times the facet was selected when in a second position, estimating a first estimated number of times the facet would have been selected if the facet had been in the first position rather than the second position, determining a ranking of the plurality of facets, and coordinating displaying at least a portion of the plurality of facets on the website of the online retailer in an order of the ranking.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving search queries from users, coordinating displaying of search results for the search queries, receiving an indication that the users selected products in the search results, associating each search query with a product type based on products selected by the users, identifying product attributes in each search query, determining an attribute weight for each product attribute for the product type, determining which product attributes are recorded in product information for each product, determining a product attribute score for each product, receiving an additional search query, and selecting a first portion of products for display in additional search results for the additional search query.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of displaying a plurality of facets of a product type on a website of an online retailer in a plurality of facet orders, determining a first individual number of times a facet was selected when in a first position, determining a second individual number of times the facet was selected when in a second position, estimating a first estimated number of times the facet would have been selected if the facet had been in the first position rather than the second position, determining a ranking of the plurality of facets, and coordinating displaying at least a portion of the plurality of facets on the website of the online retailer in an order of the ranking.

Abstract: A computer-implemented method of detecting a merchant with chargeback activity includes a computing device receiving merchant financial data from a plurality of different financial service providers, wherein the merchant financial data comprises chargebacks. The computing device aggregates the received merchant financial data into, for example, a database. The computing device analyzes the aggregated merchant financial data of a single merchant for a chargeback characteristic and the computing device flags the merchant when the chargeback characteristic exceed preset threshold levels. A flagged merchant may trigger an optional notification to one or more of the financial service provider (e.g., card issuer), the acquiring bank, the merchant, or the customer.

Abstract: A computer-implemented method of detecting suspected financial fraudulent activity includes a computing device receiving financial data from a plurality of different financial service providers associated with a user. The computing device aggregates the received financial data for the user and analyzes the aggregated financial data for suspicious financial activity. The computing device alerts a user and at least one of the plurality of different service providers when suspicious financial activity is detected.

Abstract: A list of known names of entities is obtained along with entity name search data entered by searching parties in an attempt to identify one or more entities. The historical entity name search data entered by each individual searching party in a defined search time window is aggregated and analyzed to identify pairs of potentially related entity name searches that represent two attempts by the searching party to identify the same entity. The data representing the potentially related entity name searches is analyzed to identify a matched entity name in the list of known names that matches one of the entity names of the pair of potentially related entity name searches. Both of the entity names of the pair of potentially related entity name searches are then added to an alias list associated with the matched entity name.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: Financial data is obtained from two or more types of financial management systems and analyzed to obtain potential entities data identifying potential entities and attributes associated with the potential entities. Duplicate potential entity data is then identified and eliminated to generate a master entity list. The financial data is also analyzed to identify potential commercial transaction data and one or more attributes associated with the commercial transaction data, including data indicating commercial transactions and the parties associated with the commercial transactions. The commercial transaction data is then analyzed using the master entity list to match entities listed in the master entity list with the parties associated with the commercial transactions. The matched entities are then substituted for the respectively matched parties associated with the commercial transactions to create a master commercial transaction list.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: During a search technique, results for a commerce query associated with a desired financial transaction are determined using information in a data structure that specifies a commerce graph. This commerce graph may include nodes and branches indicating financial interrelationships among a set of entities (such as individuals or businesses), and the financial interrelationships may include: inputs to the set of entities, outputs from the set of entities, and previous financial transactions among the set of entities.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing the text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time; for example, upon logging onto a web site or as the client views additional documents or pages of a website. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: A method involves classifying a financial transaction of an item. The method steps include receiving a text description of the item, processing the text description to generate a search term, selecting a set of named categories, conducting a first search for the search term and each named category, processing first results of the first search, calculating an affinity score for each named category, identifying a first target affinity score, identifying a target category from the set of named categories, presenting the text description and the target category, receiving feedback that the target category is incorrect, generating a revised set of named categories by removing the target category from the set of named categories, conducting a second search for the search term and each of the revised set of named categories, and presenting a revised target category.

Abstract: An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives, production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing the text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time; for example, upon logging onto a web site or as the client views additional documents or pages of a website. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Abstract: An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.