The disclosed computer-implemented method for incentivizing sharing of transaction information may include receiving transaction data of a transaction between a user and a merchant. A portion of a transaction amount may be reserved. The method may include receiving the reserved portion for adding to a fund and aggregating the transaction data with collected transaction data from a plurality of users. The method may further include providing the aggregated transaction data. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods are disclosed for determining a propensity of an entity to take a specified action. In accordance with one implementation, a method is provided for determining the propensity. The method includes, for example, accessing one or more data sources, the one or more data sources including information associated with the entity, forming a record associated with the entity by integrating the information from the one or more data sources, generating, based on the record, one or more features associated with the entity, processing the one or more features to determine the propensity of the entity to take the specified action, and outputting the propensity.

A sequential data analysis apparatus extracts a pattern of two or more sets of items based on an appearance frequency of each of different sets of items in first sequential data, selects a pattern of two or more sets of items based on an appearance frequency of a sub-pattern formed of a portion of the extracted pattern, creates a related pattern including the same last set of items as and the other sets of items different from the selected characteristic pattern, calculates an evaluation value of the related pattern, creates a prediction model by organizing data of the characteristic pattern and the related pattern, and applies second sequential data to the prediction model to determine a result which the second sequential data is likely to lead to.

Block chain based, decentralized transaction settlement systems and methods for wireless electric vehicle charging stations which enables real-time monitoring of electric vehicle charging demand for distribution system managers. The system is operable to enable easy implementation of rebate programs for electric vehicle owners, as well as charging station owners, and provides a secure, cost efficient, and transparent transaction settlement system using block chain software technology.

In one example, the present disclosure describes a device, computer-readable medium, and method for scaling network capacity predictively, based on customer interest. For instance, in one example, a method includes predicting an interest of a first customer in data content that will be available for consumption over a data network at a time in the future, wherein the predicting is based on customer data including at least a search pattern associated with the first customer, flagging the data content when the predicting indicates at least a threshold degree of likelihood that the first customer will be interested in the data content, and scaling an allocation of resources of the data network to the first customer, based on the flagging.

Disclosed herein is a system and method to any two or more MLMs to be merged into a multiline MLM system despite having different commission structures. Each member of the original MLMs is able to maintain their existing downlines without any changes. Further the existing MLM members have full access to the multi-line MLM commission structure, for example, a member of a binary MLM may now add a 3rd, 4th, 5th, etc. line if they choose. The multiline commission plan will be different than the commission plans from any of the original MLMs but this change should not affect the income of a large portion of users, and users that are affected by the changeover can be compensated or made whole on an individual level. In addition to this multiline commission plan, the commission structure of the original MLMs has been broken into several separate ‘types’ which together form a MLM system. These ‘types’ include the income received from downline commission based on position and the income received based on enrolling a member in the MLM, also known as sponsorship. These commission structures may be maintained after the merger for each specific MLM that was merged. This way members of the multiline MLM have access to both their original downlines and commission plan while still being able to take advantage of the features and commission plan of the multiline MLM.

Disclosed herein is a system and method to any two or more MLMs to be merged into a multiline MLM system despite having different commission structures. Each member of the original MLMs is able to maintain their existing downlines without any changes. Further the existing MLM members have full access to the multi-line MLM commission structure, for example, a member of a binary MLM may now add a 3rd, 4th, 5th, etc. line if they choose. The multiline commission plan will be different than the commission plans from any of the original MLMs but this change should not affect the income of a large portion of users, and users that are affected by the changeover can be compensated or made whole on an individual level. In addition to this multiline commission plan, the commission structure of the original MLMs has been broken into several separate ‘types’ which together form a MLM system. These ‘types’ include the income received from downline commission based on position and the income received based on enrolling a member in the MLM, also known as sponsorship. These commission structures may be maintained after the merger for each specific MLM that was merged. This way members of the multiline MLM have access to both their original downlines and commission plan while still being able to take advantage of the features and commission plan of the multiline MLM.

A demand forecasting method and a demand forecasting apparatus are provided. A preliminary prediction amount corresponding to a part number is obtained based on historical demand data. A demand probability of the part number is calculated based on the preliminary prediction amount. A prediction demand amount corresponding to the part number is obtained based on the historical demand data, the preliminary prediction amount and the demand probability.

According to one embodiment of the present invention, a system for modifying content associated with an item comprises at least one processor. Features of interest of the item to a plurality of different groups are determined based on user comments produced by members of the plurality of different groups. The members within each group have a common characteristic. The features of interest to each group within the content associated with the item are identified, and the content associated with the item is modified by balancing the features of interest to the plurality of different groups within the content associated with the item. Embodiments of the present invention further include a method and computer program product for modifying content associated with an item in substantially the same manner described above.

According to one embodiment of the present invention, a system for modifying content associated with an item comprises at least one processor. Features of interest of the item to a plurality of different groups are determined based on user comments produced by members of the plurality of different groups. The members within each group have a common characteristic. The features of interest to each group within the content associated with the item are identified, and the content associated with the item is modified by balancing the features of interest to the plurality of different groups within the content associated with the item. Embodiments of the present invention further include a method and computer program product for modifying content associated with an item in substantially the same manner described above.