NEURAL NETWORK FOR INCREASING RELIGIOUS CAMPAIGN ACTIVITY EFFECTIVENESS

20210383288

16/891500

June 03, 2020

A neural network, according to various embodiments, comprises: (1) a plurality of nodes that mimic the operation of the human brain; (2) a training mechanism that analyzes supplied information, and (3) a religious activity sequence determination engine for determining an order in which various religious activities (such as one or more outreach activities) should be executed in order to maximize a desired effect of the activities (e.g., a conversion of an individual to a particular religion). In various embodiments, each of the nodes comprises one or more weighted input connections, at least one transfer function that combines the inputs, and an output connection. In particular embodiments, the neural network is a variational AE neural network, a denoising AE neural network, or any other suitable neural network.

1-23. (canceled)

24. A computer-implemented method of determining an optimized order of a plurality of religious activities, the method comprising: providing a neural network comprising a plurality of nodes that mimic the operation of the human brain; providing a training mechanism that analyzes supplied information; and providing a religious activity order determination engine for using the results of artificial intelligence processing to automatically determine an optimized order for a plurality of religious activities based on the analysis of the supplied information by executing a plurality of steps comprising: using one or more computer processors to present, to a user, a set of one or more religious activities from the plurality of religious activities; using one or more computer processors to receive an indication that the user wishes to engage in a particular religious activity from the set of one or more religious activities; at least partially in response to receiving the indication that the user wishes to engage in the religious activity, using one or more computer processors to facilitate the religious activity by communicating a cue to the user to engage in the religious activity; using one or more computer processors to receive an indication of an outcome selected from a group consisting of: (a) that the user engaged in the religious activity; (b) that the user attended a religious service; (c) that a guest of the user converted to a religion; and (d) that a guest of the user became a member of a religious organization; at least partially in response to receiving the indication of the outcome, using one or more computer processors to calculate a performance score value based at least in part on the indication of the outcome; using one or more computer processors to calculate an optimized order for the plurality of religious activities by analyzing the performance score value; and storing the optimized order for the plurality of religious activities in computer memory.

25. The computer-implemented method of claim 24, wherein the plurality of religious activities comprises at least one religious activity selected from a group consisting of: (a) prayer, (b) fasting, (c) religious study, (c) attending a religious event, (d) inviting others to participate in one or more religious activities, and (e) inviting others to participate in one or more social activities.

26. The computer-implemented method of claim 24, wherein calculating the performance score value comprises applying a weighting factor to an amount of the religious activity that the user engaged in, the weighting factor corresponding to a type of religious activity that the user engaged in.

27. The computer-implemented method of claim 24, wherein calculating the performance score value is based, at least in part, on an amount of the religious activity that the user engaged in.

28. The computer-implemented method of claim 24, wherein presenting, to a user, a set of one or more religious activities is based, at least in part, on a ranking of a religious activity within the set of religious activities.

29. The computer-implemented method of claim 28, wherein: the religious activity is a first religious activity; and calculating an optimized order for the plurality of religious activities by analyzing the performance score value comprises: computing a first effectiveness score value for the first religious activity by comparing the performance score value to a threshold performance score value for the first religious activity; comparing the first effectiveness score value for the first religious activity to a respective second effectiveness score value for a second religious activity selected from the set of religious activities to determine whether a statistically significant difference exists between the first effectiveness score and the second effectiveness score; and adjusting the rank of the first religious activity within the set of religious activities based on the comparison of the first effectiveness score value to the second effectiveness score.

30. The computer-implemented method of claim 29, wherein adjusting the rank of the first religious activity within the set of religious activities further comprises removing the first religious activity from the set of religious activities.

31. The computer-implemented method of claim 29, wherein the threshold performance score value is equal to the performance score value.

32. A computer-implemented method of determining an optimized order of a plurality of religious activities, the method comprising: providing a neural network comprising a plurality of nodes that mimic the operation of the human brain; providing a training mechanism that analyzes supplied information; and providing a religious activity order determination engine for using the results of artificial intelligence processing to automatically determine an optimized order for a plurality of religious activities based on the analysis of the supplied information, wherein: the supplied information comprises: (1) information regarding a respective order in which a plurality of religious activities were executed by each of a plurality of individuals; and (2) information regarding whether, for each of the plurality of individuals, the execution of the religious activities resulted in a particular individual attending one or more religious services; and determining the optimized order for the plurality of religious activities comprises determining an optimized order for executing the plurality of religious activities that maximizes persuading individuals to attend one or more religious services.

33. The computer-implemented method of claim 32, wherein the plurality of religious activities comprise at least one religious activity selected from a group consisting of: (1) praying for a particular individual; (2) calling a particular individual; and (3) inviting a particular individual to attend a church service.

34. The computer-implemented method of claim 33, wherein the plurality of religious activities comprise praying for a particular individual.

35. The computer-implemented method of claim 33, wherein the plurality of religious activities comprise calling a particular individual.

36. The computer-implemented method of claim 33, wherein the plurality of religious activities comprise inviting a particular individual to attend a church service.

37. The computer-implemented method of claim 32, wherein the religious activity order determination engine is adapted to use one or more big data processing techniques to determine the optimized order for executing the plurality of religious activities based on the analysis of the supplied information.

38. The computer-implemented method of claim 37, wherein the supplied information comprises data from a plurality of members of the church of a particular user who is to use the optimized order to persuade a particular individual to attend the one or more religious services.

39. The computer-implemented method of claim 38, wherein the supplied information comprises data from a plurality of members from a plurality of churches other than the church of the particular user who is to use the optimized order to persuade a particular individual to attend the one or more religious services.

40. The computer-implemented method of claim 39, wherein the religious activity order determination engine is adapted to, for each respective one of a plurality of religious activities: compare an effectiveness score value for the respective religious activity with the respective effectiveness score value of a plurality of other activities within a set of candidate religious activities to be presented to a particular user to engage in in order to persuade a particular individual to attend one or more religious services; and in response to determining that a statistically significant difference exists between the effectiveness score value for a first of the respective religious activities and a second of the respective religious activities, changing the order in which the first and second respective religious activities are to be executed within the optimized order.

41. The computer-implemented method of claim 39, wherein the religious activity order determination engine is adapted to, for each respective one of a plurality of religious activities: compare an effectiveness score value for the respective religious activity with the respective effectiveness score value of each of a plurality of other activities within a set of candidate religious activities to be presented to a particular user to engage in in order to persuade a particular individual to attend one or more religious services; and in response to determining that a statistically significant difference exists between the effectiveness score value for a first of the respective religious activities and a second of the respective religious activities, removing the first respective religious activity from the optimized order.

42. The computer-implemented method of claim 32, wherein the religious activity order determination engine is adapted to, for each respective one of a plurality of religious activities: compare an effectiveness score value for the respective religious activity with the respective effectiveness score value of a plurality of other activities within a set of candidate religious activities to be presented to a particular user to engage in in order to persuade a particular individual to attend one or more religious services; and in response to determining that a statistically significant difference exists between the effectiveness score value for a first of the respective religious activities and a second of the respective religious activities, changing the order in which the first and second respective religious activities are to be executed within the optimized order.

43. The computer-implemented method of claim 32, wherein the religious activity order determination engine is adapted to, for each respective one of a plurality of religious activities: compare an effectiveness score value for the respective religious activity with the respective effectiveness score value of each of a plurality of other activities within a set of candidate religious activities to be presented to a particular user to engage in in order to persuade a particular individual to attend one or more religious services; and in response to determining that a statistically significant difference exists between the effectiveness score value for a first of the respective religious activities and a second of the respective religious activities, removing the first respective religious activity from the optimized order.

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edspap.20210383288