Recommendation machine

Abstract

A machine may be configured as a recommendation machine that makes one or more recommendations to one or more users. The machine may provide a recommendation based on one or more psychometric profiles that correspond to a user, a product, a manager for the product, or any suitable combination thereof. The user may be a potential buyer of the product, and the manager for the product may fully or partially manage the product and consequently affect the value of the product. The user's psychometric profile may describe market understanding and risk tolerance possessed by the user, and the manager's psychometric profile may describe market understanding and risk tolerance held by the manager. Such psychometric profiles may be used to make recommendations of products. In addition, a psychometric profile for the product itself may be used in the making of such recommendations.

1 . A method comprising:
 by one or more processors of a machine, accessing first psychometric profile data stored in memory, the first psychometric profile data being associated with a user, the first psychometric profile data including a machine-generated market model of the user and a machine-generated risk model of the user, the machine-generated market model being generated from user input data indicative of extents to which the user agrees with a set of presented statements that characterize a market for products, the machine-generated risk model being generated from user input data indicative of a result of an implicit association test completed by the user;   by one or more processors of the machine, accessing reference psychometric profile data that includes a plurality of reference psychometric profiles of products within the market, each reference psychometric profile among the plurality of reference psychometric profiles being correlated with a different product within the market;   by one or more processors of the machine, identifying a corresponding product based on a comparison of the first psychometric profile data associated with the user to the reference psychometric profile correlated with the corresponding product; and   by one or more processors of the machine, causing a user interface of a computer to present the user with a reference to the corresponding product in response to the identifying of the corresponding product based on the comparison of the first psychometric profile data with the reference psychometric profile.   
     
     
         2 . The method of  claim 1  further comprising:
 by one or more processors of the machine, generating the first psychometric profile data of the user, the generating of the first psychometric profile data including generating the market model of the user based on a metaphor statement presented to the user and an indicated level of agreement by the user with the metaphor statement, the metaphor statement being a figurative description of the market. 
 
     
     
         3 . The method of  claim 2  further comprising:
 by one or more processors of the machine, causing the user interface of the computer to present the metaphor statement to the user; and 
 by one or more processors of the machine, receiving the indicated level of agreement by the user with the presented metaphor statement that figuratively describes the market. 
 
     
     
         4 . The method of  claim 1  further comprising:
 by one or more processors of the machine, generating the first psychometric profile data of the user, the generating of the first psychometric profile data including generating the risk model of the user based on the result of the implicit association test completed by the user, the result indicating a degree of risk unconsciously tolerable by the user. 
 
     
     
         5 . The method of  claim 4  further comprising:
 by one or more processors of the machine, administering the implicit association test by causing the user interface of the computer to present the implicit association test to the user and receive responses of the user to the implicit association test; and 
 by one or more processors of the machine, calculating the result from the received responses of the user to the administered implicit association test. 
 
     
     
         6 . The method of  claim 4 , wherein:
 the result of the implicit association test is an unprimed result of an unprimed implicit association test administered to the user;   the generating of the risk model is based on a primed result of a primed implicit association test administered to the user after the unprimed implicit association test; and the method further comprises   by one or more processors of the machine, administering the unprimed implicit association test on the computer to the user and subsequently administering the primed implicit association test on the computer to the user, the unprimed and primed implicit association tests being administered by causing the user interface of the computer to present the unprimed and primed implicit association tests to the user.   
     
     
         7 . The method of  claim 6  further comprising:
 by one or more processors of the machine, causing the user interface of the computer to present priming content to the user between the unprimed and primed implicit association tests; and wherein 
 the calculating of the result is based on unprimed responses of the user to the unprimed implicit association test and based on primed responses of the user to the primed implicit association test. 
 
     
     
         8 . The method of  claim 7 , wherein:
 the result indicates a degree of financial risk unconsciously tolerable by the user; and   the priming content includes a description of a financial disaster scenario.   
     
     
         9 . The method of  claim 1  further comprising:
 by one or more processors of the machine, generating the reference psychometric profile correlated with the product, the generating of the reference psychometric profile including generating a further machine-generated market model of a manager that manages the product, the further machine-generated market model being generated from further input data indicative of extents to which the manager agrees with a further set of presented statements that characterize the market, the further machine-generated market model being generated based on a metaphor statement presented to the manager and an indicated level of agreement by the manager with the metaphor statement, the metaphor statement being a figurative description of the market. 
 
     
     
         10 . The method of  claim 1  further comprising:
 by one or more processors of the machine, generating the reference psychometric profile correlated with the product, the generating of the reference psychometric profile including generating a further machine-generated risk model of a manager that manages the product, the further machine-generated risk model being generated based on a result of a further implicit association test completed by the manager, the result indicating a degree of risk unconsciously tolerable by the manager. 
 
     
     
         11 . The method of  claim 10  further comprising:
 by one or more processors of the machine, administering the implicit association test by causing a further user interface of a further computer to present the implicit association test to the manager and receive responses of the manager to the implicit association test; and 
 by one or more processors of the machine, calculating the result from the received responses of the manager to the administered implicit association test. 
 
     
     
         12 . The method of  claim 11 , wherein:
 the result of the implicit association test is an unprimed result of an unprimed implicit association test administered to the manager;   the generating of the risk model is based on a primed result of a primed implicit association test administered to the manager after the unprimed implicit association test; and the method further comprises   by one or more processors of the machine, administering the unprimed implicit association test on the further computer to the manager and subsequently administering the primed implicit association test on the further computer to the manager, the unprimed and primed implicit association tests being administered by causing the further user interface of the further computer to present the unprimed and primed implicit association tests to the manager.   
     
     
         13 . The method of  claim 1  further comprising:
 by one or more processors of the machine, causing the user interface of the computer to present a parameter selection bar with a minimum slider and a maximum slider, the minimum slider being operable to specify a minimum value of a range for a parameter of the product, the maximum slider being operable to specify a maximum value of the range for the parameter of the product, the parameter selection bar being presented with a corresponding importance bar with an importance slider operable to specify an importance of the range; and 
 by one or more processors of the machine, detecting specification of range and the importance of the range; and wherein 
 the identifying of the product includes determining that the parameter of the product falls outside of the range by a margin but that the product is nonetheless eligible for identification based on the margin and the importance of the range. 
 
     
     
         14 . The method of  claim 1  further comprising:
 by one or more processors of the machine, generating the reference psychometric profile correlated with the product based on performance statistics indicative of changes in value of the product. 
 
     
     
         15 . The method of  claim 1 , wherein:
 the user is at least one of a first person, a first team, or a first organization; and   the reference psychometric profile describes a manager that is at least one of a second person that manages the product, a second team that manages the product, or a second organization that manages the product.   
     
     
         16 . The method of  claim 1 , wherein:
 the product is an investment fund;   the user is a potential investor in the investment fund; and   the reference psychometric profile describes a manager that manages the investment fund.   
     
     
         17 . A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
 by one or more processors of the machine, accessing first psychometric profile data stored in memory, the first psychometric profile data being associated with a user, the first psychometric profile data including a machine-generated market model of the user and a machine-generated risk model of the user, the machine-generated market model being generated from user input data indicative of extents to which the user agrees with a set of presented statements that characterize a market for products, the machine-generated risk model being generated from user input data indicative of a result of an implicit association test completed by the user;   by one or more processors of the machine, accessing reference psychometric profile data that includes a plurality of reference psychometric profiles of products within the market, each reference psychometric profile among the plurality of reference psychometric profiles being correlated with a different product within the market;   by one or more processors of the machine, identifying a corresponding product based on a comparison of the first psychometric profile data associated with the user to the reference psychometric profile correlated with the corresponding product; and   by one or more processors of the machine, causing a user interface of a computer to present the user with a reference to the corresponding product in response to the identifying of the corresponding product based on the comparison of the first psychometric profile data with the reference psychometric profile.   
     
     
         18 . The non-transitory machine-readable storage medium of  claim 17 , wherein the operations further comprise:
 by one or more processors of the machine, generating the first psychometric profile data of the user, the generating of the first psychometric profile data including generating the market model of the user based on a metaphor statement presented to the user and an indicated level of agreement by the user with the metaphor statement, the metaphor statement being a figurative description of the market.   
     
     
         19 . A system comprising:
 an access module comprising one or more processors of a machine and configured to:
 access first psychometric profile data stored in memory, the first psychometric profile data being associated with a user, the first psychometric profile data including a machine-generated market model of the user and a machine-generated risk model of the user, the machine-generated market model being generated from user input data indicative of extents to which the user agrees with a set of presented statements that characterize a market for products, the machine-generated risk model being generated from user input data indicative of a result of an implicit association test completed by the user; and 
 access reference psychometric profile data that includes a plurality of reference psychometric profiles of products within the market, each reference psychometric profile among the plurality of reference psychometric profiles being correlated with a different product within the market; 
   a recommender module comprising one or more processors of the machine and configured to identify a corresponding product based on a comparison of the first psychometric profile data associated with the user to the reference psychometric profile correlated with the corresponding product; and   a user interface module comprising one or more processors of the machine and configured to cause a user interface of a computer to present the user with a reference to the corresponding product in response to the identifying of the corresponding product based on the comparison of the first psychometric profile data with the reference psychometric profile.   
     
     
         20 . The system of  claim 19  further comprising:
 a user analysis module comprising one or more processors of the machine and configured to generate the first psychometric profile data of the user, the generating of the first psychometric profile data including generating the risk model of the user based on the result of the implicit association test completed by the user, the result indicating a degree of risk unconsciously tolerable by the user.