US2012265789A1PendingUtilityA1

Architectures, systems, apparatus, methods, and computer-readable medium for providing recommendations to users and applications using multidimensional data

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Individually held — no corporate assignee on recordPriority: Nov 14, 1997Filed: Dec 27, 2011Published: Oct 18, 2012
Est. expiryNov 14, 2017(expired)· nominal 20-yr term from priority
Inventors:Alexander TuzhilinGediminas Adomavicius
Y10S706/925Y10S706/934Y10S707/99936Y10S707/99933Y10S707/99932G06Q 30/0267Y10S707/99945Y10S707/99931G06Q 30/0631G06Q 30/0224G06Q 30/0201G06Q 30/02G06Q 30/018G06Q 30/0255G06Q 30/0269
45
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Claims

Abstract

Exemplary non-transitory computer-readable medium, method and system for providing at least one recommendation to users and applications using multidimensional data. The multidimensional data can define a multidimensional space defined by a Cartesian product of the dimensions. The multidimensional space can have at least three dimensions, and each of the dimensions can be capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions. The exemplary non-transitory computer-readable medium, method and system can retrieve information from data associated with the multidimensional space. Further, the exemplary non-transitory computer-readable medium, method and system can generate the at least one recommendation based on the retrieved information. Further, at least one of the dimensions can include profiles.

Claims

exact text as granted — not AI-modified
1 - 76 . (canceled) 
     
     
         76 . A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising the steps of:
 a) obtaining the multidimensional data having at least three dimensions, each of the dimensions (i) facilitating an inclusion of variable information, and (ii) is characterized by a type that is different from a type of another one of the dimensions;   b) retrieving information from the multidimensional data have the dimensions; and   c) generating the at least one recommendation based on the retrieved information.   
     
     
         77 . The process according to  claim 76 , wherein the at least one recommendation includes multidimensional suggestions. 
     
     
         78 . The process according to  claim 77 , wherein the multidimensional suggestions are based on multiple factors associated with the at least one of the users and the applications. 
     
     
         79 . The process according to  claim 76 , wherein at least one of the dimensions includes a hierarchy. 
     
     
         80 . The process according to  claim 76 , wherein the at least one recommendation is provided to the at least one of the users and applications. 
     
     
         81 . The process according to  claim 76 , wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information. 
     
     
         82 . The process according to  claim 76 , wherein the information is factual information. 
     
     
         83 . The process according to  claim 76 , wherein the multidimensional data define a multidimensional space. 
     
     
         84 . The process according to  claim 83 , wherein a number of dimensions in the multidimensional space is predetermined. 
     
     
         85 . A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising the steps of:
 a) obtaining the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, each of the dimensions facilitating an access of variable information;   b) retrieving information from the multidimensional data of the multidimensional space having the dimensions; and   c) generating the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.   
     
     
         86 . The process according to  claim 85 , wherein the profiles have static characteristics. 
     
     
         87 . The process according to  claim 86 , wherein the static profiles include factual information consisting of at least one of fields, variables and records relating to the respective dimension. 
     
     
         88 . The process according to  claim 87 , further comprising the step of:
 g) recording each of the static profiles in a data storage arrangement as one record per each dimension.   
     
     
         89 . The process according to  claim 85 , wherein the profiles have dynamic characteristics. 
     
     
         90 . The process according to  claim 89 , wherein the dynamic profiles include at least one set of rules. 
     
     
         91 . The process according to  claim 89 , wherein the dynamic profiles include at least one set of sequences. 
     
     
         92 . The process according to  claim 85 , wherein the at least one recommendation is provided to the at least one of the users and applications. 
     
     
         93 . The process according to  claim 92 , wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information. 
     
     
         94 . The process according to  claim 85 , wherein the information is factual information. 
     
     
         95 . The process according to  claim 85 , wherein the multidimensional data define a multidimensional space. 
     
     
         96 . The process according to  claim 95 , wherein a number of dimensions in the multidimensional space is predetermined. 
     
     
         97 . A system which provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:
 a processing subsystem which, when executed on the processing device, configures a processing device to perform the following procedures:
 a) obtain the multidimensional data which define a multidimensional space having at least three dimensions, each of the dimensions (i) facilitating an inclusion of variable information, and (ii) is characterized by a type that is different from a type of another one of the dimensions; 
 b) retrieve information from the multidimensional data have the dimensions; and 
 c) generate the at least one recommendation based on the retrieved information. 
   
     
     
         98 . The system according to  claim 97 , wherein the at least one recommendation includes multidimensional suggestions. 
     
     
         99 . The system according to  claim 97 , wherein the multidimensional suggestions are based on multiple factors associated with the at least one of the users and the applications. 
     
     
         100 . The system according to  claim 97 , wherein at least one of the dimensions includes a hierarchy. 
     
     
         101 . The system according to  claim 97 , wherein the information is factual information. 
     
     
         102 . The system according to  claim 97 , wherein the multidimensional data define a multidimensional space. 
     
     
         103 . The system according to  claim 102 , wherein a number of the dimensions in the multidimensional space is predetermined. 
     
     
         104 . A system which, when executed on a processing device, provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:
 a processing subsystem which, when executed on the processing device, configures the processing device to perform the following:
 a) obtain the multidimensional data having at least three dimensions, each of the dimensions facilitating an access of variable information; 
 b) retrieve information from the multidimensional data having the dimensions; and 
 c) generate the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles. 
   
     
     
         105 . The system according to  claim 104 , wherein the profiles have static characteristics. 
     
     
         106 . The system according to  claim 105 , wherein the static profiles include factual information consisting of at least one of fields, variables and records relating to the respective dimension. 
     
     
         107 . The system according to  claim 106 , wherein the processing subsystem which, when executed on the processing device, configures the processing device to further perform the following:
 g) record each of the static profiles in a data storage arrangement as one record per each dimension.   
     
     
         108 . The system according to  claim 106 , wherein the profiles have dynamic characteristics. 
     
     
         109 . The system according to  claim 108 , wherein the dynamic profiles include at least one set of rules. 
     
     
         110 . The system according to  claim 108 , wherein the dynamic profiles include at least one set of sequences. 
     
     
         111 . The system according to  claim 104 , wherein the at least one recommendation is provided to the at least one of users and applications. 
     
     
         112 . The system according to  claim 104 , wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information. 
     
     
         113 . The system according to  claim 104 , wherein the at least one recommendation is generated by issuing a recommendation request-type query. 
     
     
         114 . The system according to  claim 113 , wherein the recommendation request-type query is translatable into a Structured Query Language query. 
     
     
         115 . The system according to  claim 104 , wherein the multidimensional data define a multidimensional space. 
     
     
         116 . Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:
 a) a first module which, when executed by the processing device, obtains the multidimensional data having at least three dimensions, each of the dimensions (i) facilitating an inclusion of variable information, and (ii) is characterized by a type that is different from a type of another one of the dimensions;   b) a second module which, when executed by the processing device, retrieves information from the multidimensional data have the dimensions; and   c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information.   
     
     
         117 . The software according to  claim 116 , wherein the multidimensional data define a multidimensional space. 
     
     
         118 . Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:
 a) a first module which, when executed by the processing device, obtains the multidimensional data which having at least three dimensions, each of the dimensions facilitating an access of variable information;   b) a second module which, when executed by the processing device, retrieves information from the multidimensional data having the dimensions   c) a third module which, when executed by the processing arrangement, generate the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.   
     
     
         119 . The software according to  claim 118 , wherein the multidimensional data define a multidimensional space.

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