System, process and software arrangement for providing multidimensional recommendations/suggestions
First Claim
1. A method, comprising:
- receiving, at one or more computer servers associated with a system for providing multidimensional information, one or more requests from an external server for one or more recommendations, wherein the multidimensional information data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein;
at least one first dimension corresponds to a user profile;
at least one second dimension corresponds to products;
at least one third dimension corresponds to time; and
at least one fourth dimension corresponds to places;
retrieving, by one or more processors associated with the one or more computer servers, information from at least each of the first, second, third, and fourth dimensions of the multidimensional space;
generating, by the one or more processors, at least one recommendation based at least on the information retrieved from the first, second, third, and fourth dimensions; and
sending, by the one or more processors, the at least one recommendation to the external server in response to the one or more requests.
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Abstract
A process, system and computer software are provided to facilitate at least one recommendation to one or more users and/or one or more applications using multidimensional data. In particular, a multidimensional space is defined, wherein each dimension is capable of providing variable information. At least one dimension corresponds to user profiles. The multidimensional space is filled with multidimensional data corresponding to dimensions of the multidimensional space. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query. This can be performed by generating the recommendation-specific query to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube.
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Citations
20 Claims
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1. A method, comprising:
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receiving, at one or more computer servers associated with a system for providing multidimensional information, one or more requests from an external server for one or more recommendations, wherein the multidimensional information data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein; at least one first dimension corresponds to a user profile; at least one second dimension corresponds to products; at least one third dimension corresponds to time; and at least one fourth dimension corresponds to places; retrieving, by one or more processors associated with the one or more computer servers, information from at least each of the first, second, third, and fourth dimensions of the multidimensional space; generating, by the one or more processors, at least one recommendation based at least on the information retrieved from the first, second, third, and fourth dimensions; and sending, by the one or more processors, the at least one recommendation to the external server in response to the one or more requests. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16, 17, 18, 19, 20)
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12. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
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receive, at one or more computer servers associated with a system for providing multidimensional information, one or more requests from an external server for one or more recommendations, wherein the multidimensional information data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein; at least one first dimension corresponds to a user profile; at least one second dimension corresponds to products; at least one third dimension corresponds to time; and at least one fourth dimension corresponds to places; retrieve, by one or more processors associated with the one or more computer servers, information from at least each of the first, second, third, and fourth dimensions of the multidimensional space; generate, by the one or more processors, at least one recommendation based at least on the information retrieved from the first, second, third, and fourth dimensions; and send, by the one or more processors, the at least one recommendation to the external server in response to the one or more requests.
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13. A system comprising:
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one or more processors associated with one or more computer servers for a system for providing multidimensional information; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to; receive, at one or more computer servers associated with a system for providing multidimensional information, one or more requests from an external server for one or more recommendations, wherein the multidimensional information data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein; at least one first dimension corresponds to a user profile; at least one second dimension corresponds to products; at least one third dimension corresponds to time; and at least one fourth dimension corresponds to places; retrieve, by one or more processors associated with the one or more computer servers, information from at least each of the first, second, third, and fourth dimensions of the multidimensional space; generate, by the one or more processors, at least one recommendation based at least on the information retrieved from the first, second, third, and fourth dimensions; and send, by the one or more processors, the at least one recommendation to the external server in response to the one or more requests. - View Dependent Claims (14, 15)
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Specification