Methods, systems, and media for providing information based on grouping information

Abstract

Methods, systems, and media for recommending information based on grouping information are provided. In some embodiments, the method comprises: identifying a first item of interest to a user of a user device; receiving data corresponding to the first item; classifying, using a hardware processor, the data to obtain one or more attributes of the first item; identifying a second item similar to the first item based on similarity of the one or more attributes of the first item to one or more attributes of the second item; identifying a plurality of bundles of items that each includes the second item; ranking the plurality of bundles of items; and selecting a bundle of items from the plurality of bundles of items for recommendation to the user of the user device.

What is claimed is: 
     
         1 . A method for recommending information based on grouping information, comprising:
 identifying a first item of interest to a user of a user device;   receiving data corresponding to the first item;   classifying, using a hardware processor, the data to obtain one or more attributes of the first item;   identifying a second item similar to the first item based on similarity of the one or more attributes of the first item to one or more attributes of the second item;   identifying a plurality of bundles of items that each includes the second item;   ranking the plurality of bundles of items based on a set of criteria;   removing at least one bundle of the plurality of bundles of items that do not satisfy the criteria; and   selecting a bundle of items from the plurality of bundles of items for recommendation to the user of the user device.   
     
     
         2 . The method of  claim 1 , wherein receiving the data comprises receiving data from a website that includes information about the first item. 
     
     
         3 . The method of  claim 1 , wherein identifying the second item similar to the first item comprises calculating a distance between the one or more attributes of the first item and the one or more attributes of the second item. 
     
     
         4 . The method of  claim 1 , wherein the set of criteria are received from a second user device other than the user device. 
     
     
         5 . The method of  claim 1 , further comprising:
 selecting a third item included in the selected bundle of items; and   causing the third item to be recommended to the user of the user device.   
     
     
         6 . The method of  claim 1 , further comprising selecting a model to classify the data based on a category associated with the data. 
     
     
         7 . A system for recommending information based on grouping information, the system comprising:
 a hardware processor that is programmed to:
 identify a first item of interest to a user of a user device; 
 receive data corresponding to the first item; 
 classify the data to obtain one or more attributes of the first item; 
 identify a second item similar to the first item based on similarity of the one or more attributes of the first item to one or more attributes of the second item; 
 identify a plurality of bundles of items that each includes the second item; 
 rank the plurality of bundles of items based on a set of criteria; 
 remove at least one bundle of the plurality of bundles of items that do not satisfy the criteria; and 
 select a bundle of items from the plurality of bundles of items for recommendation to the user of the user device. 
   
     
     
         8 . The system of  claim 7 , wherein receiving the data comprises receiving data from a website that includes information about the first item. 
     
     
         9 . The system of  claim 7 , wherein identifying the second item similar to the first item comprises calculating a distance between the one or more attributes of the first item and the one or more attributes of the second item. 
     
     
         10 . The system of  claim 7 , wherein the set of criteria are received from a second user device other than the user device. 
     
     
         11 . The system of  claim 7 , wherein the hardware processor is further programmed to:
 select a third item included in the selected bundle of items; and   cause the third item to be recommended to the user of the user device.   
     
     
         12 . The system of  claim 7 , wherein the hardware processor is further programmed to select a model to classify the data based on a category associated with the data. 
     
     
         13 . A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for recommending information based on grouping information, the method comprising:
 identifying a first item of interest to a user of a user device;   receiving data corresponding to the first item;   classifying the data to obtain one or more attributes of the first item;   identifying a second item similar to the first item based on similarity of the one or more attributes of the first item to one or more attributes of the second item;   identifying a plurality of bundles of items that each includes the second item;   ranking the plurality of bundles of items based on a set of criteria;   removing at least one bundle of the plurality of bundles of items that do not satisfy the criteria; and   selecting a bundle of items from the plurality of bundles of items for recommendation to the user of the user device.   
     
     
         14 . The non-transitory computer-readable medium of  claim 13 , wherein receiving the data comprises receiving data from a website that includes information about the first item. 
     
     
         15 . The non-transitory computer-readable medium of  claim 13 , wherein identifying the second item similar to the first item comprises calculating a distance between the one or more attributes of the first item and the one or more attributes of the second item. 
     
     
         16 . The non-transitory computer-readable medium of  claim 13 , wherein the set of criteria are received from a second user device other than the user device. 
     
     
         17 . The non-transitory computer-readable medium of  claim 13 , wherein the method further comprises:
 selecting a third item included in the selected bundle of items; and   causing the third item to be recommended to the user of the user device.   
     
     
         18 . The non-transitory computer-readable medium of  claim 13 , wherein the method further comprises selecting a model to classify the data based on a category associated with the data.