Personalized car recommendations based on customer web traffic

Abstract

One or more embodiments are generally directed to techniques to provide specific vehicle recommendations. Various techniques, methods, systems, and apparatuses include utilizing user web-traffic and/or one or more tags generated by application of a machine learning model to a data source, where the data source may include language with respect to one or more automobiles or vehicles, to provide a recommendation for a particular automobile.

What is claimed is: 
     
         1 . A method, comprising:
 accessing, by a web plugin of a web browser executing on a processor, a subset of a plurality of automobile makes and models based on one or more automobile terms and a plurality of automobile tags, wherein the automobile terms are associated with a plurality of web pages and a plurality of search queries, wherein the plurality of automobile tags are based on a term frequency model and a plurality of terms in a corpus of reviews of a plurality of automobiles; and   displaying, by the web plugin, a suggestion comprising at least one of: (i) a particular automobile of the subset of the plurality of automobile makes and models, or (ii) a subset of the plurality of tags associated with the subset of automobile makes and models.   
     
     
         2 . The method of  claim 1 , wherein the web plugin compares the one or more automobile terms to the plurality of automobile tags to identify the subset of the plurality of automobile makes and models. 
     
     
         3 . The method of  claim 1 , further comprising:
 recording, by the web plugin, data comprising: one or more web pages accessed by the web browser, and one or more search queries submitted to a search engine via the web browser, wherein the data is associated with the plurality of automobile makes and models.   
     
     
         4 . The method of  claim 3 , further comprising:
 aggregating, by the web plugin, the recorded data.   
     
     
         5 . The method of  claim 1 , wherein the web plugin displays the suggestion based on a determination that the web browser has accessed a web page associated with vehicles. 
     
     
         6 . The method of  claim 1 , wherein the suggestion displayed by the web plugin comprises a selectable element, the method further comprising:
 responsive to receiving selection of the selectable element, accessing, by the web browser, a web page associated with the selectable element.   
     
     
         7 . The method of  claim 1 , wherein each one of the plurality of automobile makes and models is associated with a respective probability value of a plurality of probability values in a probability distribution. 
     
     
         8 . A non-transitory computer-readable storage medium including instructions that when executed by a processor, cause the processor to:
 access, by a web plugin of a web browser, a subset of a plurality of automobile makes and models based on one or more automobile terms and a plurality of automobile tags, wherein the automobile terms are associated with a plurality of web pages and a plurality of search queries, wherein the plurality of automobile tags are based on a term frequency model and a plurality of terms in a corpus of reviews of a plurality of automobiles; and   display, by the web plugin, a suggestion comprising at least one of: (i) a particular automobile of the subset of the plurality of automobile makes and models, or (ii) a subset of the plurality of tags associated with the subset of automobile makes and models.   
     
     
         9 . The computer-readable storage medium of  claim 8 , wherein the web plugin compares the one or more automobile terms to the plurality of automobile tags to identify the subset of the plurality of automobile makes and models. 
     
     
         10 . The computer-readable storage medium of  claim 8 , wherein the instructions further cause the processor to:
 record, by the web plugin, data comprising: one or more web pages accessed by the web browser, and one or more search queries submitted to a search engine via the web browser, wherein the data is associated with the plurality of automobile makes and models.   
     
     
         11 . The computer-readable storage medium of  claim 10 , wherein the instructions further cause the processor to:
 aggregate, by the web plugin, the recorded data.   
     
     
         12 . The computer-readable storage medium of  claim 8 , wherein the web plugin displays the suggestion based on a determination that the web browser has accessed a web page associated with vehicles. 
     
     
         13 . The computer-readable storage medium of  claim 8 , wherein the suggestion displayed by the web plugin comprises a selectable element, wherein the instructions further cause the processor to:
 responsive to receiving selection of the selectable element, access, by the web browser, a web page associated with the selectable element.   
     
     
         14 . The computer-readable storage medium of  claim 8 , wherein each one of the plurality of automobile makes and models is associated with a respective probability value of a plurality of probability values in a probability distribution. 
     
     
         15 . A computing apparatus comprising:
 a processor; and   a memory storing instructions that, when executed by the processor, cause the processor to:
 access, by a web plugin of a web browser, a subset of a plurality of automobile makes and models based on one or more automobile terms and a plurality of automobile tags, wherein the automobile terms are associated with a plurality of web pages and a plurality of search queries, wherein the plurality of automobile tags are based on a term frequency model and a plurality of terms in a corpus of reviews of a plurality of automobiles; and 
 display, by the web plugin, a suggestion comprising at least one of: (i) a particular automobile of the subset of the plurality of automobile makes and models, or (ii) a subset of the plurality of tags associated with the subset of automobile makes and models. 
   
     
     
         16 . The computing apparatus of  claim 15 , wherein the web plugin compares the one or more automobile terms to the plurality of automobile tags to identify the subset of the plurality of automobile makes and models. 
     
     
         17 . The computing apparatus of  claim 15 , wherein the instructions further cause the processor to:
 record, by the web plugin, data comprising: one or more web pages accessed by the web browser, and one or more search queries submitted to a search engine via the web browser, wherein the data is associated with the plurality of automobile makes and models.   
     
     
         18 . The computing apparatus of  claim 17 , wherein the instructions further cause the processor to:
 aggregate, by the web plugin, the recorded data.   
     
     
         19 . The computing apparatus of  claim 15 , wherein the web plugin displays the suggestion based on a determination that the web browser has accessed a web page associated with vehicles. 
     
     
         20 . The computing apparatus of  claim 15 , wherein the suggestion displayed by the web plugin comprises a selectable element, wherein the instructions further cause the processor to:
 responsive to receiving selection of the selectable element, access, by the web browser, a web page associated with the selectable element.