Systems and methods for an expert-informed information acquisition engine utilizing an adaptive torrent-based heterogeneous network solution

Abstract

A system for operating an expert-informed information acquisition engine utilizing an adaptive torrent-based heterogeneous network solution includes a memory storing computer-executable instructions; at least one processor configured to access the at least one memory and execute the computer-executable instructions to: receive user-defined tags associated with a first user; access interaction data associated with one or more second users and the first user; receive user-defined tags associated with one or more second users; identify a lexicon based on the user-defined tags; receive a query from the first user, wherein the query; rank one or more documents based on the lexicon; and display one or more documents based on the lexicon, with already-seen results removed.

What is claimed is: 
     
         1 . A system for operating an expert-informed information acquisition engine comprising:
 a processor configured to access a memory and execute computer-executable instructions stored on the memory to:
 receive a query from a first user including a parameter from the first user; 
 receive tags associated with the first user; 
 identify one or more second users based on one or more of social networking connections between the first user and the one or more second users, similar browsing patterns between the first user and the one or more second users, similar tagging patterns between the first user and the one or more second users, and similar negative identifiers between the first user and the one or more second users; 
 receive tags associated with the one or more second users; 
 receive one or more documents and tags associated with the one or more documents, the one or more documents based on the parameter included in the query; 
 identify a lexicon based on the tags associated with the one or more second users and the tags associated with the first user, and further based on the tags associated with the one or more documents; 
 determine an order for the one or more documents based on the lexicon; and 
 display the one or more documents in the order based on the lexicon. 
   
     
     
         2 . The system of  claim 1 , wherein the tags associated with the one or more second users and the tags associated with the first user comprise tags associating one or more keywords to a document of the one or more documents. 
     
     
         3 . The system of  claim 2 , wherein identifying a lexicon further comprises providing a negative filter removing one or more keywords and tags. 
     
     
         4 . The system of  claim 1 , wherein the one or more documents are characterized by an absence of documents previously presented as results of a query. 
     
     
         5 . The system of  claim 1 , wherein identifying the lexicon further comprises weighing the tags associated with the one or more second users based at least in part on a frequency of interaction between the one or more second users and the first user. 
     
     
         6 . The system of  claim 1 , further comprising weighing the tags associated with the one or more second users based at least in part on a trust criteria from the first user. 
     
     
         7 . A method of operating an expert-informed information acquisition engine comprising:
 receiving a query from a first user including a parameter;   receiving tags associated with the first user;   identifying one or more second users based on one or more of social networking connections between the first user and the one or more second users, similar browsing patterns between the first user and the one or more second users, similar tagging patterns between the first user and the one or more second users, and similar negative identifiers between the first user and the one or more second users;   receiving tags associated with the one or more second users;   receiving one or more documents and tags associated with the one or more documents, the one or more documents based on the parameter included in the query;   identifying a lexicon based on the tags associated with the one or more second users and the tags associated with the first user, and further based on the tags associated with the one or more documents;   determining an order for the one or more documents based on the lexicon; and   displaying the one or more documents in the order based on the lexicon.   
     
     
         8 . The method of  claim 7 , wherein the tags associated with the one or more second users and the tags associated with the first user comprise tags associating one or more keywords to a document of the one or more documents. 
     
     
         9 . The method of  claim 8 , wherein identifying a lexicon further comprises providing a negative filter removing one or more keywords and tags. 
     
     
         10 . The method of  claim 7 , wherein the one or more documents are characterized by an absence of documents previously presented as results of a query. 
     
     
         11 . The method of  claim 7 , wherein identifying the lexicon further comprises weighing the tags associated with the one or more second users based at least in part on a frequency of interaction between the one or more second users and the first user. 
     
     
         12 . The method of  claim 7 , further comprising weighing the tags associated with the one or more second users based at least in part on a trust criteria from the first user. 
     
     
         13 . A computer-readable medium storing computer-executable instructions that, when executed by a processor, configure the processor to:
 receive one or more first documents and tags associated with the one or more first documents;   identify one or more users based on one or more of social networking connections between a target user and the one or more users, similar browsing patterns between the target user and the one or more users, similar tagging patterns between the target user and the one or more users, and similar negative identifiers between the target user and the one or more users;   access interactions between the one or more users and one or more documents, the interactions including one or more of social networking connections, similar browsing patterns, similar tagging patterns, and similar negative identifiers between the one or more users;   determine lexicon data based at least in part on the interactions and the one or more of social networking connections, and further based on the tags associated with the one or more first documents; and   return results to the target user.   
     
     
         14 . The computer-readable medium of  claim 13 , further comprising instructions that, when executed by a processor, configure the processor to:
 filtering the lexicon data to select lexicon data having a relationship counter greater than a pre-determined threshold; and   providing user one or more documents to a user device associated with the target user, the one or more documents based at least in part on the filtered lexicon data responsive to a search query.   
     
     
         15 . The computer-readable medium of  claim 14 , further comprising instructions that, when executed by a processor, configure the processor to receive a selection from a user device, wherein the selection comprises one or more documents. 
     
     
         16 . The computer-readable medium of  claim 15 , further comprising instructions that, when executed by a processor, configure the processor to update filtering criteria for the lexicon based at least in part on the selection. 
     
     
         17 . The computer-readable medium of  claim 13 , wherein the results are characterized by an absence of results previously included as results of a query. 
     
     
         18 . The computer-readable medium of  claim 13 , wherein the interactions comprising a message entered by one of the one or more users. 
     
     
         19 . The computer-readable medium of  claim 13 , further comprising instructions that, when executed by a processor, configure the processor to filter the lexicon data by one or more attributes specified by the target user.