Expert Search Thread Invitation Engine

Abstract

Systems and methods are provided for providing search results. Social media posts are analyzed to identify a candidate for authoring an expert search thread, where one or more search terms are extracted from one or more social media posts of the candidate. The candidate is contacted to solicit an expert search thread, where the expert search thread solicited includes an identification of a plurality of links entered via a user interface by the expert that the expert identifies as being helpful to learning about a topic associated with the one or more search terms. The expert search thread is included in a set of search results prompted by one or more of the search terms.

1 . A computer-implemented method for providing search results, comprising:
 analyzing social media posts to identify a candidate for authoring an expert search thread, wherein one or more search terms are extracted from one or more social media posts of the candidate;   contacting the candidate to solicit an expert search thread, wherein the expert search thread solicited includes an identification of a plurality of links entered via a user interface by the expert that the expert identifies as being helpful to learning about a topic associated with the search term;   wherein the expert search thread is included in a set of search results prompted by one or more of the search terms.   
     
     
         2 . The method of  claim 1 , further comprising:
 determining a quality metric associated with the one or more social media posts of the candidate;   wherein the candidate is identified based on the quality metric.   
     
     
         3 . The method of  claim 2 , wherein the quality metric is based on a topic associated with the one or more social media posts of the candidate. 
     
     
         4 . The method of  claim 3 , wherein the one or more social media posts are assigned a high-quality quality metric when the one or more social media posts are associated with a trending topic. 
     
     
         5 . The method of  claim 3 , wherein the one or more social media posts are assigned a high-quality quality metric when the one or more social media posts are associated with a trending topic and the one or more social media posts were made well before the trending topic began trending. 
     
     
         6 . The method of  claim 3 , further comprising:
 identifying publications of the candidate that are associated with the topic, wherein the quality metric is increased when the candidate has published one or more publications associated with the topic.   
     
     
         7 . The method of  claim 6 , wherein the publications are identified by reviewing one or more web pages associated with the candidate. 
     
     
         8 . The method of  claim 7 , wherein the one or more web pages include a social media profile page. 
     
     
         9 . The method of  claim 2 , wherein the quality metric is based on a comparison of words used in the one or more social media posts and words used within a past particular period of time in articles across a plurality of circulated publications. 
     
     
         10 . The method of  claim 9 , wherein the circulated publications include newspaper articles, magazines, online articles, and blogs, and wherein the past particular period of time is one week. 
     
     
         11 . The method of  claim 9 , wherein a set of words are filtered from the comparison. 
     
     
         12 . The method of  claim 11 , wherein the filter removes articles and conjunctions, wherein the filter further removes or limits the search to a search key word, wherein the search key word filter supports wildcard and stem operators. 
     
     
         13 . The method of  claim 2 , wherein the quality metric is based on a length of the one or more social media posts of the candidate. 
     
     
         14 . The method of  claim 2 , wherein the quality metric is based on a number of factual statements identified in the one or more social media posts of the candidate. 
     
     
         15 . The method of  claim 14 , wherein a statement is identified as a factual statement based on a part-of-speech pattern associated with the statement. 
     
     
         16 . The method of  claim 2 , wherein the quality metric is based on a number of interactions of others with the one or more social media posts of the candidate. 
     
     
         17 . The method of  claim 16 , wherein the interactions include likes, shares, and replies. 
     
     
         18 . The method of  claim 1 , wherein the candidate is contacted via a private message using a social media platform associated with the one or more social media posts or the candidate is contacted using a reply to one of the one or more social media posts. 
     
     
         19 . The method of  claim 1 , wherein the expert search thread further includes an order associated with the plurality of links that the expert identifies as being optimal for viewing the plurality of links to learn about the topic. 
     
     
         20 . The method of  claim 1 , wherein the link to the expert search thread is positioned in the set of results according to a credibility score determined based on ratings of the expert search thread by a plurality of users.