{"repository":{"description":"This is basically a feedback search engine which uses Bing Search API and returns 10 results after taking a query from the user. The user then marks relevant documents out of the returned documents which are then used to filter a word most relevant to those documents based on Rochio algorithm/I-Dec-Hi. This search engine loops multiple time until a precision marked by the user is reached. ","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":0,"owner":"kuberkaul","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"created_at":"2013-02-12T22:12:18-08:00","pushed_at":"2013-02-12T22:12:18-08:00","master_branch":"master"},"actor_attributes":{"name":"Kuber Kaul","company":"Columbia University","blog":"http://www.linkedin.com/pub/kuber-kaul/3b/814/447","location":"Manhattan, New York","email":"280e4ed364aff3c395f531ec4e4c72064224362f@gmail.com","type":"User"},"url":"https://github.com/kuberkaul/Bing-Feedback-Rochio"}