Efficient Data Retrieval System for Text Search Queries

The text filtering server monitors a stream of incoming documents for a set of users, who register their interests in the form of continuous text search queries. The objective of the server is to constantly maintain for each query a ranked result list providing the recent documents with the highest similarity to the query. I propose the solution for processing continuous text queries efficiently. The solution indexes the streamed documents in main memory with a structure based on the principles of the inverted file, and processes document arrival and expiration events with an incremental threshold-based method. Based on incremental threshold algorithm, the order of the links will be displayed.