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
The task of an information retrieval system is to identify documents that will satisfy a user’s info...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
In Internet, there are huge amount of information which are mainly text documents such as Blog and T...
International audienceIn this work we are interested in the scalable processing of content filtering...
Full-text information retrieval systems have tradi-tionally been designed for archival environments....
© 2017 ACM. Many real applications in real-time news stream advertising call for efficient processin...
In the information filtering (or publish/ subscribe) paradigm, clients subscribe to a server with co...
Text search engines return a set of k documents ranked by similarity to a query. Typically, document...
Approach: Continuous top-k text queries News and social media produce huge amounts of information it...
With the proliferation of the world's ``information highways'' a renewed interest in efficient docum...
Previous research into the efficiency of text retrieval systems has dealt primarily with methods tha...
User penchants are shown by a set of keywords. A central server monitors the document stream and con...
Previous research into the efficiency of text retrieval systems has dealt primarily with methods tha...
Modern text analytics applications operate on large volumes of temporal text data such as Web archiv...
Search engines use inverted files as index data structures to speed up the solution of user queries...
The task of an information retrieval system is to identify documents that will satisfy a user’s info...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
In Internet, there are huge amount of information which are mainly text documents such as Blog and T...
International audienceIn this work we are interested in the scalable processing of content filtering...
Full-text information retrieval systems have tradi-tionally been designed for archival environments....
© 2017 ACM. Many real applications in real-time news stream advertising call for efficient processin...
In the information filtering (or publish/ subscribe) paradigm, clients subscribe to a server with co...
Text search engines return a set of k documents ranked by similarity to a query. Typically, document...
Approach: Continuous top-k text queries News and social media produce huge amounts of information it...
With the proliferation of the world's ``information highways'' a renewed interest in efficient docum...
Previous research into the efficiency of text retrieval systems has dealt primarily with methods tha...
User penchants are shown by a set of keywords. A central server monitors the document stream and con...
Previous research into the efficiency of text retrieval systems has dealt primarily with methods tha...
Modern text analytics applications operate on large volumes of temporal text data such as Web archiv...
Search engines use inverted files as index data structures to speed up the solution of user queries...
The task of an information retrieval system is to identify documents that will satisfy a user’s info...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
In Internet, there are huge amount of information which are mainly text documents such as Blog and T...