User penchants are shown by a set of keywords. A central server monitors the document stream and continuously reports to each user the top-k documents that are most relevant to her keywords. Our unprejudiced is to backing large numbers of users and high stream rates, while energizing the top-k results almost instantly. Our clarification walks out on the customary frequency-ordered indexing approach. As an alternative, it trails an identifier-ordering paradigm that ensembles better the nature of the problem. When supplemented with a new, locally adaptive method, our method offers confirmed optimality the number of well-thought-out queries per stream event, and direction of extent shorter retort time than the contemporary state-of-the-art
We show how full-text search based on inverted indices can be accelerated by clustering the document...
A collection of documents D1 of a search result R1 is a cluster if all the documents in D1 are simil...
The text filtering server monitors a stream of incoming documents for a set of users, who register t...
This thesis presents a system for web-based information retrieval that supports precise and informat...
People use web search engines to fill a wide variety of navigational, informational and transactiona...
We present methods for k-means clustering on a stream with a focus on providing fast responses to cl...
We propose a unique cluster-based retrieval (CBR) strategy using a new cluster-skipping inverted fil...
© 2017 ACM. Many real applications in real-time news stream advertising call for efficient processin...
Clustering of very large document databases is essential to reduce the spacehime complexity of infor...
This work addresses the problem of reducing the time between query submission and results output in ...
The goal of clustering web search results is to reveal the semantics of the retrieved documents. The...
Cataloged from PDF version of article.Our research shows that for large databases, without considera...
An important means of allowing non-expert end-users to pose ad hoc queries — whether over single dat...
We present a novel, hybrid approach for clustering text databases. We use a genetic algorithm to gen...
Abstract. Clustering of search results has been shown to be advantageous over the simple list presen...
We show how full-text search based on inverted indices can be accelerated by clustering the document...
A collection of documents D1 of a search result R1 is a cluster if all the documents in D1 are simil...
The text filtering server monitors a stream of incoming documents for a set of users, who register t...
This thesis presents a system for web-based information retrieval that supports precise and informat...
People use web search engines to fill a wide variety of navigational, informational and transactiona...
We present methods for k-means clustering on a stream with a focus on providing fast responses to cl...
We propose a unique cluster-based retrieval (CBR) strategy using a new cluster-skipping inverted fil...
© 2017 ACM. Many real applications in real-time news stream advertising call for efficient processin...
Clustering of very large document databases is essential to reduce the spacehime complexity of infor...
This work addresses the problem of reducing the time between query submission and results output in ...
The goal of clustering web search results is to reveal the semantics of the retrieved documents. The...
Cataloged from PDF version of article.Our research shows that for large databases, without considera...
An important means of allowing non-expert end-users to pose ad hoc queries — whether over single dat...
We present a novel, hybrid approach for clustering text databases. We use a genetic algorithm to gen...
Abstract. Clustering of search results has been shown to be advantageous over the simple list presen...
We show how full-text search based on inverted indices can be accelerated by clustering the document...
A collection of documents D1 of a search result R1 is a cluster if all the documents in D1 are simil...
The text filtering server monitors a stream of incoming documents for a set of users, who register t...