Add to ORKGAbstract. Communication and collaboration with other people is a major theme in the information seeking process. Collaborative querying addresses this issue by sharing other users ’ search experiences to help users formulate appropriate queries to a search engine. This paper describes a collaborative querying system that helps users with query formulation by finding previously submitted similar queries through mining web logs. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph-based approach to visualize the query recommendations.
Abstract—The collective feedback of the users of an Infor-mation Retrieval system has been proved to...
In this paper we suggest a method that, given a query presented to a search engine, proposes a list ...
In this paper, a recommendation system for querying web pages is developed. When users query web pag...
Communication and collaboration with other people is a major theme in the information seeking proces...
Abstract. Collaborative querying seeks to help users formulate queries by sharing expert knowledge o...
Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other us...
The study of information seeking behavior reveals that collaboration with other people is an importa...
Information overload has led to a situation where users are swamped with too much information, resul...
Abstract. In this paper we propose a method that, given a query submitted to a search engine, sugges...
Abstract- Database Management Systems interact with the user to capture and to analyze data. The non...
Abstract: Query clustering is a task that groups similar queries automatically without using predet...
This dissertation proposes an extended K-means query clustering approach to cluster user queries uti...
This paper describes a new query clustering method that makes use of user logs which allow us to ide...
In this work we propose a method that retrieves a list of related queries given an initial input que...
Abstract — Lots of information are gathered in dataminings that are navigated and explored for analy...
Abstract—The collective feedback of the users of an Infor-mation Retrieval system has been proved to...
In this paper we suggest a method that, given a query presented to a search engine, proposes a list ...
In this paper, a recommendation system for querying web pages is developed. When users query web pag...
Communication and collaboration with other people is a major theme in the information seeking proces...
Abstract. Collaborative querying seeks to help users formulate queries by sharing expert knowledge o...
Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other us...
The study of information seeking behavior reveals that collaboration with other people is an importa...
Information overload has led to a situation where users are swamped with too much information, resul...
Abstract. In this paper we propose a method that, given a query submitted to a search engine, sugges...
Abstract- Database Management Systems interact with the user to capture and to analyze data. The non...
Abstract: Query clustering is a task that groups similar queries automatically without using predet...
This dissertation proposes an extended K-means query clustering approach to cluster user queries uti...
This paper describes a new query clustering method that makes use of user logs which allow us to ide...
In this work we propose a method that retrieves a list of related queries given an initial input que...
Abstract — Lots of information are gathered in dataminings that are navigated and explored for analy...
Abstract—The collective feedback of the users of an Infor-mation Retrieval system has been proved to...
In this paper we suggest a method that, given a query presented to a search engine, proposes a list ...
In this paper, a recommendation system for querying web pages is developed. When users query web pag...