In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters it also refines its knowledge about the user's information needs based on relevance feedback from the user. Delivering a document thus has two e#ects: i) it satisfies the user's information need immediately, and ii) it helps the system better satisfy the user in the future by improving its model of the user's information need. The traditional approach to adaptive information filtering fails to recognize and model this second e#ect
htmlabstractUser-adaptive information filters can be a tool to achieve timely delivery of the right ...
Abstract. With the huge increase in the volume of information available in digital form and the incr...
grantor: University of TorontoA new approach to 'interactive information filtering' is pr...
This paper examines the problems of learning queries and dissemination thresholds from relevance fee...
Information Filtering is concerned with filtering data streams in such a way as to leave only pertin...
Information Filtering is concerned with filtering data streams in such a way as to leave only pertin...
To conduct efficient information filtering, uncertanties occurring at multiple levels must be manage...
Adaptive information filtering is concerned with filtering information streams in dynamic (changing)...
This paper was written for the project study “Adaptive Information Filtering” at the Department of C...
Information filtering is concerned with the process of filtering information relevant to an individu...
In the last years, research on adaptive Information Extraction from text (IE) has largely focused on...
Information Filtering is concerned with filtering data streams in such a way as to leave only pertin...
Information retrieval systems are critical for overcoming information overload. A major deficiency o...
A personal information filtering system monitors an incoming document stream to find the documents t...
A case study in adaptive information filtering systems for the Web is presented. The described syste...
htmlabstractUser-adaptive information filters can be a tool to achieve timely delivery of the right ...
Abstract. With the huge increase in the volume of information available in digital form and the incr...
grantor: University of TorontoA new approach to 'interactive information filtering' is pr...
This paper examines the problems of learning queries and dissemination thresholds from relevance fee...
Information Filtering is concerned with filtering data streams in such a way as to leave only pertin...
Information Filtering is concerned with filtering data streams in such a way as to leave only pertin...
To conduct efficient information filtering, uncertanties occurring at multiple levels must be manage...
Adaptive information filtering is concerned with filtering information streams in dynamic (changing)...
This paper was written for the project study “Adaptive Information Filtering” at the Department of C...
Information filtering is concerned with the process of filtering information relevant to an individu...
In the last years, research on adaptive Information Extraction from text (IE) has largely focused on...
Information Filtering is concerned with filtering data streams in such a way as to leave only pertin...
Information retrieval systems are critical for overcoming information overload. A major deficiency o...
A personal information filtering system monitors an incoming document stream to find the documents t...
A case study in adaptive information filtering systems for the Web is presented. The described syste...
htmlabstractUser-adaptive information filters can be a tool to achieve timely delivery of the right ...
Abstract. With the huge increase in the volume of information available in digital form and the incr...
grantor: University of TorontoA new approach to 'interactive information filtering' is pr...