Add to ORKGWe demonstrate an adaptive search system that works proactively to help searchers find relevant information. The system observes searcher interaction, uses what it sees to model information needs and chooses additional query terms. The system watches for changes in the topic of the search and selects retrieval strategies that reflect the extent to which the topic is seen to change
Adaptive Hypermedia Systems (AHS) have long been concentrating on adaptive guidance of links between...
Abstract. Web search engines help users find useful information on the WWW. However, when the same q...
– Hand-tuned retrieval function • Hypothesis – Different users need different retrieval functions [T...
As the volume and breadth of online information is rapidly increasing, ad hoc search systems become ...
Online search has become an increasingly important part of the everyday lives of most computer users...
When an interactive search system returns a results list that fails to meet its user's information n...
Searchers can face problems finding the information they seek. One reason for this is that they may ...
Abstract. Information retrieval has become very popular over the last decade with the advent of the ...
This paper presents Prospector a front-end to the Google search engine which, using individual and g...
This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-orderi...
In the task of adaptive information filtering, a system receives a stream of documents but deliver...
Information-seeking tasks are usually characterized in terms of search and retrieval [1]. In these t...
The goal of this paper is to provide guidance to researchers investigating exploratory search behavi...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
Users who need several queries before finding what they need can benefit from an automatic search as...
Adaptive Hypermedia Systems (AHS) have long been concentrating on adaptive guidance of links between...
Abstract. Web search engines help users find useful information on the WWW. However, when the same q...
– Hand-tuned retrieval function • Hypothesis – Different users need different retrieval functions [T...
As the volume and breadth of online information is rapidly increasing, ad hoc search systems become ...
Online search has become an increasingly important part of the everyday lives of most computer users...
When an interactive search system returns a results list that fails to meet its user's information n...
Searchers can face problems finding the information they seek. One reason for this is that they may ...
Abstract. Information retrieval has become very popular over the last decade with the advent of the ...
This paper presents Prospector a front-end to the Google search engine which, using individual and g...
This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-orderi...
In the task of adaptive information filtering, a system receives a stream of documents but deliver...
Information-seeking tasks are usually characterized in terms of search and retrieval [1]. In these t...
The goal of this paper is to provide guidance to researchers investigating exploratory search behavi...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
Users who need several queries before finding what they need can benefit from an automatic search as...
Adaptive Hypermedia Systems (AHS) have long been concentrating on adaptive guidance of links between...
Abstract. Web search engines help users find useful information on the WWW. However, when the same q...
– Hand-tuned retrieval function • Hypothesis – Different users need different retrieval functions [T...