Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this article, we describe an approach that uses unobtrusive monitoring of interaction to proactively support searchers. The approach chooses terms to better represent information needs by monitoring searcher interaction with different representations of top-ranked documents. Information needs are dynamic and can change as a searcher views information. The approach we propose gathers evidence on potential changes in these needs and uses this evidence to choose new retrieval strategies. We present an evaluation of how well our technique estimates information needs, how well...
Abstract. Our goal in this study was to explore the potentials of extracting features from eye-track...
A major limitation of most existing retrieval models and systems is that the retrieval decision is m...
We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We emplo...
Searchers can face problems finding the information they seek. One reason for this is that they may ...
Searchers can find the construction of query statements for submission to Information Retrieval (IR)...
In this paper we report on a study of implicit feedback models for unobtrusively tracking the inform...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
Advances in search technology have meant that search systems can now offer assistance to users beyon...
Whenever access to information is mediated by a computer, we can easily record how users respond to ...
In this paper we examine the extent to which implicit feedback (where the system attempts to estimat...
Users of online search engines often find it difficult to express their need for information in the ...
In this article we describe an evaluation of relevance feedback (RF) algorithms using searcher simul...
Information retrieval systems are critical for overcoming information overload. A major deficiency o...
Information retrieval systems (e.g., web search engines) are critical for overcoming information ove...
Search sessions consist of a person presenting a query to a search engine, followed by that person e...
Abstract. Our goal in this study was to explore the potentials of extracting features from eye-track...
A major limitation of most existing retrieval models and systems is that the retrieval decision is m...
We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We emplo...
Searchers can face problems finding the information they seek. One reason for this is that they may ...
Searchers can find the construction of query statements for submission to Information Retrieval (IR)...
In this paper we report on a study of implicit feedback models for unobtrusively tracking the inform...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
Advances in search technology have meant that search systems can now offer assistance to users beyon...
Whenever access to information is mediated by a computer, we can easily record how users respond to ...
In this paper we examine the extent to which implicit feedback (where the system attempts to estimat...
Users of online search engines often find it difficult to express their need for information in the ...
In this article we describe an evaluation of relevance feedback (RF) algorithms using searcher simul...
Information retrieval systems are critical for overcoming information overload. A major deficiency o...
Information retrieval systems (e.g., web search engines) are critical for overcoming information ove...
Search sessions consist of a person presenting a query to a search engine, followed by that person e...
Abstract. Our goal in this study was to explore the potentials of extracting features from eye-track...
A major limitation of most existing retrieval models and systems is that the retrieval decision is m...
We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We emplo...