Much research in information retrieval (IR) focuses on optimization of the rank of relevant retrieval results for single shot ad hoc IR tasks. Relatively little research has been carried out on user engagement to support more complex search tasks. We seek to improve user engagement for IR tasks by providing richer representation of retrieved information. It is our expectation that this strategy will promote implicit learning within search activities. Specifically, we plan to explore methods of finding semantic concepts within retrieved documents, with the objective of creating improved document surrogates. Further, we would like to study search effectiveness in terms of different facets such as the user’s search experience, satisfaction, en...
There is broad consensus in the field of IR that search is complex in many use cases and application...
This dissertation examines the impact of exploration and learning upon eDiscovery information retrie...
While search technology is widely used for learning-oriented information needs, the results provided...
Much research in information retrieval (IR) focuses on optimization of the rank of relevant retrieva...
Much research in information retrieval (IR) focuses on optimization of the rank of relevant retrieva...
Much research in information retrieval (IR) focuses on optimisation of the rank of relevant retrieva...
Machine learning (ML) plays a central role in modern information retrieval (IR) systems. We argue th...
When using information retrieval (IR) systems, users often pose short and ambiguous query terms. It ...
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evid...
Searchers can find the construction of query statements for submission to Information Retrieval (IR)...
Personalization of information retrieval tailors search towards individual users to meet their parti...
In real-world information retrieval (IR) tasks, the searched items and/or the users\u27 queries ofte...
User engagement has become an important outcome measure in interactive information retrieval (IIR) r...
With the exponential growth of the Web and the inherent polysemy and synonymy problems of the natura...
Users make frequent use of Web search for learning-related tasks, but little is known about how diff...
There is broad consensus in the field of IR that search is complex in many use cases and application...
This dissertation examines the impact of exploration and learning upon eDiscovery information retrie...
While search technology is widely used for learning-oriented information needs, the results provided...
Much research in information retrieval (IR) focuses on optimization of the rank of relevant retrieva...
Much research in information retrieval (IR) focuses on optimization of the rank of relevant retrieva...
Much research in information retrieval (IR) focuses on optimisation of the rank of relevant retrieva...
Machine learning (ML) plays a central role in modern information retrieval (IR) systems. We argue th...
When using information retrieval (IR) systems, users often pose short and ambiguous query terms. It ...
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evid...
Searchers can find the construction of query statements for submission to Information Retrieval (IR)...
Personalization of information retrieval tailors search towards individual users to meet their parti...
In real-world information retrieval (IR) tasks, the searched items and/or the users\u27 queries ofte...
User engagement has become an important outcome measure in interactive information retrieval (IIR) r...
With the exponential growth of the Web and the inherent polysemy and synonymy problems of the natura...
Users make frequent use of Web search for learning-related tasks, but little is known about how diff...
There is broad consensus in the field of IR that search is complex in many use cases and application...
This dissertation examines the impact of exploration and learning upon eDiscovery information retrie...
While search technology is widely used for learning-oriented information needs, the results provided...