With the growth of the internet and other media of communication, locating information on the topic of interest is less a problem of finding related documents than determining which particular documents are valuable. Often, the desired information is obscured within a long list of resources. Users become inundated with so much information that the task of sifting through it takes the majority of time on a given information task. Users look at multiple documents at once to find answers to their questions, and switch between documents to get the âÂÂcompleteâ picture. New systems are needed that help users cull through related documents to gain the information they need. As a part of the Document Triage Project, we have been looking at way...
Ranking documents in response to users' information needs is a challenging task, due, in part, to t...
Browsing sessions are rich in elements useful to build profiles of user interests, but at the same t...
Much research in information retrieval (IR) focuses on optimisation of the rank of relevant retrieva...
People frequently must sort through and identify relevant materials from a large set of documents, s...
Modeling and understanding users interests has become an essential part of our daily lives. A variet...
Interactive web search involves selecting which documents to read further and locating the parts of ...
A user often interacts with multiple applications while working on a task. User models can be develo...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02580-8_36Pro...
Abstract—A user often interacts with multiple applications while working on a task. User models can ...
People must frequently sort through and identify relevant materials from a large set of documents. D...
Abstract—The fundamental purpose of a personalized information retrieval system is to provide releva...
Interest, the curious emotion, plays a crucial role as an intrinsic motivator to encounter new thing...
As part of the information seeking process, a large amount of effort is invested in order to study a...
Ranking documents in response to users\u27 information needs is a challenging task, due, in part, to...
The amount of information available world-wide and its network-based linkage will continue its rapid...
Ranking documents in response to users' information needs is a challenging task, due, in part, to t...
Browsing sessions are rich in elements useful to build profiles of user interests, but at the same t...
Much research in information retrieval (IR) focuses on optimisation of the rank of relevant retrieva...
People frequently must sort through and identify relevant materials from a large set of documents, s...
Modeling and understanding users interests has become an essential part of our daily lives. A variet...
Interactive web search involves selecting which documents to read further and locating the parts of ...
A user often interacts with multiple applications while working on a task. User models can be develo...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02580-8_36Pro...
Abstract—A user often interacts with multiple applications while working on a task. User models can ...
People must frequently sort through and identify relevant materials from a large set of documents. D...
Abstract—The fundamental purpose of a personalized information retrieval system is to provide releva...
Interest, the curious emotion, plays a crucial role as an intrinsic motivator to encounter new thing...
As part of the information seeking process, a large amount of effort is invested in order to study a...
Ranking documents in response to users\u27 information needs is a challenging task, due, in part, to...
The amount of information available world-wide and its network-based linkage will continue its rapid...
Ranking documents in response to users' information needs is a challenging task, due, in part, to t...
Browsing sessions are rich in elements useful to build profiles of user interests, but at the same t...
Much research in information retrieval (IR) focuses on optimisation of the rank of relevant retrieva...