Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IEEE Transactions on Knowledge and Data Engineering
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Building a dynamic classifier for large text data collections
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Let's Trust Users It is Their Search
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
So now you're ready to play: but with what? a system to encourage playful exploration
HCIEd'09 Proceedings of the 2009 international conference on HCI Educators: playing with our Education
Design considerations for after death: comparing the affordances of three online platforms
Proceedings of the 24th Australian Computer-Human Interaction Conference
Search and explore: more than one way to find what you want
Proceedings of the 24th Australian Computer-Human Interaction Conference
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This paper explores the distinctions between searching and exploring when looking for information. We propose that, while traditional search engines work well in supporting search behaviour, they are more limited in assisting those who are looking to explore new information, especially when the exploration task is ill-defined. We ran a pilot study using two systems: one based on a traditional database search engine, and the other -- a highly innovative, engaging and playful system called iFISH -- that we designed specifically to support exploration through the use of user preferences. We looked for evidence to support the concept that exploration requires a different kind of interaction. The initial results report a positive response to our exploration system and indicate the differences in preferences amongst users for systems that match their searching or exploring behaviours.