M. Claypool, P. Le, M. Waseda, and D. Brown, "Implicit Interest Indicators." in Intelligent User Interfaces, 2001, pp. 33--40. Home/Search Document Details and Download
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An Adaptive Stock Tracker for Personalized Trading Advice - Yoo, Gervasio, Langley (2003) (Correct)
....signi cant burden on users to provide explicit feedback on system advice. More recent work has proposed solutions ranging from asking the user to rate the most informative items [16] using synthetic users to augment the user pool [17] and using implicit feedback to approximate explicit ratings [5,9]. Rather than use low level events such as mouse and keyboard tracking to indicate interest or approval, the Stock Tracker relies on the implicit feedback [4,7,12] that comes naturally in the course of the user interacting with the system accepting recommendations to buy or sell stocks, or ....
M. Claypool, P. Le, M. Wased, and D. Brown. Implicit interest indicators. Proceedings of the International Conference on Intelligent User Interfaces, pages 33-40, 2001.
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....browser the agent observes a set of indicators in order to estimate the user interest in that Web page. This process is called implicit feedback since it can be obtained from the user without disturbing his normal behavior or distracting him to ask explicit evaluations for each visited page [2]. These indicators are the time consumed in reading (with Figure 4: PersonalSearcher example of search results relation to its length) the amount of scrolling in a page and whether it was added to the list of bookmarks. Documents classified as interesting by this means are recorded as textual ....
M. Claypool, P. Le, M. Waseda, and D. Brown. Implicit interest indicators. In Proceedings of ACM Intelligent User Interfaces Conference, 2001.
An Adaptive Stock Tracker for Personalized Trading Advice - Yoo, Gervasio, Langley (Correct)
....significant burden on users to provide explicit feedback on system advice. More recent work has proposed solutions ranging from asking the user to rate the most informative items [16] using synthetic users to augment the user pool [17] and using implicit feedback to approximate explicit ratings [5,9]. Rather than use low level events such as mouse and keyboard tracking to indicate interest or approval, the Stock Tracker relies on the implicit feedback [4,7,12] that comes naturally in the course of the user interacting with the system accepting recommendations to buy or sell stocks, or ....
M. Claypool, P. Le, M. Wased, and D. Brown. Implicit interest indicators. Proceedings of the International Conference on Intelligent User Interfaces, pages 33--40, 2001.
Adaptive Interfaces for Ubiquitous Web Access - Billsus, Brunk, Evans.. (2002) (2 citations) (Correct)
....and statistical techniques to construct a model of each user s interests. It is important that adaptive systems learn from a few examples and adapt quickly to changing user interests. To be truly useful in a mobile context, user s interests must be inferred implicitly from actions (cf. [5]) and not obtained exclusively from explicit content ratings provided by the user. For example, the more a user reads of an e mail message or news story, the higher his or her level of interest. Obtaining explicit feedback about user interest requires a user interface consuming screen real estate ....
Claypool, M., Le, P., Wased, M. and Brown, D. (2001) "Implicit interest indicators". in Proceedings of the International Conference on Intelligent User Interfaces, Santa Fe,33-40
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.... information retrieval has used document content, the use of alternative information sources is not new [2] More recently, the collaborative filtering domain has began to utilise more detailed behavioural information, such as the time spent, or quantity of mouse activity, within a web page [3, 4]. The specific recommendation task being considered here is an extension of that in Chalmers et al. [5] In this technique, a user s navigation within the web is tracked and time stamped to form a path . To compute recommendations for a user, a period corresponding to the current activity of the ....
....is on the overall structure of the user s navigation (the inter page behaviour) rather than the content, or behaviour, within a single page the significance of an individual page within the system is given by that page s relationships with other pages in the logged path. A different approach [3, 4] which still requires user tracking, is to look at behaviour within a single page (or document) access (the intra page behaviour) For example, in [4] three indicators of page importance (the number of hyperlinks clicked , the amount of user scrolling and the amount of mouse activity) are used to ....
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Claypool, M., et al., Implicit interest indicators, in Proceedings of ACM Intelligent User Interfaces Conference (IUI), Santa Fe, New Mexico. 2001, ACM.
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M. Claypool, P. Le, M. Waseda, and D. Brown, "Implicit Interest Indicators." in Intelligent User Interfaces, 2001, pp. 33--40.
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Claypool, M, Le, P, Wased, M and Brown, D, 2001, Implicit interest indicators. In Proceedings of the 2001, International Conference on Intelligent User Interfaces, pp.33--40.
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Claypool, M., et al., Implicit Interest Indicators. Proceedings of the Intelligent User Interfaces 2001 (IUI'01), New Mexico, USA. ACM, 33-40.
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Mark Claypool, Phong Le, Makoto Wased, and David Brown. Implicit interest indicators. In Intelligent User Interfaces, pages 33-40, 2001.
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