Abstract
When using the bookmark or "Favorites" function included with most web browsers, it is difficult to retrieve a target bookmark if it is not properly categorized or tagged with meaningful keywords. For this project, we propose using a method of human-like long term memory (LTM) rather than directories or keywords for searching and managing bookmark data. This experimental model takes into account the user's browsing experience (i.e. the bookmark's added date, number of visits, and last date visited) to create and manage bookmarks. A pilot study of the model shows that the new system is significantly more efficient at retrieving information from large collections of bookmark data. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Wang, M. J., Chen, K. M., & Hau, T. K. (2007). Using long term memory for bookmark management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4558 LNCS, pp. 812–820). Springer Verlag. https://doi.org/10.1007/978-3-540-73354-6_89
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