Not gone, but forgotten: Helping users re-find web pages by identifying those which are most likely to be lost
Venue
Proceedings of the SIGIR 2010 Workshop on Desktop Search (Understanding, Supporting and Evaluating Personal Data Search)., ACM, SIGIR, http://www.cdvp.dcu.ie/DS2010/DesktopSearchProceedings.pdf, pp. 7-8
Publication Year
2010
Authors
Karl Gyllstrom, Elin Rønby Pedersen
BibTeX
Abstract
We describe LostRank, a project in its formative stage which aims to produce a way
to rank results in re-finding search engines according to the likelihood of their
being lost to the user. To this end, we have explored a number of ideas, including
applying users' temporal document access patterns to determine the documents that
are both important and have not been recently accessed (indicating greater
potential for loss), understanding users' topical access patterns to determine the
topics that are more unfamiliar and hence more difficult to re-find documents
within, and assessing users' difficulties in originally finding documents in order
to predict future difficulties in re-finding them. As a position paper, we use this
as an opportunity to describe early work, invite collaboration with others, and
further the case for the use of temporal access patterns as a source for assisting
users' re-finding of personal documents.
