| Nichols, D.M., Twidale, M.B. and Paice, C.D. Recommendation and usage in the digital library. Technical Report, Computing Department, Lancaster Univ., UK, 1997. Available at http://www.comp.lancs.ac.uk/computing/research/cseg/projects/ariadne/docs/recommend.html. 20 |
....similar interests, matchmaking, may be a useful service for a DL: people working on similar projects may be unaware of each other (Foner and Crabtree 1996) particularly if they have a background in different subject areas. other users may be useful filters and sources of recommendations (Nichols, Twidale and Paice 1997) that can help to prevent the continuous re invention of the wheel . some users, especially those new to a field, are not plugged in to the word of mouth in a subject area (Foner and Crabtree 1996) some may not have the resources to engage in traditional forms of matchmaking such as ....
....the user is to use ubiquitous automatically generated metadata. For example, regarding a catalogue record as a history enriched digital object (Hill and Hollan 1994) that records its usage by different users (Bhm and Rakow 1994) potentially enables those users to become candidates for matchmaking (Nichols, Twidale and Paice 1997). This usage information can be at a fine level of granularity (this user consulted this particular document or part of a document) which facilitates particularly accurate matches . The hypothesis is that the usage of real resources (as opposed to self description) is a useful indicator of ....
[Article contains additional citation context not shown here]
Nichols, D.M., Twidale, M.B. and Paice, C.D., 1997, Recommendation and Usage in the Digital Library, Technical Report CSEG/2/97, Computing Department, Lancaster University.
....types of data that can, in principle, be captured. Stevens, 1992] uses three types of implicit data: read ignored, saved deleted and replied not replied. Morita and Shinoda, 1994] use reading duration in place of the read ignore attribute. Combining these forms with the types of usage data in [Nichols, Twidale and Paice, 1997] produces Table 1. Some of the data sources have additional information (e.g. a purchase decision has a price) these are indicated in parentheses. Action Notes Purchase (Price) buys item Assess evaluates or recommends Repeated Use (Number) e.g. multiple check out stamps Save saves ....
Nichols, D.M., Twidale, M.B. and Paice, C.D. (1997), Recommendation and Usage in the Digital Library, Technical Report CSEG/2/97, Computing Department, Lancaster University.
....and studied. Stevens, 1992) uses three types of implicit data: read ignored, saved deleted and replied not replied. Morita and Shinoda, 1994) use reading duration in place of the read ignore attribute. Table 1 shows the result of combining these forms with the types of usage data described in (Nichols, Twidale and Paice, 1997). Action Notes Purchase (Price) buys item Assess evaluates or recommends Repeated Use (Number) e.g. multiple check out stamps Save Print saves document to personal storage Delete deletes an item Refer cites or otherwise refers to item Reply (Time) replies to item Mark add to a marked or ....
Nichols, D.M., Twidale, M.B. and Paice, C.D. (1997), Recommendation and Usage in the Digital Library, Technical Report CSEG/2/97, Computing Department, Lancaster University.
No context found.
Nichols, D.M., Twidale, M.B. and Paice, C.D. Recommendation and usage in the digital library. Technical Report, Computing Department, Lancaster Univ., UK, 1997. Available at http://www.comp.lancs.ac.uk/computing/research/cseg/projects/ariadne/docs/recommend.html. 20
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