"BookLamp.org is a system for matching readers to books through an analysis of writing styles, similar to the way that Pandora.com matches music lovers to new music. Do you like Stephen King’s It, but thought it was too long? The technology behind BookLamp allows you to find books that are written with a similar tone, tense, perspective, action level, description level, and dialog level, while at the same time allowing you to specify details like... half the length. It’s impervious to outside influences - like advertising - that impact socially driven recommendation systems, and isn’t reliant on a large user base to work."
Herzlich Willkommen in Gnod's Musikwelt... Selbst wenn Du nicht weißt, was Du suchst - Gnod findet es. Im Internet liegt Dir die Welt der Musik zu Füßen, doch Dir fällt manchmal gar nicht ein, was Dir noch gefallen könnte ? Jetzt kommt Gnod ins Spiel
This paper reports initial findings from a study that used quantitative and qualitative research methods and custom–built software to investigate online economies of reputation and user practices in online product reviews at several leading e–commerce sites (primarily Amazon.com).
We describe a network approach to building recommendation systems for a Web service. We employ two different types of weighted graphs in our analysis and development: Proximity graphs, a type of Fuzzy Graphs based on a co-occurrence probability, and semi-metric distance graphs, which do not observe the triangle inequality of Euclidean distances. Both types of graphs are used to develop intelligent recommendation and collaboration systems for the MyLibrary@LANL web service, a user-centered front-end to the Los Alamos National Laboratory's digital library collections and Web resources.
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