Index Catalog // ScholarsArchive@OSU

Creator:: Lowd, Daniel, Godde, Olivier, McLaughlin, Matthew, Nong, Shuzhen, Wang, Yun, and Herlocker, Jonathan L.
Abstract:: Collaborative filtering (CF)-based recommender systems predict what items a user will like or find useful based on the recommendations (active or implicit) of other members of a networked community. In spite of more than ten years of research, there is little consensus on state-of-the-art knowledge regarding CF predictive algorithms. There...
Resource Type:: Research Paper
Full Text:: for Synthesis of Knowledge Regarding Collaborative Filtering Algorithms Daniel Lowd†, Olivier Godde

Creator:: Webster, Janet G., Herlocker, Jonathan L., Pennington-Lehman, Heather, and Jung, Seikyung
Abstract:: As librarians, we recognize that users seldom approach a research project with a clear search strategy and thus we develop means to help them clarify their research objectives. However, our traditional methods do not translate well to the web environment, while at the same time demand for web access increases....
Resource Type:: Conference Proceeding

Creator:: Lehman, Heather and Webster, Janet G.
Abstract:: The project team surveyed and interviewed forty identified experts within the diverse tsunami community. The survey revealed that this community is a sophisticated user of Internet search engines and tools and is very familiar with existing information. The sites mentioned most frequently as being helpful were those of the National...
Resource Type:: Technical Report
Full Text:: collaborative filtering functions. We also suggest developing a collection pol- icy for digital information that

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