Nichols, D. M. 1997. Implicit Ratings and Riltering. In Proceedings of the 5 th DELOS Workshop on Filtering and Collaborative Filtering, 10-12. Budapaest, Hungary, ERCIM.

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Implicit Feedback for Recommender Systems - Oard (1998)   (15 citations)  (Correct)

....seek to avoid this bottleneck by inferring something similar to the ratings that a user would assign from observations that are available to the system. Such an approach could greatly extend the range of applications for which recommender systems would be useful. Sources of Implicit Feedback Nichols (1997) surveyed the state of the art in implicit feedback techniques with an eye toward their potential use for information filtering. Table 1 presents the sources identified by Nichols and some others that we believe will also be useful. 1 In addition to explicit ratings we have identified three ....

....useful observations: examination, retention and reference. Information systems often provide brief summaries of several promising documents using some sort of selection interface display, and selection of individual objects for further examination can thus provide the first cue about a 1 Nichols (1997) suggested two additional behaviors related to content based retrieval: discovery of users that present a common set of query terms and discovery of users that retrieve similar documents. Both can be mapped into our framework by adopting the perspective that queries are information objects in ....

Nichols, D. M. 1997. Implicit Ratings and Riltering. In Proceedings of the 5 th DELOS Workshop on Filtering and Collaborative Filtering, 10-12. Budapaest, Hungary, ERCIM.

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