Appeal 2007-1122
Application 09/966,414
ISSUE
The issue is whether Appellants have shown that the Examiner erred
in rejecting the claims under 35 U.S.C. § 102(b).
FINDINGS OF FACT
1. Payton describes a virtual on-demand digital information system that
intelligently caches data at the site of local subscribers. (Col. 1, ll. 9-
14.) By predicting which items a subscriber is likely to request and
storing those items locally, the system reduces the number of
subscriber requests that must be provided on-demand from the central
distribution server. (Col. 3, ll. 33-37.)
2. Payton discloses a subscriber data base 38 that stores a subscriber
profile 40 for each subscriber. (Col. 5, ll. 6-7.) The subscriber profile
40 may include a rating vector in which the subscriber has rated items
that were previously requested, and also may include demographic
information about the subscriber such as the subscriber's general likes
and dislikes. (Col. 5, ll. 7-12; Fig. 6.)
3. The rating vectors 146 of the subscriber profile 40 have a length equal
to the total number of items stored in the central distribution server
24, and that each dimension of the vector corresponds to a particular
item 36 and is assigned a rating 148. (Col. 8, ll. 50-54; Fig. 6.)
Empty spaces in the vector 146 represent items which have not been
rated, and ratings for these items are predicted by a collaborative filter
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