Ex Parte Gillespie et alDownload PDFPatent Trial and Appeal BoardNov 24, 201412465067 (P.T.A.B. Nov. 24, 2014) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE ____________ BEFORE THE PATENT TRIAL AND APPEAL BOARD ____________ Ex parte SCOTT GILLESPIE and THOMAS K. TOMOSKY ____________ Appeal 2012-003315 Application 12/465,067 Technology Center 3600 ____________ Before MURRIEL E. CRAWFORD, ANTON W. FETTING, and NINA L. MEDLOCK, Administrative Patent Judges. CRAWFORD, Administrative Patent Judge. DECISION ON APPEAL STATEMENT OF THE CASE Appellants seek our review under 35 U.S.C. § 134 of the Examiner’s final decision rejecting claims 1–22. We have jurisdiction over the appeal under 35 U.S.C. § 6(b). We REVERSE. Claim 1 is illustrative: 1. A method for grouping hotels for a travel entity, comprising: identifying a plurality of hotels stayed at in the past by members of a travel entity; Appeal 2012-003315 Application 12/465,067 2 identifying a subset of hotels from the plurality of hotels, where the subset of hotels having a particular significance to the travel entity, each hotel being associated with a position indicator; clustering hotels in the subset of hotels using a clustering algorithm implemented by one or more processors, where the clustering algorithm compares hotels in the subset of hotels to each other using a similarity measure and the position indicator for each hotel serves as a similarity measure for the clustering algorithm; and displaying on a display device a visual depiction of hotels in a given cluster resulting from the clustering algorithm. The Examiner relies on the following prior art references in rejecting the claims on appeal: Udelhoven US 2002/0077871 A1 June 20, 2002 Treyz US 6,711,474 B1 Mar. 23, 2004 Rozell US 2005/0004830 A1 Jan. 6, 2005 Sadri US 2005/0027705 A1 Feb. 3, 2005 Agrawal US 2005/0131770 A1 June 16, 2005 Sladky US 7,555,387 B2 June 30, 2009 Julie Barker, Keeping control when hotel costs soar, 47 Successful Meetings, 31 (Mar. 1998) (hereinafter “Barker”). Appellants appeal the following rejections: Claims 1, 2, 4, 6, and 7 are rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Udelhoven and Rozell. Claim 3 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Udelhoven and Rozell and further in view of Agrawal. Claim 5 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Udelhoven and Rozell and further in view of Barker. Appeal 2012-003315 Application 12/465,067 3 Claims 8–9 are rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Udelhoven and Rozell and further in view of Sadri. Claim 10 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Udelhoven and Rozell and further in view of Sladky. Claims 11, 12, 14, 16–19, and 21 are rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Sadri and Rozell. Claim 13 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Sadri and Rozell and further in view of Agrawal. Claim 15 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Sadri and Rozell and further in view of Barker. Claim 20 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Sadri and Rozell and further in view of Sladky. Claim 22 is rejected under 35 U.S.C. § 103(a) as being unpatentable over Treyz in view of Udelhoven and Rozell and further in view of Sadri. ISSUE Did the Examiner err in rejecting the claims because Rozell does not disclose clustering hotels using a clustering algorithm that compares hotels to each other? ANALYSIS The Appellants argue that in the invention the clustering of hotels is done by using a clustering algorithm that compares hotels to one another, whereas in Rozell any comparison that takes place between hotels happens after the clustering. Appeal 2012-003315 Application 12/465,067 4 In rejecting the claims the Examiner relies on Rozell for teaching comparing hotels in the subset of hotels to each other using a similarity measure (Ans. 6). We find that Rozell discloses that hotels are clustered according to location using their longitude and latitude within a mileage threshold of a cluster center (¶ 43). After the cluster is established, the star ratings of the various hotels are compared (¶ 63). We find that Rozell does not disclose clustering hotels using a clustering algorithm that compares hotels to each other. Therefore, we will not sustain the Examiner’s rejection of claim 1 and claims 2, 4, 6, and 7 that are dependent therefrom. We will also not sustain the remaining rejections of the Examiner because each of the claims rejected requires clustering hotels using a clustering algorithm that compares hotels to each other and in each of the remaining rejections, the Examiner relies on Rozell for teaching this subject matter. DECISION The decision of the Examiner is reversed. REVERSED hh Copy with citationCopy as parenthetical citation