Ex Parte Deng et alDownload PDFPatent Trial and Appeal BoardJan 25, 201813689956 (P.T.A.B. Jan. 25, 2018) Copy Citation United States Patent and Trademark Office UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O.Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 13/689,956 11/30/2012 Peter Xiu Deng 079894.0688 9844 91230 7590 01/29/2018 Raker Rntts; T T P /Faeehnnk Tne EXAMINER 2001 ROSS AVENUE HE, WEIMING SUITE 700 Dallas, TX 75201 ART UNIT PAPER NUMBER 2612 NOTIFICATION DATE DELIVERY MODE 01/29/2018 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): ptomaill @bakerbotts.com ptomai!2 @ bakerbotts .com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte PETER XIU DENG and JOSHUA WILLIAMS Appeal 2017-002835 Application 13/689,956 Technology Center 2600 Before MICHAEL J. STRAUSS, JOSEPH P. LENTIVECH, and AARON W. MOORE, Administrative Patent Judges. MOORE, Administrative Patent Judge. DECISION ON APPEAL Appeal 2017-002835 Application 13/689,956 STATEMENT OF THE CASE Appellants1 appeal under 35 U.S.C. § 134(a) from a Final Rejection of claims 1—14 and 21—27, which are all of the pending claims. We have jurisdiction under 35 U.S.C. § 6(b). We reverse. THE INVENTION The application is directed to “personalized and curated recommendations provided by other users” of a social media network. (Spec. 1 5.) Claim 1, reproduced below, exemplifies the subject matter on appeal: 1. A method comprising: by a server computing device, receiving one or more recommendations from one or more second users for the first user, wherein the one or more recommendations are associated with one or more items corresponding to one or more nodes of a social graph at one or more geo-locations and wherein the one or more second users select the first user as an addressee of the one or more recommendations, each of the one or more recommendations comprising information that: identifies the respective item being recommended; identifies the geo-location associated with the item being recommended; provides an explanation for the recommendation; identifies the first user as the addressee of the recommendation; and 1 Appellants identify Facebook, Inc. as the real party in interest. (See App. Br. 3.) 2 Appeal 2017-002835 Application 13/689,956 identifies the respective second user as an author of the recommendation; by the server computing device, storing the one or more recommendations; by the server computing device, determining, in response to receiving location data from a mobile client computing device associated with the first user, whether the mobile client computing device is near one or more of the geo-locations associated with respective one or more of the items being recommended; by the server computing device, ranking the one or more recommendations based on relative location proximities of the one or more items being recommended to the mobile client computing device and further based on a relationship between the first user and each respective second user within the social graph; and by the server computing device, providing automatically to the mobile client computing device the stored one or more recommendations for presentation to the first user in response to the determination that the mobile client computing device is near one or more geo-locations associated with respective one or more items being recommended, wherein the stored recommendations are presented in an order based on their respective rankings, each of the stored recommendations comprising: a description of the respective item associated with the respective geo-location; the explanation for the recommendation; and an identification of the respective second user as the author of the recommendation. 3 Appeal 2017-002835 Application 13/689,956 THE REJECTION AND THE REFERENCES Claims 1—14 and 21—27 stand rejected under 35 U.S.C. § 103(a) as unpatentable over Berman et al. (US 8,095,432 Bl; issued Jan. 10, 2012), Schaefer, IV et al. (US 2011/0173130 Al; published July 14, 2011), Calabria (US 2006/0143068 Al; published June 29, 2006), and Jim Kaskade, Big Data & the Future of Selling ‘Stuff (posted on Jan. 4, 2012; presently available at http://jameskaskade.com/?p=2305). (See Final Act. 3— 13.) ANALYSIS In pertinent part, claim 1 is directed to a method in which a server receives recommendations from second users for a first user, where the second users select the first user as an addressee of the recommendations. The server then (a) determines when the first user’s mobile device is near a location corresponding to the subject of a recommendation, (b) ranks recommendations based on relative proximities and the relationship between the users, and (c) provides the first user with the recommendations in an order based on the ranking. Appellants argue the “Berman-Schaefer-Calabria-Kaskade combination fails to disclose, teach, or suggest receiving a recommendation from a second user for a first user, wherein the second user selects the first user as an addressee of the recommendation, as independent Claim 1 recites.” (App. Br. 8, emphasis omitted.) The Examiner responds by citing Berman at 5:53—67 and 6:58—61, said to “clearly teach[] a recommendation is displayed within the social network or delivered with relationship in e-mail or text message etc.” as 4 Appeal 2017-002835 Application 13/689,956 “[f]or example, the second user may select the first user as an addressee of the recommendation in e-mail or text message manner.” (Ans. 2—3.) The Examiner further states that “[i]t is also well-known that a communication can be performed between the targeted users in the social network” and “[f]or example, user A within [the] Facebook network can send [a] message or recommendation to user A’s defined ffiend(s) within [the] Facebook network.” {Id. at 3.) The Examiner adds that Schaefer 115 “also teaches that the recommendation information can be presented through a text message, an email or any suitable format.” {Id., emphasis omitted.) Having reviewed the cited portions of Berman, we agree with Appellants that they “merely specif[y] different communications means for a system to deliver . . . general, non-addressed recommendations to the inquiring member—i.e., within a social network, e-mail, text messages, or other messaging methods.” (Reply Br. 2.) The same is true of Schaefer which, as Appellants observe, “merely describes how general, non-addressed information can be presented by a system to a user by any of several delivery means, including e-mail and text messaging.” (Reply Br. 3.) We do not find in the cited portions of the references a teaching or suggestion of one user selecting another user as an addressee of a recommendation. We conclude that the Examiner has not shown it would have been obvious to “receiv[e] one or more recommendations from one or more second users for [a] first user . . . wherein the one or more second users select the first user as an addressee of the one or more recommendations.” We accordingly do not sustain the Section 103 rejection of claim 1 or the Section 103 rejection of claims 2—14 and 21—27, all of which include the 5 Appeal 2017-002835 Application 13/689,956 subject language. Because this issue is dispositive, we do not reach Appellants’ other arguments. DECISION The rejections of claims 1—14 and 21—27 are reversed. REVERSED 6 Copy with citationCopy as parenthetical citation