Ex Parte MesarosDownload PDFPatent Trial and Appeal BoardSep 28, 201613460478 (P.T.A.B. Sep. 28, 2016) Copy Citation UNITED STA TES p A TENT AND TRADEMARK OFFICE APPLICATION NO. FILING DATE 13/460,478 04/30/2012 105882 7590 09/30/2016 Lewis Roca Rothgerber LLP - e Win Win Inc. 4300 Bohannon Drive Suite 230 Menlo Park, CA 94025 FIRST NAMED INVENTOR Gregory J. Mesaros 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 ATTORNEY DOCKET NO. CONFIRMATION NO. EWIN-013COL 2088 EXAMINER FADOK,MARKA ART UNIT PAPER NUMBER 3625 NOTIFICATION DATE DELIVERY MODE 09/30/2016 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): gmesaros@ewinwin.com ipdockets@lrrlaw.com pto@lrrc.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte GREGORY J. MESAROS Appeal2014-004266 Application 13/460,478 Technology Center 3600 Before MURRIEL E. CRAWFORD, HUBERT C. LORIN, and MATTHEWS. MEYERS, Administrative Patent Judges. CRAWFORD, Administrative Patent Judge. DECISION ON APPEAL STATEMENT OF THE CASE Appellant seek our review under 35 U.S.C. § 134 of the Examiner's final decision rejecting claims 1, 12, 23 and 35--43. We have jurisdiction over the appeal under 35 U.S.C. § 6(b). We REVERSE. Claim 1 is illustrative: 1. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for providing discounted offer pricing, the method comprising: receiving one or more buyer-selected criteria; Appeal2014-004266 Application 13/460,478 identifying at least one offer from a plurality of offers for an item for sale at a static, nonnegotiable, and discounted price to at least one potential buyer for a finite period of time, wherein: the at least one offer meets buyer-selected criteria, including a price range and a quality rating associated with a provider of the offer, details about the offer and information regarding the provider of the off er are presented before the at least one potential buyer places an order, and the provider has a private account and a stored method of payment with a third party associated with presenting offers to potential buyers; presenting the at least one offer; and storing a selection of a type of category or a provider of interest for the offer at the discounted price presented to the at least one potential buyer, wherein: the at least one potential buyer receives updates for subsequent offers based at least in part on the stored selection, and the updates are sent in response to a buyer-selected . ,. .. commumcauon prererence. Appellant appeals the following rejection: 1. Claims 1, 12, 23, and 35--43 under 35 U.S.C. § 103(a) as unpatentable over Ojha (US 6,598,026 Bl, iss. July 22, 2003), Walker (US 5,794,207, iss. Aug. 11, 1998), Ex parte Wu, 10 USPQ2d 2031 (BP AI 1989), and Herz (US 5,754,939, iss. May 19, 1998). ISSUE Did the Examiner err in rejecting claim 1 because Herz does not disclose identifying at least one offer from a plurality of offers for an item for sale to at least one potential buyer wherein the at least one offer meets 2 Appeal2014-004266 Application 13/460,478 buyer-selected criteria, including a quality rating associated with a provider of the off er? ANALYSIS Appellant argues that Herz fails to teach criteria that include a quality rating associated with a provider of the offer. We agree. The Examiner finds in the Final Action that Herz teaches filter parameters that are set by the buyer including quality parameters that are used to sort through potential offers and cites Herz at column 61, lines 25- 55, column 17, lines 1--49, column 22, lines 17----63 and column 36, lines 25- 31 (Final Act 4). In the Answer the Examiner additionally cites column 18, lines 50-60, column 11, line 52---column 12, line 2 and finds that Herz teaches a user rating objects and calculating an "intrinsic quality measure." We find that column 61, lines 25-55 of Herz discloses using attributes of investments to match investments of interest to a user. The quality attributes described in this column refer to negative or positive weights assigned to investments based on, for example, historical fluctuations in dividends. This disclosure does not relate to identifying an offer based on buyer selected criteria which includes a quality rating. We find that column 17, lines 1--49 of Herz discloses a system that filters attributes associated with objects to determine which objects will be of greatest interest to the buyers in order to match buyers with sellers. This also does not relate to identifying an offer based on a buyer selected quality rating. We find that column 22, lines 17----63 teaches associating a weight "with each attribute used in the profile of (user, target object) pairs, that is, 3 Appeal2014-004266 Application 13/460,478 with each attribute used to profile either users or target objects." Thus, the weights "specify the relative importance of the attributes in establishing similarity or difference, and therefore, in determining how topical interest is generalized from one (user, target object) pair to another" (Id.). This disclosure does not relate to offers much less identifying an off er based on a buyer selected quality rating. We find that column 36, lines 25-31 of Herz discloses a credentialing system that lists quality related credentials based upon the experience of transaction (or interaction) with the user which may acts similarly to a letter of recommendation as in a resume. This portion of Herz relates to recommending a user based on past experience but does not relate to identifying offers based on a buyer selected quality rating. We find that column 18, lines 50-60 of Herz discloses that quality attributes can be used to determine the interest of a user. This does not 1 ' ' • 1 '... • (""("" 1 1 1 1 • 1 '... • .1 1 1 re1ace w 10ennrymg oners oy a ouyer mucn iess 10ennrymg 1nem oasea on a buyer selected quality rating. We find that column 11, line 52---column 12, line 2 discloses that investors may use various attributes to characterize a corporation such as type of business, corporate mission, number of employess, dividend payout and appreciation of stock. This portion of Herz does not relate to a buyer- selected criteria, including a quality rating. The Examiner, in the Answer adds US Patent 7,016,865 to Weber et al to clarify the use of a seller quality rating and US Patent 7,013,285 to Rebane to clarify the use of a seller quality rating. It is not clear why such clarification is needed. In any case, these references generally teach that it was known to rate vendors. Weber does this by the vendor job assignment 4 Appeal2014-004266 Application 13/460,478 portion of a server picking a vendor based on quality and Rebane discloses that consumers can rate vendors. Neither of these references teach identifying offers based on buyer selected criteria which includes a quality rating. In view of the foregoing, we will not sustain the rejection of claim 1. We will also not sustain the rejection as to the remaining claims on appeal because these claim include a buyer-selected criteria including a quality rating. DECISION The decision of the Examiner is reversed. REVERSED 5 Copy with citationCopy as parenthetical citation