Ex Parte CHAUHANDownload PDFPatent Trial and Appeal BoardSep 14, 201814310424 (P.T.A.B. Sep. 14, 2018) Copy Citation UNITED STA TES p A TENT AND TRADEMARK OFFICE APPLICATION NO. FILING DATE 14/310,424 06/20/2014 21839 7590 09/18/2018 BUCHANAN, INGERSOLL & ROONEY PC POST OFFICE BOX 1404 ALEXANDRIA, VA 22313-1404 FIRST NAMED INVENTOR Rohit CHAUHAN 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. 0076412-000271 1310 EXAMINER UBER, NATHAN C ART UNIT PAPER NUMBER 3622 NOTIFICATION DATE DELIVERY MODE 09/18/2018 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): ADIPDOC 1@BIPC.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte ROHIT CHAUHAN Appeal2017-003599 Application 14/310,424 1 Technology Center 3600 Before DEBRA K. STEPHENS, DANIEL J. GALLIGAN, and DAVID J. CUTITTA II, Administrative Patent Judges. Per curiam. DECISION ON APPEAL Appellant appeals under 35 U.S.C. § 134(a) from a final rejection of claims 1-20, which are all of the claims pending in the application. We have jurisdiction under 35 U.S.C. § 6(b ). We AFFIRM. 1 According to Appellant, the real party in interest is MasterCard International Incorporated (App. Br. 2). Appeal2017-003599 Application 14/310,424 CLAIMED SUBJECT MATTER According to Appellant, the claims are directed to assigning a spend profile to a user's mobile device by matching locations visited by the user's mobile device to locations included in a particular spend profile (Spec. ,r,r 43--45, Abstract). Claim 1, reproduced below, is representative of the claimed subject matter: 1. A method for assigning a spend profile to a mobile device based on location and transaction data, comprising: storing, in a profile database of a processing server, at least one spend profile, wherein each of the at least one spend profile includes a plurality of transaction data entries, each transaction data entry including data related to a payment transaction involving a common consumer and including at least a location identifier indicative of a geographic location at which the payment transaction occurred, transaction data associated with the payment transaction, and timing information indicative of a time at which the transaction occurred; receiving, by a receiving device of the processing server, a plurality of location data entries, wherein each location data entry (i) includes data related to a mobile communication device that is not associated with transaction data included in any spend profile of the at least one spend profile stored in the profile database and (ii) includes at least a geographic location of the mobile communication device and a time and/or date at which the corresponding geographic location of the mobile communication device was identified; identifying, by a processing device of the processing server, a specific spend profile of the at least one spend profile stored in the profile database for association with the mobile communication device by matching location data entries of the mobile communication device, received by the processing device, to transaction data entries included in the specific spend profile based on (i) a comparison between the geographic location and time and/or date included in respective location data entries, received by the processmg device, and the location 2 Appeal2017-003599 Application 14/310,424 identifier and timing information included in respective transaction data entries, and (ii) a predetermined tolerance level; and storing, in a mobile information database of the processing server, the mobile communication device in association with the identified specific spend profile. REFERENCES The prior art relied upon by the Examiner in rejecting the claims on appeal is: Blackhurst et al. US 2011/0246306 Al Falkenborg et al. US 2012/0022945 Al REJECTIONS Oct. 6, 2011 Jan.26,2012 Claims 1-20 stand rejected under 35 U.S.C. § 101 as being directed to patent-ineligible subject matter (Final Act. 2-5). Claims 1-20 stand rejected under 35 U.S.C. § I03(a) as being unpatentable over Blackhurst and Falkenborg (id. at 5-18). Our review in this appeal is limited only to the above rejections and the issues raised by Appellant. Arguments not made are waived. See MPEP § 1205.02; 37 C.F.R. §§ 4I.37(c)(l)(iv) and 4I.39(a)(l). ISSUE 1 35 U.S.C. §101: Claims 1-20 Appellant argues the invention as recited in claims 1-20 is directed to patent-eligible matter (App. Br. 5-19). The issue presented by the arguments is: Issue 1: Has the Examiner erred in concluding the claims are directed to patent-ineligible subject matter? 3 Appeal2017-003599 Application 14/310,424 ANALYSIS In Alice, the Supreme Court set forth an analytical "framework for distinguishing patents that claim laws of nature, natural phenomena, and abstract ideas from those that claim patent-eligible applications of those concepts" (Alice Corp. Pty. Ltd. v. CLS Banklnt'l, 134 S. Ct. 2347, 2355 (2014) (citing Mayo Collaborative Servs. v. Prometheus Labs., Inc., 132 S. Ct. 1289, 1296-97 (2012))). The first step in the analysis is to "determine whether the claims at issue are directed to one of those patent-ineligible concepts" (id.). If so, the second step is to consider the elements of the claims "individually and 'as an ordered combination' to determine whether the additional elements 'transform the nature of the claim' into a patent- eligible application" (id. ( quoting Mayo, 132 S. Ct. at 1297-98)). In other words, the second step is to "search for an 'inventive concept' - i.e., an element or combination of elements that is 'sufficient to ensure that the patent in practice amounts to significantly more than a patent upon the [ineligible concept] itself" (id. (brackets in original) (quoting Mayo, 132 S. Ct. at 1294)). First Step We agree with the Examiner's conclusion that independent claims 1 and 11 are directed to patent-ineligible subject matter. We first observe that independent claim 1 is directed a method claim and independent claim 11 is a system claim. As such, claims 1 and 11 are each are each directed to statutory subject matter within the meaning of 3 5 U.S. C. § 101. Next, we analyze the claims to determine whether they are directed to any judicial exception, e.g., an abstract idea. Addressing the claim 4 Appeal2017-003599 Application 14/310,424 limitations as a whole and as an ordered combination, we agree with the Examiner that the claims recite an ordered combination of abstract-idea processes (see Ans. 3). Our reviewing court has reiterated that "claims focused on 'collecting information, analyzing it, and displaying certain results of the collection and analysis' are directed to an abstract idea"' (SAP Am., Inc. v. Investpic, LLC, 890 F.3d 1016, 1021 (Fed. Cir. 2018) (quoting Electric Power Group, LLC v. Alstom S.A., 830 F.3d 1350, 1353 (Fed. Cir. 2016))). Our reviewing court has further determined that "classifying and storing" data is directed to an abstract idea (In re TL! Commc 'ns LLC Patent Litig., 823 F.3d 607, 611 (Fed. Cir. 2016)). Here, the Examiner determines that the "claims provide steps for compiling and storing consumer data" and further analyze that data by "recit[ing] steps for comparing information (i.e. consumer location and transaction data) and us[ing] rules (i.e. matching criteria) to identify options (i.e. which spend profile a mobile communication should be associated with)" (Ans. 3). Indeed, the claims recite steps for collecting information, i.e., "storing ... at least one spend profile ... includ[ing] a plurality of transaction data entries" and "receiving ... a plurality of location data entries." The next step recited by the claims, is for analyzing that collected information, i.e., "identifying ... a specific spend profile ... by matching location data entries ... to transaction data entries." Moreover, the final step recited by the claims requires nothing more than storing results of that analysis, i.e., "storing, in a mobile information database." The claims, thus, recite the combination of those abstract-idea processes to provide a process of analyzing consumer data valuable for marketing. As such, the claims are directed to an abstract idea (Elec. Power, 830 F.3d at 1354). 5 Appeal2017-003599 Application 14/310,424 That the "claims allow for analytics to be implemented on merchant data and cellular data to generate a particular type of consumer profile which may be dependent upon activity conducted by a consumer" (App. Br. 9) does not change the abstract nature of the claims. "As many cases make clear, even if a process of collecting and analyzing information is 'limited to particular content' or a particular 'source,' that limitation does not make the collection and analysis other than abstract" (SAP, 890 F .3d at 1022 ( citations omitted)). Here, specifying that the data is consumer activity data categorizes the abstract idea but does not serve to make the claims less abstract (id.). Further, we disagree with Appellant that the claims "reflect[] a technical solution to a technical problem" (App. Br. 6, 9-10, 18; Reply Br. 3--4) or that the "claims are directed to providing a technical solution that is inextricably tied to (inseparable from) a computer-implemented environment" (App. Br. 13-14 (emphasis omitted)). The subject matter of the application addresses "privacy issues for consumers" to improve the "low success rate" of certain advertisements and offers (Spec. ,r,r 2-3), which is directed to a business problem, not a technical problem. In particular, the focus of the claims is not any improved computer or network, but the improved matching of a spending profile to a user's mobile device to provide relevant advertisements to the user (see id.). Matching spending propensities, i.e., a profile, to a user via the user's mobile device does not improve computing systems; rather it uses computing systems only to implement the match. Indeed, the Specification discloses that off-the-shelf and generic computer technology is usable to carry out the analysis that matches a profile to the user's mobile device (Spec. ,r,r 57 ("such logic may 6 Appeal2017-003599 Application 14/310,424 execute on a commercially available processing platform"), 60 ("Processor device 704 may be ... a general purpose processor device")). The claims here "fit into the familiar class of claims that do not 'focus ... on [ ] an improvement in computers as tools, but on certain independently abstract ideas that use computers as tools'" (SAP, 890 F.3d at 1022 (citing Elec. Power, 830 F.3d at 1354)). Second Step Because the claims are directed to an abstract idea, we next consider whether the additional elements recited by the claims transform the claims into a patent-eligible application of the claimed subject matter. We agree with the Examiner that the claims do not (Final Act. 5). Appellant argues that "[t]he record does not suggest that the various functional features of Claim 1 or Claim 11 be implemented on a generic, unspecified computer, as a generic computer is not capable of performing the functional features recited in the claims" (App. Br. 16 ( emphasis omitted)). However, neither the claims nor the Specification support that assertion. As discussed supra, the Specification teaches (Spec. ,r,r 57, 60) the abstract idea is implemented using already available computers, with their already available functions. Further, the "claims at issue do not require any nonconventional computer" components or functions and instead "merely call for performance of the claimed information collection [ and] analysis ... 'on a set of generic computer components"' (Elec. Power, 830 F.3d at 1355 (citing Bascom Glob. Internet Servs., Inc. v. AT&T Mobility LLC, 827 F.3d 1341, 1350 (Fed. Cir. 2016))). In particular, the claims recite databases and servers with processors that perform their routine functions, 7 Appeal2017-003599 Application 14/310,424 i.e., databases to store data and processors to process data. And our reviewing "court has ruled many times that 'such invocations of computers and networks that are not even arguably inventive are insufficient to pass the test of an inventive concept in the application of an abstract idea" (SAP, 890 F.3d at 1023 (citing Elec. Power, 830 F.3d at 1355)). Additionally, Appellant's argument that "the present claims do not pre-empt all manners in which spend profiles are assigned to mobile devices" (App. Br. 12 (emphasis omitted); Reply Br. 4) does not persuade us that the claims are directed to patent-eligible subject matter. Although preemption is characterized as a driving concern for patent eligibility, preemption itself is not the test for patent eligibility. Rather, "[ w ]hile preemption may signal patent ineligible subject matter, the absence of complete preemption does not demonstrate patent eligibility" (Ariosa Diagnostics, Inc. v. Sequenom, 788 F.3d 1371, 1379 (Fed. Cir. 2015)). Where claims are deemed to recite only patent-ineligible subject matter under the two-step Alice analysis, as they are here, "preemption concerns are fully addressed and made moot" (id.). Accordingly, Appellant has not persuaded us independent claims 1 and 11 are directed to patent-eligible subject matter. Further, Appellant has not proffered sufficient evidence or argument to persuade us that any of the limitations in the dependent claims provide a meaningful limitation that transforms the claims into a patent eligible application. Therefore, we sustain the rejection of claims 1-20 under 35 U.S.C. § 101 as not being directed to patent-eligible subject matter. 8 Appeal2017-003599 Application 14/310,424 ISSUE 2 35 U.S.C. § 103(a): Claims l, 3, 5, 7, 11, 13, 15, and 17 Appellant contends the invention as recited in claims 1 and 11 is patentable over Blackhurst and Falkenborg (App. Br. 19-25). The issues presented by the arguments are: Issue 2a: Has the Examiner shown Blackhurst teaches each of: at least one spend profile includ[ing] a plurality of transaction data entries, each transaction data entry including ... transaction data ... and timing information indicative of a time at which the transaction occurred ... [and] a plurality of location data entries, wherein each location data entry (i) includes data related to a mobile communication device that is not associated with transaction data included in any spend profile of the at least one spend profile stored in the profile database and (ii) includes at least a geographic location of the mobile communication device and a time and/or date at which the corresponding geographic location of the mobile communication device was identified, as recited in claim 1 and similarly recited in claim 11? Issue 2b: Has the Examiner shown Falkenborg teaches identifying ... a specific spend profile ... by matching location data entries of the mobile communication device . . . to transaction data entries included in the specific spend profile based on (i) a comparison between the geographic location and time and/or date included in respective location data entries ... and the location identifier and timing information included in respective transaction data entries, and (ii) a predetermined tolerance level, as recited in claim 1 and similarly recited in claim 11? Issue 2c: Has the Examiner shown the combination of Blackhurst and Falkenborg teaches "storing ... the mobile communication device in 9 Appeal2017-003599 Application 14/310,424 association with the identified specific spend profile," as recited in claim 1 and similarly recited in claim 11? ANALYSIS Issue 2a Appellant argues "[i]n the present claims, a mobile communication device, from which location data entries are received, is not initially associated with any transaction data," but "[i]n Blackhurst, the consumer's mobile phone is linked [to] his/her financial accounts" (App. Br. 21; Reply Br. 7-8). Appellant further argues Blackhurst does not teach "a plurality of transaction data entries, where each of the transaction data entries include a location identifier and transaction data along with timing information" (Reply Br. 6- 7). We are not persuaded. The Examiner relies on two non-mutually exclusive embodiments in Blackhurst to describe "two separate sources" of data, i.e., 1) spend profile data including transaction data entries and 2) location data from a user's mobile device (Ans. 8-9; see Blackhurst claims 1-5). We agree with the Examiner's finding that the first "embodiment in paragraph [0006]" of Blackhurst (Ans. 9), disclosing "a financial institution based merchant offer program that works in connection with the customer's financial accounts" (Blackhurst ,r 6), teaches "at least one spend profile." We also agree with the Examiner's finding that that the second "embodiment in paragraph [0007]" of Blackhurst (Ans. 9), disclosing a "merchant offer program identif[ying] the position of the customer through location determining devices ... in the mobile device" (Blackhurst ,r 7), teaches "a plurality of location data entries." 10 Appeal2017-003599 Application 14/310,424 Appellant's argument that "[i]n Blackhurst, the consumer's mobile phone is linked [to] his/her financial accounts" but "[i]n the present claims, a mobile communication device, from which location data entries are received, is not initially associated with any transaction data" (App. Br. 21; Reply Br. 7-8) is not commensurate with the scope of the claim. The claims recite the mobile device's "location data entry ... is not associated with transaction data included in any spend profile of the at least one spend profile stored in the profile database" ( emphasis added). Thus, the claims only preclude location data entries from being associated with a particular set of transaction data, namely, the transaction data specific to the spend profile stored in the profile database. As the Examiner points out, Blackhurst describes multiple sources of generated data, i.e., embodiments, which are not associated with each other (Ans. 8-9 (citing Blackhurst ,r,r 6-7)). Indeed, Blackhurst describes that each customer has his or her "own merchant offer program account in the merchant offer program application" (Blackhurst ,r 83, claim 7), and, as such, Blackhurst generates distinct sets of customer data that are not associated with each other. For example, in accordance with one of Blackhurst's embodiments (Blackhurst ,r 6), a first customer generates "transaction data entries" for the first customer's account ( spend profile) and, in accordance with a second embodiment of Blackhurst, (Blackhurst ,r 7), a second customer generates "location data entries" for the second customer's account. The second customer's data entries, i.e., "location data entries," are "not associated with transaction data" entries stored in the first customer's spend profile because each respective customer generates, separately, the customer's own respective data. 11 Appeal2017-003599 Application 14/310,424 Further, we disagree with Appellant's argument that Blackhurst does not teach "a plurality of transaction data entries, where each of the transaction data entries include a location identifier and transaction data along with timing information" (Reply Br. 6-7). The Examiner relies on (Ans. 5; Final Act. 6) Blackhurst's "financial institution[] merchant offer program system 3" which "stores or receives customer profile data and data related to offline and online transactions from the account management applications 30" (Blackhurst ,r,r 39--40) to teach a "spend profile includ[ing] a plurality of transaction data entries." As the Examiner points out (Ans. 6), the merchant offer program system includes, "customer transaction history information," i.e., transaction data entries for each transaction, that "include[s] the purchases the customer 6 has made at various stores," i.e., location identifiers, "the costs of the purchases," i.e., transaction data, and "time of year and day they were made," i.e., timing information (Blackhurst ,r 85). Issue 2b Appellant contends the Examiner erred in finding Falkenborg teaches identifying ... a specific spend profile ... by matching location data entries of the mobile communication device . . . to transaction data entries included in the specific spend profile based on (i) a comparison between the geographic location and time and/or date included in respective location data entries ... and the location identifier and timing information included in respective transaction data entries, and (ii) a predetermined tolerance level, as recited in claim 1 and similarly recited in claim 11 (App. Br. 22-23; Reply Br. 8). Specifically, Appellant argues "Falkenborg compares user data with transaction profiles, [but] this information is not specifically 12 Appeal2017-003599 Application 14/310,424 compared to location and time information of transaction data entries stored in a profile database" (App. Br. 22-23 (emphasis omitted)). We disagree with Appellant's argument. Instead, we agree with the Examiner's finding that F alkenborg' s profile matching feature teaches the disputed limitation (Ans. 9-11; Final Act. 7). In particular, the Examiner relies on (Ans. 10) Falkenborg's description of a "select[ion of] a user specific profile ( 13 1) from the set of transaction profiles ( 12 7) ... based on matching the characteristics of the transaction profiles (127) and the characteristics of the user data (125)" (Falkenborg ,r 73). Those matched profile and user data characteristics include a "geographical location" and the "time of day" (Falkenborg ,r 78). For example, Falkenborg describes that transaction profiles are generated from transaction records that include "information about the particular transaction, such as ... the date (303) (and/or time) of the transaction ... [and] the ID (305) of the merchant who receives the payment" (Falkenborg ,r,r 367-368, 370). That is, Falkenborg describes matching user data to a user specific profile based on comparing "characteristics" that include location and time/date information, as required by the claims. Additionally, Appellant's argument that "the threshold described by ... Falkenborg is a measurement of the number of the frequency of sales" rather than "a predetermined tolerance between the values contained in the location data entries of the mobile communications device[] and the information in the transaction data entries included in the spend profile" (Reply Br. 8) does not persuade us of Examiner error. The Examiner highlights (Ans. 11; Final Act. 7) that the profile matching described by Falkenborg "may match different profiles at a different granularity or 13 Appeal2017-003599 Application 14/310,424 resolution ... with different degrees of certainty" (Falkenborg ,r 78). The profile selector (129) and/or the profile generator (121) may determine or select the user specific profile ( 131) with the finest granularity or resolution with acceptable certainty" (Falkenborg ,r 79), i.e., a predetermined tolerance level as claimed. Appellant's argument that the frequency of sales does not teach a "predetermined tolerance level" (Reply Br. 8) does not address Falkenborg's matching based on "a different granularity or resolution ... with different degrees of certainty" (Falkenborg ,r 78). Issue 2c Appellant contends the Examiner erred in finding Blackhurst teaches "storing ... the mobile communication device in association with the identified specific spend profile," as recited in claim 1 and similarly recited in claim 11 (App. Br. 23-25). Specifically, Appellant argues "according to the present claims, because the processing server utilizes location and time information (for matching purposes), a mobile phone need not transmit transaction data ( or other PII to the processing server) in order to be assigned to a specific spend profile" (id. at 25). We are not persuaded. As discussed supra, we agree with the Examiner's finding that Falkenborg teaches "matching location data entries of the mobile communication device ... to transaction data entries included in the specific spend profile" (Ans. 11). We further agree with the Examiner that Blackhurst describes the storage of spend profiles (Final Act. 7-8). For example, Blackhurst discloses "a datastore 19 for storing data related to the financial institution's merchant offer program system 3" and further discloses that "the merchant offer program application 10 stores or receives 14 Appeal2017-003599 Application 14/310,424 customer profile data and data related to offline and online transactions" (Blackhurst ,r,r 39--40). Appellant's argument that "a mobile phone need not transmit transaction data ... in order to be assigned to a specific spend profile" (App. Br. 25) is not commensurate with the scope of the claims. The claims do not recite language which precludes the transmission of transaction data by the mobile device for the assignment of a spend profile. Therefore, even if transaction data are transmitted by a mobile device, the claims do not limit the mobile device from doing so. Moreover, that argument merely proffers an unduly narrow construction of the claims without addressing the Examiner's combination of Blackhurst and Falkenborg. In particular, that argument does not explain why the Examiner's finding that the combination of Blackhurst, teaching storing spend profiles, and Falkenborg, teaching identifying a specific spend profile, fails to teach "storing ... the mobile communication device in association with the identified specific spend profile" (Final Act. 7-8). Furthermore, Appellant's argument that "Blackhurst cannot be cited to store a specific spend profile" (Ans. 24) inappropriately attacks Blackhurst individually when the rejection is based on the previously described combination Blackhurst and Falkenborg (In re Keller, 642 F.2d 413,426 (CCPA 1981) (citation omitted)). Accordingly, we are not persuaded the Examiner fails to show the combination of Blackhurst and Falkenborg teaches or suggests the limitations as recited in claim 1 and claim 11. Therefore, we sustain the rejection of claims 1 and 11 under 35 U.S.C. § 103(a) as being unpatentable over Blackhurst and Falkenborg. It follows, we also sustain the Examiner's rejection of claims 3, 5, 7, 13, 15, and 17 under 35 U.S.C. § 103(a) as being 15 Appeal2017-003599 Application 14/310,424 unpatentable over Blackhurst and Falkenborg, for which Appellant offers no additional persuasive arguments for patentability (see App. Br. 19-32). ISSUE 3 35 U.S.C. § 103(a): Claims 2, 4, 6, 12, 14, and 16 Appellant contends the invention as recited in claims 2, 4, 6, 12, 14, and 16 is patentable over Blackhurst and Falkenborg (App. Br. 26-29). The issue presented by the argument is: Issue 3: Has the Examiner shown the combination of Blackhurst and Falkenborg teaches "identifying, by the processing device, at least one content item associated with the specific spend profile; and transmitting, by a transmitting device of the processing server, the at least one content item to the mobile communication device," as recited in claim 2 and similarly recited in claim 12? ANALYSIS Appellant contends the Examiner erred in finding Blackhurst teaches "identifying, by the processing device, at least one content item associated with the specific spend profile; and transmitting, by a transmitting device of the processing server, the at least one content item to the mobile communication device," as recited in claim 2 and similarly recited in claim 12 (App. Br. 26-27; Reply Br. 9-10). Specifically, Appellant argues "Blackhurst is not concerned with privacy of a user because it discloses that the consumer's mobile phone is linked [to] his/her financial accounts which is what is used to determine the offers to make to a particular user" (App. Br. 26). 16 Appeal2017-003599 Application 14/310,424 We are not persuaded. As discussed supra, the claims do not preclude mobile device data from being associated with transaction data. Moreover, Appellant's argument discussing the manner in which Blackhurst presents offers, i.e., content, does not address the Examiner's combination of Blackhurst and Falkenborg. The Examiner's combination (Final Act. 9) relies on Falkenborg's description of presenting offers based on a matched profile (Falkenborg ,r 80 ("advertisement selector (133)" uses the selected "the user specific profile (131) to provide benefits or offers to a user")). As such, we are not persuaded the Examiner erred in finding the combination of Blackhurst and Falkenborg identifies and transmits "at least one content item associated with the specific spend profile," as recited in claims 2 and 12. Additionally, Appellant's contentions that the Examiner erred in rejecting claims 4, 6, 14, and 16 are similar to arguments presented supra (App. Br. 27-29) and are similarly unpersuasive. In particular, Appellant argues "Blackhurst does not match location data entries of the mobile communication device, to transaction data entries included in the specific spend profile and then identify at least one content item to transmit to the mobile communication device" (id. at 28). But, as discussed supra, that argument does not address the Examiner's rejection over the combination of Blackhurst and Falkenborg. Furthermore, Appellant's argument that Blackhurst "teaches away from protecting privacy concerns for a consumer[]" (id. at 28) is premised on Appellant's improperly narrow interpretation of the claim, as discussed supra. Even further, that argument is not persuasive because Appellant has not identified where Blackhurst "criticize[ s ], discredit[ s ], or otherwise discourage[ s] the solution" (In re Fulton, 391 F.3d 1195, 1201 (Fed. Cir. 2004)). 17 Appeal2017-003599 Application 14/310,424 Accordingly, we are not persuaded the Examiner fails to show the combination of Blackhurst and Falkenborg teaches or suggests the limitations as recited in claims 2, 4, 6, 12, 14, and 16. Therefore, we sustain the rejection 2, 4, 6, 12, 14, and 16 under 35 U.S.C. § 103(a) as being unpatentable over Blackhurst and Falkenborg. ISSUE 4 35 U.S.C. § 103(a): Claims 8-10 and 18-20 Appellant contends the invention as recited in claims 8-10 and 18-20 is patentable over Blackhurst and Falkenborg (App. Br. 29-32). The issue presented by the arguments is: Issue 4: Has the Examiner shown Blackhurst teaches "identifying ... a plurality of payment data entry subsets, wherein each payment data entry subset includes each payment data entry of the plurality of payment data entries including a common consumer identifier," as recited in claim 8 and similarly recited in claim 18? ANALYSIS Appellant contends the Examiner erred in finding Blackhurst teaches "identifying ... a plurality of payment data entry subsets, wherein each payment data entry subset includes each payment data entry of the plurality of payment data entries including a common consumer identifier," as recited in claim 8 and similarly recited in claim 18 (App. Br. 29-30). Specifically, Appellant argues "Blackhurst does not ever need to identify any plurality of payment data entry subsets where each payment data entry of the plurality of payment data entries includes a common consumer identifier" (id. at 29). 18 Appeal2017-003599 Application 14/310,424 We are not persuaded. Appellant argues that Blackhurst "does not ever need" to perform the recited limitation (id.). But, whether or not Blackhurst "need[s]" to perform the limitation does not address the Examiner's determination that Blackhurst does perform the limitation (Final Act. 14--15). The Examiner relies on (id.) Blackhurst's "merchant offer program application," which is provided to a customer, to analyze "information related to the customer's ... customer transaction history [ and] customer profile" (Blackhurst ,r 7). That customer profile identifies "what accounts the customer 6 has at the financial institution ( checking, savings, equity line, etc.)" (Blackhurst ,r 47), i.e., "payment data entry subsets" which "include a common consumer identifier." Further, Appellant repeats the argument that Blackhurst "teaches away from protecting privacy concerns for a consumers" (App. Br. 30). We are not persuaded for the reasons discussed supra. Additionally, Appellant's contention that the Examiner erred in rejecting claims 9, 10, 19, and 20 are based on arguments that we did not find persuasive supra (App. Br. 30-31 ). In particular, Appellant similarly argues "Blackhurst does not identify common transaction data included in the plurality of payment data entries included in each subset because Blackhurst tracks a consumer via enrollment in its merchant program" (id. at 31 ). However, as discussed supra, the claims do not preclude tracking a consumer via enrollment in a merchant program, i.e., associating a user's mobile device location data with the user's own transaction data. Furthermore, Appellant again repeats the argument that Blackhurst "teaches away from protecting privacy concerns for a consumers" (App. Br. 31 ). As discussed supra, we are not persuaded by that argument. 19 Appeal2017-003599 Application 14/310,424 Accordingly, we are not persuaded the Examiner fails to show the combination of Blackhurst and Falkenborg teaches or suggests the limitations as recited in claims 8-10 and 18-20. Therefore, we sustain the rejection of claims 8-10 and 18-20 under 35 U.S.C. § 103(a) as being unpatentable over Blackhurst and Falkenborg. DECISION The Examiner's rejection of claims 1-20 under 35 U.S.C. § 101 as being directed to patent-ineligible subject matter is affirmed. The Examiner's rejection of claims 1-20 under 35 U.S.C. § 103(a) as being unpatentable over Blackhurst and Falkenborg is affirmed. No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a). See 37 C.F.R. § 41.50(±). AFFIRMED 20 Copy with citationCopy as parenthetical citation