Ex Parte Abuelsaad et alDownload PDFPatent Trials and Appeals BoardJun 19, 201915044874 - (D) (P.T.A.B. Jun. 19, 2019) Copy Citation UNITED STA TES p A TENT AND TRADEMARK OFFICE APPLICATION NO. FILING DATE FIRST NAMED INVENTOR 15/044,874 02/16/2016 Kelly Abuelsaad 59144 7590 06/20/2019 CAHN & SAMUELS, LLP 1100 17th STREET, NW SUITE401 WASHINGTON, DC 20036 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. YOR920110606US2 3077 EXAMINER SHIN, KYUNG H ART UNIT PAPER NUMBER 2443 MAIL DATE DELIVERY MODE 06/20/2019 PAPER 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. PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte KELLY ABUELSAAD, SHANE B. McELLIGOTT, HIEN Q. NGUYEN, and SUSAN M. ROMERO Appeal2018-001773 Application 15/044,8741 Technology Center 2400 Before JOSEPH L. DIXON, JOHN P. PINKERTON, and NORMAN H. BEAMER, Administrative Patent Judges. PINKERTON, Administrative Patent Judge DECISION ON APPEAL Appellants appeal under 35 U.S.C. § 134(a) from the Examiner's 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 Appellants identify International Business Machines Corporation as the real party in interest. App. Br. 3. Appeal2018-001773 Application 15/044,874 STATEMENT OF THE CASE Introduction Appellants' disclosed and claimed invention is generally directed to managing computing resources using a data analysis module that predicts demand for the computing resources based on internet user activity. Spec. ,-i 4_2 Claim 1 is representative and reproduced below (with the disputed limitation emphasized): 1. A method for managing computing resources, said method comprising: predicting demand for the computing resources with a data analysis module based on a number of web pages that include at least one select term a predetermined amount of times; and at least one of increasing resource capacity with a processor when the predicted demand is above a first threshold, and decreasing resource capacity with the processor when the predicted demand is below a second threshold. 2 Our Decision refers to the Final Action mailed Apr. 12, 2017 ("Final Act."); Appellants' Appeal Brief filed Aug. 17, 2017 ("App. Br."), and Reply Brief filed Dec. 7, 2017 ("Reply Br."); the Examiner's Answer mailed Nov. 7, 2017 ("Ans."); and the original Specification filed Feb. 16, 2016 ("Spec."). 2 Appeal2018-001773 Application 15/044,874 Rejections on Appeal Claims 1-20 are rejected under the judicially created doctrine of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-19 of U.S. Patent No. 9,280,394.3 Final Act. 2-4. Claims 1-20 stand rejected under 35 U.S.C. § 103(a) as being unpatentable over Bubba (US 2009/0119673 Al, published May 7, 2009), and Liberman Ben-Ami et al. (US 2013/0136253 Al, published May 30, 2013) ("Liberman"). Final Act. 4-18. ANALYSIS We have reviewed the Examiner's rejections in light of Appellants' arguments in the Briefs and are not persuaded the Examiner erred. Unless otherwise noted, we adopt as our own the findings and reasons set forth by the Examiner in the Office Action from which this appeal is taken (Final Act. 2-18) and in the Examiner's Answer (Ans. 19-28), and we concur with the conclusions reached by the Examiner. For emphasis, we consider and highlight specific arguments as presented in the Briefs. Rejection of Claims 1-20 under§ 103(a) Appellants argue independent claims 1, 18, and 20 separately, but make substantially the same arguments with respect to each claim. App. Br. 5-10. Regarding claim 1, Appellants argue the proposed combination of Bubba and Liberman fails to teach the claimed feature of "predicting demand for the computing resources with a data analysis module based on a number of web pages that include at least one select term a predetermined 3 Appellants did not respond to this rejection in the Appeal Brief. Accordingly, we summarily sustain this rejection. 3 Appeal2018-001773 Application 15/044,874 amount of times." App. Br. 5-7. In particular, Appellants argue Bubba teaches a system that can anticipate a breach of a service level agreement based on the user reaching a predetermined resource usage threshold and "modify the resource allocation prior to the utilization exceeding the allocated amount of the resource." Id. at 5-6 (citing Bubba ,i 134). Thus, Appellants argue that "Bubba does not predict demand for computing resources based on the number of web pages that include a select term a predetermined amount of times," but instead Bubba predicts demand for computing resources based on the user's usage of the computing resources. Id. at 6 ( emphasis omitted). Appellants also argue that Liberman fails to cure this deficiency. Id. In that regard, Appellants argue that, although the Examiner finds that "Liberman identifies the frequency of keywords during a web interaction," "Liberman fails to teach predicting demand for computing resources based on the frequency of keywords." Id. Appellants further argue that Liberman teaches that data may be extracted from each web interaction and that "extracting content does not predict the demand for computing resources." Id. ( citing Liberman ,i 39) ( emphasis omitted). Moreover, Appellants argue "nothing within Liberman teaches determining the 'number of web pages that include a select term a predetermined amount of times."' Id. Regarding claim 18, Appellants argue that the proposed combination of Bubba and Liberman fails to teach the claimed feature of "predicting demand for the computing resources with a data analysis module based on a number of times that web pages that include at least one select term a predetermined amount of times are viewed." Id. at 7-8. In particular, Appellants argue that, as the Examiner acknowledges, Bubba does not teach 4 Appeal2018-001773 Application 15/044,874 predicting demand "based on a number of times web pages that include at least one select term a predetermined amount of times are viewed." Id. at 7. Appellants also argue that nothing within Liberman, including paragraph 39 cited by the Examiner, teaches the disputed limitation of claim 18. Id. at 7- 8. Appellants further argue that "nothing within Liberman teaches determining the number of times that web pages that include a select term a predetermined amount of times are viewed," but "merely provides a broad teaching of extracting content from the internet based on keywords." Id. at 8. Regarding claim 20, Appellants argue that the proposed combination of Bubba and Liberman fails to teach the claimed feature of first program instructions executable by a device to cause the device predict demand for the computing resources based on at least one of: a number of web pages that include at least one select term a predetermined amount of times, and a number of times the web pages that include the at least one select term a predetermined amount of times are viewed. Id. at 9. Appellants also argue that, as the Examiner acknowledges, Bubba does not teach the disputed limitation of claim 20, and nothing within Liberman, including paragraph 39 cited by the Examiner, teaches the disputed limitation. Id. at 9-10. We are not persuaded by Appellants' arguments that the Examiner erred. First, Appellants' arguments that neither Bubba nor Liberman individually teach the disputed limitations of claims 1, 18, and 20 are not persuasive because the Examiner relies on the combination of Bubba and Liberman as teaching or suggesting these limitations. See Ans. 19-21, 23- 25. Non-obviousness cannot be established by attacking references 5 Appeal2018-001773 Application 15/044,874 individually where the rejection is based upon the teachings of a combination of references. In re Merck & Co., Inc., 800 F.2d 1091, 1097 (Fed. Cir. 1986). The relevant inquiry is whether the claimed subject matter would have been obvious to those of ordinary skill in the art in light of the combined teachings of the references. See In re Keller, 642 F.2d 413,425 ( CCP A 19 81 ). Here, the Examiner finds that Bubb a teaches "predicting demand for computing resources" based on threshold parameters. Ans. 19- 21. Specifically, the Examiner finds that "Bubba discloses the capability to predict when the usage of resources will exceed a threshold parameter (a prediction for demand)." Id. at 19 (citing Bubba ,i,i 9, 64, 134). The Examiner also finds that Liberman teaches tracking and analyzing user interactions over the Internet and implementation of predetermined parameters for tracking web interactions (i.e., analogous to a threshold type parameter). Id. at 20 ( citing Liberman ,i 39). Specifically, the Examiner finds that Liberman teaches tracking and analyzing interactions over the Internet [ web interactions] such as selecting a search term, browsing, or accessing a webpage[,] rules for tracking web interactions such as, amount of time a webpage was viewed, number of times or which different items were selected on a webpage, number of repeated viewings over a time span, presence or frequency of certain keywords in a web page, etc. Id. Thus, contrary to Appellants' arguments, the Examiner finds that the combination of Bubba and Liberman teaches the disputed limitations of the claims: Bubba teaches "predicting demand for computing resources" based on threshold parameters, and Liberman teaches the specific parameters. 6 Appeal2018-001773 Application 15/044,874 Second, we are not persuaded by Appellants' argument that nothing in Liberman teaches determining "the number of web pages that include a select term a predetermined amount of times." App. Br. 6 ( emphasis omitted). The Examiner finds that that Liberman teaches tracking the "frequency of certain keywords in a webpage." Ans. 20 ( citing Liberman ,i 39). The Examiner also finds that "frequency" is defined as "as the number of times an event, value, or characteristic occurs in a given period." Id. at 21 (citing http://www.yourdictionary.com/frequency). Thus, because Liberman teaches tracking select terms (keywords) in webpages over a given period, we determine that Liberman at least suggests "determining the number of web pages that include a select term a predetermined number of times," as recited in claims 1 and 20. Third, we are not persuaded by Appellants' argument that nothing within Liberman teaches "determining the number of times that web pages that include a select term a predetermined amount of times are viewed," as recited in claims 18 and 20. App. Br. 8 ( emphasis omitted). The Examiner finds that Liberman teaches tracking web interactions, "such as selecting a search term, browsing, or accessing a webpage" and "rules for tracking web interactions such as, amount of time a webpage was viewed ... [ and] frequency of certain keywords in a webpage." Ans. 20 ( citing Liberman ,i 39). Thus, the Examiner also finds that Liberman teaches this disputed limitation. We determine that because Liberman teaches tracking accessing web pages and also tracking select terms (keywords) in web pages over a given period, Liberman at least suggests "determining the number of times that web pages that include a select term a predetermined amount of times are viewed," as recited in claims 18 and 20. 7 Appeal2018-001773 Application 15/044,874 In the Final Office Action, the Examiner found that "[ o ]ne of ordinary skill in the art would have been motivated to employ the teachings of Liberman for the benefits achieved from the efficiency and flexibility of a system that extracts information concerning Internet server interactions for traffic usage in resource allocation management within a network environment." Final Act. 6 ( citing Liberman ,i 4). Appellants did not contest or argue this finding in the Appeal Brief. Instead, Appellants argued in the Reply Brief that "[t]here is simply no teaching, suggestion, or reason to combine the method of Liberman ... with the method of Bubba, much less how one of ordinary skill in the art would substitute or modify the allocation of computer resources in an enterprise organization as required by Bubba with the analysis of a user's interactions for generating recommendation to a contact center agent." Reply Br. 2. Because this argument is raised by Appellants for the first time in the Reply Brief not in response to a shift in the Examiner's position or without otherwise showing good cause, it is waived. See 37 C.F.R. § 41.4l(b)(2); see also Ex parte Borden, 93 USPQ2d 1473, 1474 (BPAI 2010) (informative) ("[T]he reply brief [is not] an opportunity to make arguments that could have been made in the principal brief on appeal to rebut the Examiner's rejections, but were not."). Accordingly, we are not persuaded the Examiner erred in (1) finding the combined teachings of Bubba and Liberman teach or suggest the disputed limitations of claims 1, 18, and 20 and (2) concluding that the combination of the teachings and suggestions of these references renders the subject matter of claims 1, 18, and 20 obvious under 35 U.S.C. § 103. Thus, we sustain the Examiner's rejection of claims 1, 18, and 20, and dependent 8 Appeal2018-001773 Application 15/044,874 claims 2-17 and 19, which are not separately substantively argued, under § 103. DECISION We affirm the Examiner's rejection of claims 1-20 under the judicially created doctrine of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-19 of U.S. Patent No. 9,280,394. We affirm the Examiner's rejections of claims 1-204 under 35 U.S.C. § 103. No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § l .136(a)(l )(iv). AFFIRMED 4 Claim 20 is directed to a computer program product comprising "a computer readable storage medium." App. Br. 16 (Claims App.). The claimed "medium" is not expressly limited to non-transitory media, and the term "computer-readable storage medium" is broadly described in the Specification to include examples of volatile and non-volatile memories. See Specification ,-J 28. Should there be further prosecution of this application (including any review for allowance), the Examiner may wish to review claim 20 for compliance under 35 U.S.C. § 101. See Ex parte Mewherter, 107 USPQ2d 1857, 1862 (PTAB 2013); In re Nuijten, 500 F.3d 1346, 1357 (Fed. Cir. 2007); MPEP § 2106(1) (9th ed. 2014); David J. Kappos, "Subject Matter Eligibility of Computer Readable Media," 1351 Off. Gaz. Pat. Office 212 (Feb. 23, 2010). 9 Copy with citationCopy as parenthetical citation