Xerox Corp. v. X Corp.

Court of Appeals for the Federal Circuit·Decided June 17, 2025·No. 23-1913·Unpublished

Opinion

Case: 23-1913 Document: 47 Page: 1 Filed: 06/17/2025

NOTE: This disposition is nonprecedential.

United States Court of Appeals for the Federal Circuit ______________________

XEROX CORP., Appellant

v.

X CORP., Appellee ______________________

2023-1913 ______________________

Appeal from the United States Patent and Trademark Office, Patent Trial and Appeal Board in No. IPR2021- 01398. ______________________

Decided: June 17, 2025 ______________________

KYLE N. RYMAN, McKool Smith, P.C., Austin, TX, ar- gued for appellant. Also represented by JAMES ELROY QUIGLEY; KEVIN L. BURGESS, Marshall, TX; ALEXANDRA FIGARI EASLEY, DAVID SOCHIA, Dallas, TX.

DEBRA JANECE MCCOMAS, Haynes and Boone, LLP, Dallas, TX, argued for appellee. Also represented by DAVID L. MCCOMBS; ADAM LLOYD ERICKSON, ANGELA M. OLIVER, Washington, DC. ______________________ Case: 23-1913 Document: 47 Page: 2 Filed: 06/17/2025

Before STOLL, CLEVENGER, and CUNNINGHAM, Circuit Judges. STOLL, Circuit Judge. Xerox Corp. (“Xerox”) appeals the final written decision of the Patent Trial and Appeal Board holding claims 1–18 of U.S. Patent No. 7,043,475 unpatentable under 35 U.S.C. § 103. On appeal, Xerox challenges the Board’s construc- tion of the claim term “determining proximal information,” the Board’s findings related to motivation to combine and reasonable expectation of success, and the Board’s analysis of Xerox’s alleged objective evidence of nonobviousness. For the following reasons, we affirm. BACKGROUND I The ’475 patent is titled “Systems and Methods for Clustering User Sessions Using Multi-Modal Information Including Proximal Cue Information” and “relates to sys- tems and methods for navigating through and searching for sites on a distributed network.” U.S. Patent No. 7,043,475 Title, col. 1 ll. 17–19. At a high level, the in- vention relates to “creating user profiles for users who visit web pages and classifying such users.” J.A. 3. In various exemplary embodiments, (1) a plurality of user paths are selected in a collection of content portions (e.g., web pages containing links); (2) for each path, the multi-modal information for content portions associated with the user path is determined; (3) the proximal infor- mation for content portions associated with the user path is determined; (4) the multi-modal information for content portions and the proximal information for content portions associated with the user path are combined to form a user profile; and (5) the multi-modal information and proximal information of user profiles are clustered based on similar- ity. ’475 patent col. 1 l. 61–col. 2 l. 6. Step 3 is relevant on appeal. Case: 23-1913 Document: 47 Page: 3 Filed: 06/17/2025

XEROX CORP. v. X CORP. 3

The specification discloses that weighted vectors can be used to represent multi-modal information and proximal information. ’475 patent col. 2 ll. 16–21. The “proximal cue feature vector,” the “content feature vector,” the “URL feature vector,” the “inlink feature vector,” the “outlink fea- ture vector,” 1 and the “information need feature vector” for each document or web page on the user path are combined, and the combined “multi-modal vector” represents a user profile. ’475 patent col. 6 ll. 4–11. The Board explained that independent claim 10 is il- lustrative and thus focused its analysis on that claim’s lim- itations. Claim 10 recites the following: 10. A computer system to cluster user sessions us- ing multi-modal information and proximal infor- mation, comprising: [10.1] a user path determining circuit that selects a plurality of user paths in a collection of content portions; [10.2] a multi-modal information determining cir- cuit that determines multi-modal information for content portions associated with the user path; [10.3] a proximal information determining circuit that determines proximal information for content portions associated with the user path; [10.4] a similarity determining circuit that com- bines the multimodal information for content por- tions and the proximal information for content

1 “[A] link that sends the user to another content por- tion [e.g., web page] is defined as an ‘outlink’ and a link that brings the user to the content portion [e.g., web page] is defined as an ‘inlink.’” ’475 patent col. 3 ll. 36–39. Case: 23-1913 Document: 47 Page: 4 Filed: 06/17/2025

portions associated with the user path to form a user profile having a unified representation; and [10.5] a cluster and similarity measure determin- ing circuit that clusters multi-modal information and proximal information of user profiles based on similarity. ’475 patent col. 16 ll. 5–23 (emphasis added). Limita- tion 10.3, which involves “determin[ing] proximal infor- mation,” is relevant on appeal. II The Board’s decision involves five prior art references, though not all five are relevant on appeal. We thus de- scribe only the two prior art references necessary to ad- dress Xerox’s challenges. Chen2 Chen discloses “[a] system and method for browsing, retrieving, and recommending information from a collec- tion [that] uses multi-modal features of the documents in the collection, as well as an analysis of users’ prior brows- ing and retrieval behavior.” J.A. 1584. “Multi-modal fea- tures may take on many forms, such as user information, text genre, or analysis of images.” J.A. 1587 ¶ 27. Chen’s disclosure involves (1) “methods for quantitatively repre- senting documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determin- ing similarity between documents, and clustering docu- ments according to those similarities”; and (2) “methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clus- tering users according to those similarities, and visually

2 European Patent App. No. 1 024 437 A2. Case: 23-1913 Document: 47 Page: 5 Filed: 06/17/2025

XEROX CORP. v. X CORP. 5

representing clusters of users by analogy to clusters of doc- uments.” J.A. 1584. “[E]ach document (for example, an HTML document []) chosen from a collection [] maps to a set of feature vec- tors [], one for each modality (for example, a text vector [] and a URL vector []).” J.A. 1589 ¶ 37. Chen discloses nu- merous possible document features: “text content, docu- ment link, inlinks, outlinks, text genre, image color histogram, and image complexity. The first two of the listed features are text based, inlinks and outlinks are hy- perlink based, text genre is probability based, and the final two features (image color histogram and image complexity) are image-based.” J.A. 1589 ¶ 41. Chen explains that “[a]fter the contents of a new docu- ment (which can be a text document, image, or other type of information) are isolated [], the disclosed method uses various information sources to derive the feature vectors.” J.A. 1589 ¶ 42. “Text is extracted from the document [] and used to create a corresponding text vector [] and a corre- sponding URL vector [].” Id. “The text feature is a term vector, where the elements of the vector represent terms used in the document itself. . . . [F]or an all-text or HTML document (or other document type actually containing text), the text vector is based on the document’s entire text content.” J.A. 1590 ¶ 51. Chen discloses that “[a] set of distinct features (possi- bly from different modalities) is precomputed for each doc- ument and stored as vectors.” J.A. 1598 ¶ 101. “The text features include the words of text surrounding and associ- ated with each image, the URL of the image, . . . [and] hy- perlink text . . . The documents are clustered into groups based on each of the features.” Id.

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