DCT

2:23-cv-00633

Linfo IP LLC v. Children's Place Retail Stores Inc

Key Events
Complaint
complaint

I. Executive Summary and Procedural Information

  • Parties & Counsel:
  • Case Identification: 2:23-cv-00633, E.D. Tex., 12/29/2023
  • Venue Allegations: Venue is asserted based on Defendant having a "regular and established place of business" in the district and committing alleged acts of infringement there.
  • Core Dispute: Plaintiff alleges that Defendant’s e-commerce platform infringes a patent related to systems and user interfaces for discovering, filtering, and presenting information within text content, such as user reviews.
  • Technical Context: The technology addresses information overload by providing tools for natural language processing and user interface design to help users navigate and analyze large volumes of text, a common challenge for websites that aggregate user-generated content.
  • Key Procedural History: The complaint states that Plaintiff is a non-practicing entity. It alleges willful infringement based on Defendant's knowledge of the patent as of the complaint's filing date, while reserving the right to prove earlier knowledge. No other significant procedural history is mentioned.

Case Timeline

Date Event
2011-12-09 '428 Patent Priority Date
2015-07-28 '428 Patent Issue Date
2023-12-29 Complaint Filing Date

II. Technology and Patent(s)-in-Suit Analysis

U.S. Patent No. 9,092,428 - "System, methods and user interface for discovering and presenting information in text content"

  • Patent Identification: U.S. Patent No. 9,092,428, titled "System, methods and user interface for discovering and presenting information in text content," issued July 28, 2015.

The Invention Explained

  • Problem Addressed: The patent addresses the problem of "information overload," where users struggle to find specific, relevant information within large bodies of unstructured text, such as numerous online hotel or product reviews ('428 Patent, col. 1:12-24).
  • The Patented Solution: The invention is a computer-assisted method and system that analyzes text to identify various attributes of words or phrases (e.g., topical, semantic, contextual). It then provides a user interface that allows a user to select a specific attribute (e.g., "positive opinion") and an action (e.g., "highlight" or "extract"), enabling the system to filter and present the relevant text segments in a more digestible format ('428 Patent, Abstract; col. 3:1-15). The system architecture involves components like a linguistic analysis module and a user interface with distinct attribute and action selectors ('428 Patent, Fig. 1).
  • Technical Importance: This approach sought to provide more granular, user-driven control over information discovery than was possible with conventional keyword searching, a key development for platforms managing large volumes of user-generated content ('428 Patent, col. 1:48-64).

Key Claims at a Glance

  • The complaint asserts claims 1-20, with independent claims 1 (method) and 14 (system) being foundational.
  • Independent Claim 1 (method) requires:
    • Obtaining a text content.
    • Selecting a first and second semantic attribute for a user to select from.
    • Identifying words or phrases in the text associated with those attributes.
    • Displaying an actionable user interface object.
    • Allowing a user to select one of the attributes.
    • Performing an action (e.g., extracting, displaying, hiding, highlighting) on the words or phrases associated with the user-selected attribute.
  • The complaint reserves the right to assert all dependent claims ('Compl. ¶8).

III. The Accused Instrumentality

Product Identification

The complaint accuses a "system with methods and user interface for discovering information in a text content and extracting and presenting the information" that Defendant "maintains, operates, and administers" (Compl. ¶8). While not explicitly named, this appears to refer to the website and/or e-commerce platform of The Children's Place.

Functionality and Market Context

The complaint alleges the accused system provides "interface objects to act on the discovered information, such as extracting, displaying or hiding, or highlighting or un-highlighting words or phrases in a text content" (Compl. ¶7). This suggests that features on Defendant’s platform for sorting, filtering, or interacting with product reviews or similar text content are at issue. The complaint does not provide further detail on the technical operation or market position of the accused system.

No probative visual evidence provided in complaint.

IV. Analysis of Infringement Allegations

The complaint's substantive infringement allegations are contained in a "preliminary exemplary table attached as Exhibit B" (Compl. ¶9). As this exhibit was not included with the publicly filed complaint, a detailed element-by-element analysis is not possible.

The complaint’s narrative theory of infringement is that Defendant directly infringes by operating a system that embodies the patented inventions (Compl. ¶8). The system allegedly discovers and presents information from text content, thereby "put[ting] the inventions claimed by the '428 Patent into service" (Compl. ¶8). This suggests that functionalities on Defendant's e-commerce platform, such as those allowing customers to filter or sort product reviews, are the basis for the infringement claim.

  • Identified Points of Contention:
    • Technical Questions: A primary question will be what specific features of Defendant’s system allegedly perform the claimed steps. For instance, what functionality constitutes the system "selecting a first semantic attribute and a second semantic attribute for users to select from" as required by claim 1? Does a simple star-rating filter (e.g., 5 stars vs. 1 star) qualify as the selection and presentation of two distinct "semantic attributes" in the context of the patent?
    • Scope Questions: The case may turn on how broadly the patent’s claim terms are construed. The patent’s specification describes "opinion" and sentiment analysis in detail ('428 Patent, col. 9:1-28), raising the question of whether the claims are limited to this type of linguistic analysis or if they can cover more common e-commerce features like filtering by predefined tags or numerical ratings.

V. Key Claim Terms for Construction

"semantic attribute"

  • Context and Importance: This term is central to the invention's scope. The dispute will likely focus on whether the filtering and sorting options on Defendant's website (e.g., by star rating, topic tag, or "most helpful") qualify as "semantic attributes." Practitioners may focus on this term because its construction will determine if the patent covers common e-commerce functionalities or is limited to more sophisticated linguistic analysis.
  • Intrinsic Evidence for Interpretation:
    • Evidence for a Broader Interpretation: The specification states that "Meanings of a word or a phrase can also be named as 'connotation' or 'semantic attributes'" and provides examples beyond sentiment, such as "drug" being a semantic attribute of the term "aspirin" ('428 Patent, col. 8:19-28). This could support a reading that covers any classification based on meaning or topic.
    • Evidence for a Narrower Interpretation: The specification's examples and figures are heavily focused on "opinion" (positive, negative, neutral) as the primary embodiment ('428 Patent, Fig. 7, 9A, 9B, 11). Claim 3 recites "the semantic category of sentiment or opinion," which a party could argue contextualizes the broader term in claim 1 as being primarily directed toward sentiment analysis.

"selecting a first semantic attribute and a second semantic attribute for users to select from"

  • Context and Importance: This step appears to be performed by the system prior to user interaction. Its construction is critical because it addresses whether the system must intelligently identify a pair of related attributes (e.g., positive vs. negative) or if merely offering any two filter options meets the limitation.
  • Intrinsic Evidence for Interpretation:
    • Evidence for a Broader Interpretation: The plain language of claim 1 does not require the two attributes to be related or contrasting. An argument could be made that any system that prepares and offers two distinct filterable attributes for a user to choose between meets this limitation.
    • Evidence for a Narrower Interpretation: Dependent claim 3 clarifies that the attributes can be "in contrast," such as "a positive opinion versus a negative option" ('428 Patent, col. 16:26-32). The specification's user interface examples consistently show contrasting pairs, such as options to "Extract positive opinions" and "Extract negative opinions" ('428 Patent, Fig. 7). This may support an interpretation that the "selecting" step implies the system identifies a meaningful, often opposing, pair of attributes.

VI. Other Allegations

  • Indirect Infringement: The complaint alleges inducement based on Defendant actively encouraging and instructing customers on how to use the allegedly infringing system and services (Compl. ¶10). It also makes a parallel allegation of contributory infringement (Compl. ¶11).
  • Willful Infringement: Willfulness is alleged based on Defendant’s knowledge of the '428 Patent "from at least the filing date of the lawsuit" (Compl. ¶10-11). This establishes a claim for post-suit willfulness, with Plaintiff explicitly reserving the right to amend if pre-suit knowledge is found in discovery (Compl. p. 4, fn. 1).

VII. Analyst’s Conclusion: Key Questions for the Case

  • A core issue will be one of definitional scope: can the term "semantic attribute", which the patent heavily exemplifies with linguistic sentiment analysis (e.g., positive vs. negative opinion), be construed to cover the more general filtering and sorting functionalities (e.g., by star rating or topic tag) common to e-commerce websites?
  • A key evidentiary question will be one of functional mapping: given the complaint's high-level allegations, discovery will need to establish whether specific functionalities in the accused platform perform the complete, multi-step method of Claim 1, particularly the system-side action of "selecting a first... and a second semantic attribute for users to select from" before presenting them as interactive options.