# US 2019/0173831 A1 · Dynamic comment methods and systems > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0173831 A1 - Document ID: US20190173831A1 - Status: Published application - Kind: A1 - Application number: 16/271,717 - Filed: 2019-02-08 - Published: 2019-06-06 - Earliest claimed: 2013-06-28 - Assignees: Bridgepoint Education - Applicants: Bridgepoint Education - Inventors: Michael E. Jones; Andrew McCann; Craig Gambino - Web page: https://patentgrep.com/patent/US20190173831A1 ## CPC - H04L 51/52: for supporting social networking services - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Methods and systems of dynamic comment are provided. A comment library stores comment entries and provides a basis for determining comment selections dynamically. Metadata associated with the comment entries may also be stored in the comment library. A set of comment selections may be determined based on the context in which a user is commenting on the digital content and the user's input. A comment library may be searched for matching instances of the user's input to determine the set of comment selections. ## Claims ### Claim 1 A computer-implemented method of commenting digital content dynamically, comprising: receiving a request to create a comment to a digital content from a user, the request comprising a comment entry entered by the user via a graphical interface of a learning system; determining a context related to the digital content by collecting context information comprising a course, a section, an assignment, an instructor, or a student; determining a subset of comments by searching a comment library based on the comment entry and the context; determining a set of comment selections by applying a searching filter to the determined subset of comments, the set of comment selections comprising individual comment selections; and presenting the set of comment selections to the user within the graphical interface of the learning system. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, further comprising storing the comment entry in a second comment library. ### Claim 3 (depends on 1) The computer-implemented method of claim 1, further comprising storing metadata associated with the comment entry. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, further comprising replacing the user comment entry with a user input corresponding to a comment selection within the set of comment selections presented to the user. ### Claim 5 (depends on 4) The computer-implemented method of claim 4, further comprising providing and adjusting the set of comment searching filters based on the context, wherein the step of searching the library comprises searching the comment library according to the set of comment searching filters. ### Claim 6 (depends on 1) The computer-implemented method of claim 1, wherein the step of determining the set of comment selections comprises searching a keyword or a full text match corresponding to the comment entry within the comment library. ### Claim 7 (depends on 1) The computer-implemented method of claim 1, further comprising determining a second set of comment selections upon determining the comment entry is a predetermined input. ### Claim 8 (depends on 1) The computer-implemented method of claim 1, further comprising monitoring the comment entry entered by the user. ### Claim 9 (depends on 1) The computer-implemented method of claim 1, wherein the digital content is a document received from a second user. ### Claim 10 A computer-implemented method of commenting digital content dynamically, comprising: receiving a request to create a comment to a digital content from a user, the request comprising a comment entry entered by the user via a graphical interface of a learning system; determining a context related to the digital content by collecting context information comprising a course, a section, an assignment, an instructor, or a student; determining a subset of comments by searching a comment library based on the comment entry and the context; determining a set of comment selections by applying a searching filter to the determined subset of comments, the set of comment selections comprising individual comment selections; and presenting the set of comment selections to the user within the graphical interface of the learning system. ### Claim 11 (depends on 10) The computer readable medium of claim 10, further comprising: providing and adjusting the set of comment searching filters based on the context, wherein the step of searching the library comprises searching the comment library according to the set of comment searching filters; replacing the user comment entry with a user input corresponding to a comment selection within the set of comment selections presented to the user; and associating the comment entry corresponding to the comment selection with the digital content and displaying the digital content along with the comment entry. ### Claim 12 (depends on 11) The computer readable medium of claim 11, further comprising storing the comment entry in a second comment library. ### Claim 13 (depends on 11) The computer readable medium of claim 11, further comprising storing metadata associated with the comment entry. ### Claim 14 (depends on 11) The computer readable medium of claim 11, further comprising providing and adjusting the set of comment searching filters based on the context, wherein the step of searching the library comprises searching the comment library according to the set of comment searching filters. ### Claim 15 (depends on 11) The computer readable medium of claim 11, further comprising monitoring the comment entry entered by the user. ### Claim 16 (depends on 11) The computer readable medium of claim 11, further comprising searching a keyword or a full text match corresponding to the comment entry within the comment library when determining the set of comment selections. ### Claim 17 (depends on 16) The computer readable medium of claim 16, further comprising determining a second set of comment selections upon determining the comment entry is a predetermined input. ### Claim 18 (depends on 11) The computer readable medium of claim 11, wherein the digital content is a document received from a second user.