# US 2025/0094779 A1 · Construct scoring system and interface > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0094779 A1 - Document ID: US20250094779A1 - Status: Published application - Kind: A1 - Application number: 18/885,740 - Filed: 2024-09-15 - Published: 2025-03-20 - Earliest claimed: 2023-09-15 - Assignees: Artizan Technologies, Inc - Applicants: Artizan Technologies, Inc - Inventors: Robert LOWINGER; Kartik THAKORE - Web page: https://patentgrep.com/patent/US20250094779A1 ## CPC - G06N 5/022: Knowledge engineering; Knowledge acquisition - G06N 3/042: Knowledge-based neural networks; Logical representations of neural networks - G06N 3/0442: characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] - G06N 3/045: Combinations of networks - G06N 3/0455: Auto-encoder networks; Encoder-decoder networks - G06N 3/08: Learning methods - G06N 3/084: Backpropagation, e.g. using gradient descent - G06N 5/045: Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract A construct scoring system may provide construct scores with user understandable explanations of the factors that influenced the construct score determination. A computer-implemented method may including displaying a score of a particular construct by a particular constructor, wherein the score is determined using a plurality of current popularity indicators of the particular construct and displaying the plurality of current popularity indicators. ## Claims ### Claim 1 A computer-implemented method, including: displaying a score of a particular construct by a particular constructor, wherein the score is determined using a plurality of current popularity indicators of the particular construct; and displaying the plurality of current popularity indicators. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the score is determined by using a weighted combination of the plurality of current popularity indicators. ### Claim 3 (depends on 2) The computer-implemented method of claim 2, further including displaying weights used in the weighted combination. ### Claim 4 (depends on 3) The computer-implemented method of claim 3, further including displaying respective application of the weights to respective current popularity indicators in the plurality of current popularity indicators. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, further including: storing constructor-to-construct mappings that map constructors to corresponding sets of one or more associated constructs; periodically scraping, from one or more information networks, instances of mentions of the constructors or constructs of the corresponding sets of one or more associated constructs on the one or more information networks, and storing the scraped instances of the mentions; and determining the score of the particular construct based on scraped instances of mentions on the one or more information networks of intra-constructor constructs by the particular constructor, wherein the intra-constructor constructs are similar to the particular construct. ### Claim 6 (depends on 5) The computer-implemented method of claim 5, wherein the scraped instances of the mentions of the intra-constructor constructs include text features. ### Claim 7 (depends on 6) The computer-implemented method of claim 6, wherein the scraped instances of the mentions of the intra-constructor constructs include image features. ### Claim 8 (depends on 5) The computer-implemented method of claim 5, further including using natural language processing or image processing engines to process the scraped instances of the mentions of the intra-constructor constructs, and to detect recent crowd sourced scores of the intra-constructor constructs. ### Claim 9 (depends on 8) The computer-implemented method of claim 8, further including determining the score of the particular construct based on the detected recent crowd sourced scores of the intra-constructor constructs. ### Claim 10 (depends on 8) The computer-implemented method of claim 8, further including storing a historical score of the intra-constructor constructs. ### Claim 11 (depends on 10) The computer-implemented method of claim 10, wherein the historical score of the intra-constructor constructs is based on historical crowd sourced scores of the intra-constructor constructs. ### Claim 12 (depends on 11) The computer-implemented method of claim 11, wherein the historical crowd sourced scores of the intra-constructor constructs are restricted to a time window. ### Claim 13 (depends on 11) The computer-implemented method of claim 11, wherein the historical crowd sourced scores of the intra-constructor constructs are adjusted for score scale drift. ### Claim 14 (depends on 8) The computer-implemented method of claim 8, further including determining the score of the particular construct based on a percentage change between the detected recent crowd sourced scores of the intra-constructor constructs and historical crowd sourced scores of the intra-constructor constructs. ### Claim 15 (depends on 14) The computer-implemented method of claim 14, further including determining the score of the particular construct based on an upward score pressure when the percentage change is positive. ### Claim 16 (depends on 15) The computer-implemented method of claim 15, further including determining the score of the particular construct based on a downward score pressure when the percentage change is negative. ### Claim 17 (depends on 5) The computer-implemented method of claim 5, wherein further including storing constructor clusters that group similar constructors. ### Claim 18 (depends on 17) The computer-implemented method of claim 17, wherein the constructor clusters are based on shared forms. ### Claim 19 (depends on 17) The computer-implemented method of claim 17, wherein the constructor clusters are further based on shared categories. ### Claim 20 (depends on 17) The computer-implemented method of claim 17, wherein constructors in a particular constructor cluster are ranked as emerging, developed, and established.