FMR had five patents in digitalization during Q3 2023. FMR LLC has filed a patent for systems and methods to measure the impact of online search queries on user actions. The method involves capturing clickstream data from a website, clustering the queries to generate query clusters, and assigning intents to each cluster. These intents estimate the desired actions behind the queries. The method also maps each intent to at least one action and computes metrics to quantitatively measure the impact of the queries on the mapped actions within a predefined time period. GlobalData’s report on FMR gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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FMR grant share with digitalization as a theme is 60% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for measuring impact of online search queries on user actions (Patent ID: US20230252497A1)
This patent application by FMR LLC describes systems and methods for measuring the impact of online search queries on user actions. The method involves capturing clickstream data, which includes text-based queries associated with web searches, and clustering these queries to generate query clusters. Each query cluster is then assigned to an intent, which estimates the desired action behind the queries in that cluster. The method also maps each intent to at least one action motivated by the intent. Metrics are computed using this mapping to quantitatively measure the impact of the queries on the mapped actions by tracking the performance of the actions within a predefined time period after the queries.
The patent application includes several claims that further detail the method. Claim 2 describes expanding the query clusters by adding new clusters based on the analysis of customer clickstream data. This involves determining the proximity of web pages and customer searches based on semantic similarity and using a clustering algorithm to generate new query clusters. New intents are discovered based on these new query clusters, which are different from the predefined intents, and added to expand the query clusters.
Claim 4 explains the process of clustering the queries, which includes cleaning and normalizing the text-based queries, numerically representing them using an embedding creation technique, and recursively clustering them using a hierarchical clustering technique to generate the query clusters. The cleaning process involves removing non-informative phrases, expanding acronyms, removing repetitive words or phrases, and removing sensitive customer information from the queries.
Claim 8 introduces the concept of an engagement-to-action ratio as one of the metrics used to measure the impact of the queries. This ratio quantifies the success rate for completing a customer action within the predefined time period that corresponds to a mapped query. The engagement-to-action ratio is computed by tracking customers who completed the action within the time period and calculating the percentage of customers who performed the corresponding search query and completed the action relative to the overall number of customers who performed the query.
Claim 12 describes a computer-implemented system for measuring the impact of online search queries on customer actions. The system includes an input module for capturing and processing customer clickstream data, an initial clustering module for clustering the queries and assigning intents, a workflow module for mapping intents to customer actions, and a performance measurement module for computing metrics to measure the impact of the queries.
Overall, this patent application presents a method and system for measuring the impact of online search queries on user actions by capturing clickstream data, clustering queries, assigning intents, mapping intents to actions, and computing metrics to quantify the impact.
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