# US 2019/0171764 A1 · Recommending relevant positions > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0171764 A1 - Document ID: US20190171764A1 - Status: Published application - Kind: A1 - Application number: 15/828,915 - Filed: 2017-12-01 - Published: 2019-06-06 - Earliest claimed: 2017-12-01 - Assignees: Microsoft Technology Licensing, LLC - Applicants: Microsoft Technology Licensing, LLC - Inventors: Dhruv Arya; Kevin Kao; Huichao Xue - Web page: https://patentgrep.com/patent/US20190171764A1 ## CPC - G06F 16/9535: Search customisation based on user profiles and personalisation - G06F 16/9038: Presentation of query results - G06Q 30/02: Marketing; Price estimation or determination; Fundraising - G06Q 50/00: Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism (healthcare informatics G16H) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract This disclosure relates to systems and methods for recommending relevant positions. A method includes receiving, from a member of an online networking service, a query for one or more available employment positions; executing the query, at a database of employment positions, to retrieve the one or more available employment positions; filtering results of the query according to one or more facets; generating an electronic user interface to display the filtered results; and allowing the member to adjust the facets using the electronic user interface. ## Claims ### Claim 1 A system comprising: a machine-readable medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: receiving a query from a member of an online networking service; execute the query to retrieve one or more available employment positions as query results; selecting, without user intervention, one or more facets to filter the query results; filtering the query results according to the one or more facets; causing, after the filtering, the filtered results to be displayed to the member in an electronic user interface; and causing the user interface to allow the member to adjust facets applied to the query results. ### Claim 2 (depends on 1) The system of claim 1, wherein the operations further comprise updating the results according to one or more facet adjustments made by the member. ### Claim 3 (depends on 1) The system of claim 1, wherein the filtering comprises applying a coarse filter to the query results resulting in coarse results and applying a fine filter to the coarse results to generate the filtered results. ### Claim 4 (depends on 1) The system of claim 1, wherein the facets are selected from a predetermined set of facets. ### Claim 5 (depends on 1) The system of claim 1, wherein the operations further comprise applying a machine learning system to learn a set of facets to be used in the filtering. ### Claim 6 (depends on 1) The system of claim 1, wherein the filtering comprises integrating facets in separate queries resulting in a set of results for each facet and filtering the query results according to a commonality of results for each of the facets. ### Claim 7 (depends on 1) The system of claim 1, wherein the operations further comprise indexing each of the available employment positions according to a default set of fields. ### Claim 8 A method comprising: receiving a query from a member of an online networking service; execute the query to retrieve one or more available employment positions as query results; selecting, without user intervention, one or more facets to filter the query results; filtering the query results according to the one or more facets; causing, after the filtering, the filtered results to be displayed to the member in an electronic user interface; and causing the user interface to allow the member to adjust facets applied to the query results. ### Claim 9 (depends on 8) The method of claim 8, wherein the operations further comprise updating the results according to one or more facet adjustments made by the member. ### Claim 10 (depends on 8) The method of claim 8, wherein the filtering comprises applying a coarse filter to the query results resulting in coarse results and applying a fine filter to the coarse results to generate the filtered results. ### Claim 11 (depends on 8) The method of claim 8, wherein the facets are selected from a predetermined set of facets. ### Claim 12 (depends on 8) The method of claim 8, further comprising applying a machine learning system to learn a set of facets to be used in the filtering. ### Claim 13 (depends on 8) The method of claim 8, wherein the filtering comprises integrating facets in separate queries resulting in a set of results for each facet and filtering the query results according to a commonality of results for each of the facets. ### Claim 14 (depends on 8) The method of claim 8, further comprise indexing each of the available employment positions according to a default set of fields. ### Claim 15 A machine-readable hardware medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform: receiving a query from a member of an online networking service; execute the query to retrieve one or more available employment positions as query results; selecting, without user intervention, one or more facets to filter the query results; filtering the query results according to the one or more facets; causing, after the filtering, the filtered results to be displayed to the member in an electronic user interface; and causing the user interface to allow the member to adjust facets applied to the query results ### Claim 16 (depends on 15) The machine-readable medium of claim 15, wherein the instructions further comprise updating the results according to one or more facet adjustments made by the member. ### Claim 17 (depends on 15) The machine-readable medium of claim 15, wherein the filtering comprises applying a coarse filter to the query results resulting in coarse results and applying a fine filter to the coarse results to generate the filtered results. ### Claim 18 (depends on 15) The machine-readable medium of claim 15, wherein the facets are selected from a predetermined set of facets. ### Claim 19 (depends on 15) The machine-readable medium of claim 15, further comprising applying a machine learning system to learn a set of facets to be used in the filtering. ### Claim 20 (depends on 15) The machine-readable medium of claim 15, wherein the filtering comprises integrating facets in separate queries resulting in a set of results for each facet and filtering the query results according to a commonality of results for each of the facets.