Estimating user risk based on wireless location determination
US-2024302485-A1 · Sep 12, 2024 · US
US2018041867A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2018041867-A1 |
| Application number | US-201715425316-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 6, 2017 |
| Priority date | Aug 5, 2016 |
| Publication date | Feb 8, 2018 |
| Grant date | — |
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In some embodiments, a method includes: obtaining position information of a wireless hotspot where the user locates, based on hotspot scanning information of wireless hotspots already scanned by the user; acquiring one or more candidate Points of Interest (POIs) close to the wireless hotspot based on the position information; based on characteristic information corresponding to the wireless hotspot and respective candidate POIs, ranking all candidate POIs to determine an POI matching the wireless hotspot, wherein the characteristic information comprises access characteristic information. In some embodiments, the following advantages may be realized: the POI matching the wireless hotspot is obtained based on relevant data that the user scans the wireless hotspot to predict the POI actually accessed by the user without a procedure of manually collecting the data or user feedback, thereby improving the efficiency.
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What is claimed is: 1 . A method for matching a wireless hotspot with a Point of Interest (“POI”), comprising: obtaining position information of a wireless hotspot located by a user device based on hotspot scanning information of wireless hotspots scanned by the user device; acquiring one or more candidate POIs close to the wireless hotspot based on the position information; and ranking each of the candidate POIs to determine a POI matching the wireless hotspot based on characteristic information corresponding to the wireless hotspot and each of the candidate POIs, wherein the characteristic information includes access characteristic information. 2 . The method according to claim 1 , wherein the characteristic information further includes parameter characteristic information as an input parameter of a ranking model, and ranking the candidate POIs to determine the POI matching the wireless hotspot, based on the characteristic information corresponding to the wireless hotspot and each of the candidate POIs, comprises: calculating matching degree information of the wireless hotspot and each of the candidate POIs, based on the ranking model, and based on one or more pieces of the parameter characteristic information; and ranking each of the candidate POIs to determine the POI matching the wireless hotspot, based on the matching degree information. 3 . The method according to claim 2 , the method further comprising: acquiring characteristic training information corresponding to a plurality of wireless hotspots and candidate POIs close to the plurality of wireless hotspots; and training the ranking model based on the characteristic training information. 4 . The method according to claim 2 , wherein the parameter characteristic information further includes: access characteristic information of the wireless hotspot; access characteristic information of each of the candidate POIs; and relevancy characteristic information between the wireless hotspot and each of the candidate POIs. 5 . The method according to claim 1 , wherein obtaining the position information of the wireless hotspot located by the user device, based on the hotspot scanning information of the wireless hotspots scanned by the user device, comprises: pre-treating the hotspot scanning information to remove data relating to mobile hotspots; and determining the position information of the wireless hotspot where the user locates, based on the pre-treated hotspot scanning information. 6 . The method according to claim 1 , wherein when a plurality of positioning points corresponding to the wireless hotspot are generated when the user device scans a certain wireless hotspot, and obtaining the position information of the wireless hotspot located by the user device, based on the hotspot scanning information of the wireless hotspots scanned by the user device, comprises: calculating an average position as the position information of the wireless hotspot, based on position information of the positioning points of the wireless hotspot. 7 . The method according to claim 1 , wherein acquiring the one or more candidate POIs close to the wireless hotspot according to the position information comprises: acquiring, based on the position information of the wireless spot, one or more POIs within a predetermined range away from the position as the one or more candidate POIs. 8 . An apparatus for matching a wireless hotspot with a POI, the matching apparatus comprising: at least one processor; and a memory storing instructions, which when executed by the at least one processor, cause the at least one processor to perform operations comprising: obtaining position information of a wireless hotspot located by the user device, based on hotspot scanning information of wireless hotspots scanned by the user device; acquiring one or more candidate POIs close to the wireless hotspot based on the position information; ranking all candidate POIs to determine an POI corresponding to the wireless hotspot, based on characteristic information corresponding to the wireless hotspot and respective candidate POIs, wherein the characteristic information includes access characteristic information. 9 . The matching apparatus according to claim 8 , wherein the characteristic information further includes parameter characteristic information as an input parameter of a ranking model, and ranking the candidate POIs to determine the POI matching the wireless hotspot, based on the characteristic information corresponding to the wireless hotspot and each of the candidate POIs, comprises: calculating matching degree information of the wireless hotspot and each of the candidate POIs, based on the ranking model, and based on one or more piece of the parameter characteristic information; and ranking each of the candidate POIs to determine the POI matching the wireless hotspot, based on the matching degree information. 10 . The matching apparatus according to claim 9 , the operations further comprising: acquiring characteristic training information corresponding to a plurality of wireless hotspots and candidate POIs close to the plurality of wireless hotspots; training the ranking model based on the characteristic training information. 11 . The matching apparatus according to claim 9 , wherein the parameter characteristic information further includes: access characteristic information of the wireless hotspot; access characteristic information of each of the candidate POIs; and relevancy characteristic information of the wireless hotspot and each of the candidate POIs. 12 . The matching apparatus according to claim 8 , wherein obtaining position information of the wireless hotspot located by the user device, based on the hotspot scanning information of the wireless hotspots scanned by the user device, comprises: pre-treating the hotspot scanning information to remove data relating to mobile hotspots; and determining the position information of the wireless hotspot where the user locates, based on the pre-treated hotspot scanning information. 13 . The matching apparatus according to claim 12 , wherein when a plurality of positioning points corresponding to the wireless hotspot are generated when the user device scans a certain wireless hotspot, and obtaining position information of the wireless hotspot located by the user device, based on the hotspot scanning information of the wireless hotspots scanned by the user device comprises: calculating an average position as the position information of the wireless hotspot, based on position information of respective positioning points of the wireless hotspot. 14 . The matching apparatus according to claim 8 , wherein acquiring the one or more candidate POIs close to the wireless hotspot based on the position information comprises: acquiring, based on the position information of the wireless spot, one or more POIs within a predetermined range away from the position as the one or more candidate POIs. 15 . A non-transitory computer storage medium storing a computer program, which when executed by one or more processors, causes the one or more processors to perform operations comprising: obtaining position information of a wireless hotspot located by a user device, based on hotspot scanning information of wireless hotspots scanned by the user device; acquiring one or more candidate POIs close to the wireless hotspot based on the position information; and ranking each of the candidate POIs to determine a POI matching the wireless hotspot, based on characteristic information corresponding to the
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