CN110648198A - Calculation method for acquiring activities near stores based on LBS positioning - Google Patents
Calculation method for acquiring activities near stores based on LBS positioning Download PDFInfo
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- CN110648198A CN110648198A CN201910838646.XA CN201910838646A CN110648198A CN 110648198 A CN110648198 A CN 110648198A CN 201910838646 A CN201910838646 A CN 201910838646A CN 110648198 A CN110648198 A CN 110648198A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0639—Item locations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/024—Guidance services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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Abstract
A computing method for acquiring activities near stores based on LBS positioning comprises the following steps: searching for activities of required nearby stores according to a search instruction on the commodity service platform; when the area has the activity of the commodity store, clicking to acquire the activity content of the store for reference, clicking to acquire the position information of the store, starting the GPS navigation of the mobile terminal, and clicking to exit the store interface if the position information does not meet the requirement of the user; when no needed commodity store activity exists in a search area with the distance R as the radius, the distance parameter is reset to be R; and searching for the needed commodity store activities by taking the distance R as a search radius until the needed commodity store activities are searched in the search area by taking the distance R as the radius. The invention can quickly and accurately position and search the commodity, promotes the commodity sales efficiency from the geographical position, achieves better popularization effect, and reduces the cost of the merchant in selling and popularizing the commodity.
Description
Technical Field
The invention relates to the field of acquiring activities near stores, in particular to a computing method for acquiring the activities near stores based on LBS positioning.
Background
With the popularization of mobile terminals such as smart phones and the rapid development of electronic commerce, a mode of searching for merchant information on a network platform through the mobile terminals such as smart phones and navigating to specific merchant positions for consumption according to search results has become a popular life style for many smart phone users.
In recent years, with the rapid development of mobile internet, people have more and more demands for obtaining information anytime and anywhere. Although the application of the location service market is rich at present, people still have difficulty in rapidly acquiring information from massive information of the mobile internet. In the traditional Web internet, a large number of personalized information recommendation systems can help users to relieve the information overload problem and provide better personalized recommendation service. It can be that the traditional Web internet is mainly aimed at PC, which is obviously inconvenient for mobile users, and obviously more suitable for the activities such as services or electronic commerce with obvious regional characteristics. When a user needs to acquire activities of nearby stores, the user can not find and position the stores through the smart phone terminal specifically and quickly, and more convenient and accurate services can not be provided for the user. Aiming at the practical problems, the application provides a scenized O2O commodity recommendation system based on LBS accurate positioning.
In order to solve the above problems, the present application provides a computing method for acquiring activities near an store based on LBS location.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides the computing method for acquiring the activities near the stores based on LBS positioning, the commodities are quickly and accurately positioned and searched, the commodity sales efficiency is promoted from the geographical position, a good popularization effect is achieved, and meanwhile, the cost of merchants selling the commodities and popularizing the commodities is reduced.
(II) technical scheme
In order to solve the above problems, the present invention provides a computing method for acquiring activities near an store based on LBS location, comprising the steps of:
s1, uploading and updating store commodity information and activities by each store on the commodity service platform;
s2, the user registers and logs in the commodity service platform, and sets search parameters according to a search instruction on the commodity service platform, and searches for the activities of the needed nearby stores by taking the position of the mobile terminal as a search center and the distance r as a search radius;
s3, when the mobile terminal displays that the required commodity store activity exists in the search area with the distance r as the radius, clicking to acquire the activity content of the store for reference, if the required commodity store activity accords with the requirement of the user, clicking to acquire the position information of the store, starting the GPS navigation of the mobile terminal, planning the specific distance between the mobile terminal and the selected store, and planning a plurality of travel ways;
s4, clicking to acquire the activity content of the store for reference, and clicking a button for exiting the store interface if the activity content does not meet the requirements of the user;
s5, when the mobile terminal displays that no needed commodity store activity exists in the search area with the distance R as the radius, resetting the distance parameter as R; searching for the needed commodity store activities by taking the distance R as a search radius until the needed commodity store activities are found in a search area by taking the distance R as the radius, wherein R > R;
s6, clicking to acquire the activity content of the store for reference, clicking to acquire the position information of the store if the user needs to go to the store according with the requirement of the user, starting the GPS navigation of the mobile terminal, planning the specific distance between the mobile terminal and the selected merchant, and planning a plurality of travel ways;
and S7, clicking to acquire the activity content of the store for reference, and clicking a button for exiting the store interface if the activity content does not meet the requirements of the user.
Preferably, in S2, the search parameters include the type of the store event, the time at which the store event is updated, the distance location of the store event, the price zone of the store event, and the popularity of the store event.
Preferably, in S3 and S6, the multiple sets of travel routes include three sets of routes for walking, riding and driving, and also include multiple routes such as time-first, shortest distance and congestion avoidance during riding and driving.
Preferably, a memory analysis module is arranged in the commodity service platform, and when the user is in the previous position again, the commodity service platform automatically pushes the associated store activity information.
Preferably, the memory analysis module is obtained based on the user's historical browsing history and information on the travel to the purchase event.
The technical scheme of the invention has the following beneficial technical effects: the activity is suitable for the configuration of which stores, the activity is converted into the reverse index of the stores and the activity of which stores have the activity, the LBS is combined to position the stores to calculate the activity near the position, specifically, the information of the activity of the commodity store is disclosed through a commodity service platform, when a consumer searches the activity of the relevant commodity store through a smart phone or other intelligent terminals, the corresponding display arrangement can be carried out according to the distance between the commodity store and the consumer, so that the consumer can know the closest commodity store in time, and then the merchant position of the commodity store is navigated according to a navigation system. Compared with the prior art, the method and the system realize quick and accurate positioning and searching of the commodities, promote the selling efficiency of the commodities from the geographical position, achieve better popularization effect, and reduce the cost of the merchant in selling and popularizing the commodities.
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Fig. 1 is a block flow diagram of a computing method for acquiring activities near an store based on LBS location.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1, the computing method for acquiring activities near an store based on LBS location proposed by the present invention includes the following steps:
s1, uploading and updating store commodity information and activities by each store on the commodity service platform;
s2, the user registers and logs in the commodity service platform, and sets search parameters according to a search instruction on the commodity service platform, and searches for the activities of the needed nearby stores by taking the position of the mobile terminal as a search center and the distance r as a search radius;
s3, when the mobile terminal displays that the required commodity store activity exists in the search area with the distance r as the radius, clicking to acquire the activity content of the store for reference, if the required commodity store activity accords with the requirement of the user, clicking to acquire the position information of the store, starting the GPS navigation of the mobile terminal, planning the specific distance between the mobile terminal and the selected store, and planning a plurality of travel ways;
s4, clicking to acquire the activity content of the store for reference, and clicking a button for exiting the store interface if the activity content does not meet the requirements of the user;
s5, when the mobile terminal displays that no needed commodity store activity exists in the search area with the distance R as the radius, resetting the distance parameter as R; searching for the needed commodity store activities by taking the distance R as a search radius until the needed commodity store activities are found in a search area by taking the distance R as the radius, wherein R > R;
s6, clicking to acquire the activity content of the store for reference, clicking to acquire the position information of the store if the user needs to go to the store according with the requirement of the user, starting the GPS navigation of the mobile terminal, planning the specific distance between the mobile terminal and the selected merchant, and planning a plurality of travel ways;
and S7, clicking to acquire the activity content of the store for reference, and clicking a button for exiting the store interface if the activity content does not meet the requirements of the user.
In an alternative embodiment, in S2, the search parameters include the type of the store event, the time at which the store event is updated, the distance location of the store event, the price zone of the store event, and the popularity of the store event.
In an alternative embodiment, in S3 and S6, the multiple sets of travel routes include three sets of routes for walking, riding and driving, and also include multiple routes such as time-first, shortest distance and congestion avoidance during riding and driving.
In an optional embodiment, a memory analysis module is arranged in the commodity service platform, and when the user is in the previous position again, the commodity service platform automatically pushes the associated store activity information.
In an alternative embodiment, the memory analysis module is obtained based on the user's historical browsing history and information on the travel to the purchase event.
In the invention, the activity is suitable for the configuration of which stores, the activity is converted into the reverse indexes of the stores and the activities of which stores have the activity, the LBS is combined to position the stores to calculate the activities near the current position, specifically, the information of the activity of the commodity store is disclosed through a commodity service platform, when a consumer searches the activity of the relevant commodity store through a smart phone or other intelligent terminals, the display arrangement is correspondingly carried out according to the distance between the commodity store and the consumer, so that the consumer can know the closest commodity store in time, and then the position of a merchant where the commodity store is located is navigated according to a navigation system. Compared with the prior art, the method and the system realize quick and accurate positioning and searching of the commodities, promote the selling efficiency of the commodities from the geographical position, achieve better popularization effect, and reduce the cost of the merchant in selling and popularizing the commodities.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (5)
1. A computing method for acquiring activities near an store based on LBS positioning is characterized by comprising the following steps:
s1, uploading and updating store commodity information and activities by each store on the commodity service platform;
s2, the user registers and logs in the commodity service platform, and sets search parameters according to a search instruction on the commodity service platform, and searches for the activities of the needed nearby stores by taking the position of the mobile terminal as a search center and the distance r as a search radius;
s3, when the mobile terminal displays that the required commodity store activity exists in the search area with the distance r as the radius, clicking to acquire the activity content of the store for reference, if the required commodity store activity accords with the requirement of the user, clicking to acquire the position information of the store, starting the GPS navigation of the mobile terminal, planning the specific distance between the mobile terminal and the selected store, and planning a plurality of travel ways;
s4, clicking to acquire the activity content of the store for reference, and clicking a button for exiting the store interface if the activity content does not meet the requirements of the user;
s5, when the mobile terminal displays that no needed commodity store activity exists in the search area with the distance R as the radius, resetting the distance parameter as R; searching for the needed commodity store activities by taking the distance R as a search radius until the needed commodity store activities are found in a search area by taking the distance R as the radius, wherein R > R;
s6, clicking to acquire the activity content of the store for reference, clicking to acquire the position information of the store if the user needs to go to the store according with the requirement of the user, starting the GPS navigation of the mobile terminal, planning the specific distance between the mobile terminal and the selected merchant, and planning a plurality of travel ways;
and S7, clicking to acquire the activity content of the store for reference, and clicking a button for exiting the store interface if the activity content does not meet the requirements of the user.
2. The calculation method for obtaining activities nearby the store based on LBS location according to claim 1, wherein the search parameters comprise type of the activity of the commercial store, time of update of the activity of the commercial store, distance location of the activity of the commercial store, price interval of the activity of the commercial store and popularity of the activity of the commercial store in S2.
3. The method for calculating the activities of the store based on the LBS location as claimed in claim 1, wherein the plurality of sets of travel routes include three routes of walking, riding and driving in S3 and S6, and further include a plurality of routes of time-first, shortest distance and congestion avoidance during the time riding and driving.
4. The computing method for obtaining the activities nearby the store based on the LBS positioning as claimed in claim 1, wherein a memory analysis module is installed in the goods service platform, and when the user is at the previous location again, the goods service platform automatically pushes the associated store activity information.
5. The computing method for obtaining the activities nearby the store based on LBS positioning as claimed in claim 4, wherein the memory analysis module is obtained according to the user's historical browsing history and information going to the purchasing activities.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910838646.XA CN110648198A (en) | 2019-09-05 | 2019-09-05 | Calculation method for acquiring activities near stores based on LBS positioning |
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| CN201910838646.XA CN110648198A (en) | 2019-09-05 | 2019-09-05 | Calculation method for acquiring activities near stores based on LBS positioning |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114218506A (en) * | 2021-12-21 | 2022-03-22 | 中国建设银行股份有限公司 | Store searching method, control device and system |
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| CN109754282A (en) * | 2018-12-12 | 2019-05-14 | 武汉中科天宇科技有限公司 | A kind of searching method and system of the preferential trade company of electronic emporium |
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| CN103929718A (en) * | 2014-04-30 | 2014-07-16 | 陈明羲 | Commodity service search and navigation method based on LBS |
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Application publication date: 20200103 |