CN108009205B - Search result caching method based on position, search method, client and system - Google Patents
Search result caching method based on position, search method, client and system Download PDFInfo
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- CN108009205B CN108009205B CN201711061216.9A CN201711061216A CN108009205B CN 108009205 B CN108009205 B CN 108009205B CN 201711061216 A CN201711061216 A CN 201711061216A CN 108009205 B CN108009205 B CN 108009205B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
- G06F16/24534—Query rewriting; Transformation
- G06F16/24539—Query rewriting; Transformation using cached or materialised query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Abstract
The application discloses a search result caching method based on a position, which comprises the following steps: acquiring search data obtained by searching according to a search request sent by user equipment; screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data, and the calculation is performed before or after the search data is obtained; caching the data in the dynamic cache radius range to obtain a cache result; generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment; and associating the cache result with the cache key. The application also discloses a searching method, a client and a system based on the position. By the aid of the technical scheme, the search results based on the positions can be more accurate, and user experience is improved.
Description
Technical Field
The application relates to a grid caching technology, in particular to a search result caching method based on a position. The application also relates to a searching method, a client and a system based on the position.
Background
In recent years, the popularization of intelligent portable terminals facilitates the collection of position information of moving people and objects, and a lot of position-oriented search demands are raised, for example, some application software based on a mobile phone client generally provides functions of searching surrounding hotels, restaurants, shops and the like.
In the location-based search, a general solution is to calculate a distance between a user and a candidate object directly according to the current longitude and latitude of the user through a search engine, and if the distance is within a set range, return the candidate object to the user as a search result. During the period of high traffic or activity, the large number of high concurrent requests can cause great stress to the search engine and even lead to the search engine being paralyzed. Therefore, in the prior art, a grid-based cache manner is usually adopted to relieve the pressure of a search engine, and the basic principle is as follows: performing gridding coding on the position, and establishing an index for the coding, for example, calculating a space with a certain size into a character string value as a cache key word by a GeoHash algorithm according to the current longitude and latitude of a user; and finding out objects in all grids in the search range according to the cache keywords. Therefore, as the grid data corresponding to the users in a certain longitude and latitude range are the same, the data are cached, the number of requests for a search engine can be effectively reduced, and the load of the search engine is reduced.
In the prior art, because the size of the grid is usually fixed, under the condition that the candidate objects around the position where the user is located are dense, the number of the objects cached by the grid is large, and the number of the search results provided for the user is large; and under the condition that candidate objects around the position where the user is located are sparse, the number of the objects cached in the grid is small, and the number of search results provided for the user is small, so that the user experience is influenced. For example, a default grid size is set to be a grid of 0.6 square kilometer, the number of stores where the user is located is about 200 when the user is located at about 500 meters, and the range of cached stores is too large to provide more accurate store information to the user. And the number of shops within 1 kilometer of the user is only 20, and the range of cached shops is too small, so that the number of recalled shops is insufficient, and the requirements of the user cannot be met.
Disclosure of Invention
The method comprises the steps of caching a search result according to a preset cache position, and caching the search result according to the cache position.
The present application also does not provide a location-based search method, a client and a system to solve the problems of heavy load of a search engine and low accuracy of search results in the existing location-based search.
Therefore, the following technical scheme is provided:
a method for location-based caching of search results, the method comprising:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
and associating the cache result with the cache key.
Optionally, the offline data is stored in a grid manner with a set size, and the cache keyword corresponding to the grid at least includes a character string generated according to the position information of the grid.
Optionally, calculating a dynamic cache radius according to the location information of the ue and the offline data includes:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results needing to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
Optionally, the candidate result is a grid storage object within a set range from the user.
Optionally, the dynamic cache radius is calculated according to the following formula:
wherein, R is the dynamic cache radius, E is the distribution density of the candidate result, C is the distribution area of the candidate result, and PI is a constant representing the circumferential ratio.
Optionally, the cache key words of the corresponding grid further include a key word for representing a category of a grid storage object; the cache keywords corresponding to the cache results further comprise keywords for representing the user search object category, and the keywords for representing the user search object category are contained in the search request.
A method of location-based searching, the method comprising:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
and returning the data in the dynamic cache radius range to the user as a search result, caching the search result, and generating a cache keyword corresponding to the search result, wherein the cache keyword corresponding to the search result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment.
Optionally, the offline data is stored in a grid manner with a set size, and the keyword corresponding to the grid at least includes a character string generated according to the position information of the grid.
Optionally, the determining a dynamic cache radius according to the location information of the user equipment and the offline data includes:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results needing to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
Optionally, the candidate result is a search object within a set range from the user.
Optionally, the dynamic cache radius is calculated according to the following formula:
wherein, R is the dynamic cache radius, E is the distribution density of the candidate result, C is the distribution area of the candidate result, and PI is a constant representing the circumferential ratio.
Optionally, the searching whether cache data meeting the user requirement exists in the local cache according to the location information of the user and the dynamic cache radius includes:
generating a search keyword according to the dynamic cache radius and the position information of the user equipment;
searching a local cache according to the search keyword;
if the hit cache data exists, the hit cache data is used as cache data meeting the requirements of the user;
otherwise, determining that the local cache does not have cache data meeting the user requirement.
Optionally, the cache key words of the corresponding grid further include a key word for representing a category of a grid storage object; the cache keywords corresponding to the search results further comprise keywords for representing the user search object category, and the keywords for representing the user search object category are contained in the search request.
Optionally, the user equipment is any one or more of the following: mobile terminal, desktop computer, notebook computer, IPAD.
A location-based search client, the client comprising: the system comprises a user interaction interface, a computing unit, a cache data searching unit, a service interaction unit and a cache processing unit;
the user interaction interface is used for receiving a search request sent by user equipment and acquiring the position information of the user equipment;
the computing unit is used for determining a dynamic cache radius according to the position information of the user equipment and the offline data;
the cache data searching unit is used for searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius; if yes, the cache data meeting the requirements of the user are used as search results and transmitted to the user interaction interface; if not, triggering the service interaction interface to interact with a search engine;
the service interaction interface is used for sending the search request and the position information of the user equipment to the search engine according to the triggering of the cache data searching unit and receiving search data returned by the search engine;
the cache processing unit is used for screening the search data to obtain data within the dynamic cache radius range, transmitting the data within the dynamic cache radius range to the user interaction interface as a search result, caching the search result, and generating a cache keyword corresponding to the search result according to the position information of the user equipment and the dynamic cache radius;
the user interaction interface is further configured to return the search result to the user.
Optionally, the offline data is stored in a grid manner with a set size, and the cache keyword corresponding to the grid at least includes a character string generated according to the position information of the grid.
Optionally, the calculation unit determines the dynamic cache radius in the following manner: searching offline data according to the position information of the user equipment to obtain the total number of candidate results; calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results needing to be fed back to the user; and determining the dynamic cache radius according to the distribution density of the candidate result.
Optionally, the searching, by the cache data searching unit, whether cache data meeting the user requirement exists in the local cache according to the following manner includes:
generating a search keyword according to the dynamic cache radius and the position information of the user equipment; searching a local cache according to the search keyword; if the hit cache data exists, the hit cache data is used as cache data meeting the requirements of the user; otherwise, determining that the local cache does not have cache data meeting the user requirement.
Optionally, the cache key words of the corresponding grid further include a key word for representing a category of a grid storage object; the cache keywords corresponding to the search results further comprise keywords for representing the user search object category, and the keywords for representing the user search object category are contained in the search request.
A location-based search system, comprising: a search engine, an offline data storage module, a caching module, and the client of any one of claims 15 to 19; the offline data storage module is used for storing offline data; the search engine is used for searching according to a search request sent by the client and the position information of the user equipment and returning search data to the client; the cache module is used for caching the search results.
Optionally, the client is installed on the user equipment, and the user equipment is any one or more of the following: mobile terminal, desktop computer, notebook computer, IPAD.
Optionally, the user device has a display screen;
the client further comprises:
and the search result processing unit is used for displaying the content of the search result on the display screen.
A readable storage medium having stored thereon instructions that are executable to:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
and associating the cache result with the cache key.
An electronic device, comprising: a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
and associating the cache result with the cache key.
A readable storage medium having stored thereon instructions that are executable to:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
and returning the data in the dynamic cache radius range to the user as a search result, caching the search result, and generating a cache keyword corresponding to the search result, wherein the cache keyword corresponding to the search result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment.
An electronic device, comprising: a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
and returning the data in the dynamic cache radius range to the user as a search result, caching the search result, and generating a cache keyword corresponding to the search result, wherein the cache keyword corresponding to the search result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment.
Compared with the prior art, the method has the following advantages:
according to the search result caching method based on the position, after search data are obtained through searching, data in a dynamic caching radius range obtained through pre-calculation are screened out from the search data, and the dynamic caching radius is obtained through calculation based on the position information of user equipment and offline data, so that the quantity of the cached data is well adjusted through the dynamic caching radius, the cached data can be closer to the position where a user is located, further, a more accurate search result can be obtained based on the cached data, and user experience is improved.
Further, based on the search result caching mode, after receiving a search request sent by user equipment, determining a dynamic caching radius according to the position information of the user equipment and offline data, and searching whether cache data meeting user requirements exist in a local cache according to the position information of the user equipment and the dynamic caching radius; if the search result can be obtained from the cached data, the load of a search engine is effectively reduced, a more accurate search result can be returned to the user, and the user experience is improved.
Drawings
FIG. 1 is a flow diagram of an embodiment of a location-based search result caching method provided herein;
FIG. 2 is a schematic diagram illustrating adjustment of a dynamic cache radius in the location-based search method provided herein;
FIG. 3 is a flow chart of an embodiment of a location-based search method provided herein;
FIG. 4 is a schematic diagram of a location-based search client provided herein;
FIG. 5 is a flow chart illustrating the interaction between different modules in the location-based search system provided herein.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of implementation in many different ways than those herein set forth and of similar import by those skilled in the art without departing from the spirit of this application and is therefore not limited to the specific implementations disclosed below.
As shown in fig. 1, the flowchart of an embodiment of the method for caching search results based on location provided in the present application includes the following steps:
The search request may be a search request for a specific type of object in the vicinity of the user, such as a shopping, or dining, or entertainment type store.
For a specific search service, the search request may not include service type information, for a comprehensive search service, the search request needs to include service type information, for convenience of description, the search request is referred to as a service ID, for example, for providing multiple types of search services such as shopping, dining, entertainment, and the like at the same time, a user is required to select a corresponding service type, for example, a corresponding service type selection box is provided on an interface of the search service for the user to select, or the user may directly input description information or keywords of the service type in the search box, which is not limited in the embodiment of the present application.
The search based on the search request may employ existing location-based search techniques, such as searching restaurants in a set range around the user, which may be a default value of the application system, or may be set by the user, and if set by the user, the set range may be included in the search request.
And 102, screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and the offline data.
It should be noted that the calculation of the dynamic cache radius may be completed before or after the search data is obtained.
The dynamic cache radius determination process is as follows: firstly, searching off-line data according to the position information of the user equipment to obtain the total number of candidate results, then calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of search results needing to be fed back to a user, and finally determining the dynamic cache radius according to the distribution density of the candidate results.
In a specific application, the user device may be, for example, a smart phone, a desktop computer, a notebook computer, an IPAD, or the like. For a smart phone, the smart phone has a positioning function, and for a user device such as a desktop computer which does not have the positioning function, the user device can obtain the position information by means of corresponding software and hardware tools in the prior art.
The offline data can be stored in a grid mode based on a set size, the shape of the grid can be a polygon, a rectangle, a circle and the like, only the complexity and the accuracy in searching the grids in different shapes are different, each grid corresponds to a keyword, the keyword can be generated according to the position information of the grid, for example, a character string is generated based on the central coordinate of the grid, and the character string is used as the keyword corresponding to the grid. Correspondingly, when searching for offline data, a search keyword can be generated according to the position information of the user equipment and a set algorithm, the search keyword is matched with the keyword corresponding to the grid, data in the corresponding grid is obtained according to the matching result, and the data are used as candidate results, so that the total number of the candidate results is obtained. The specific matching method of the keywords can adopt the prior art, and the application is not limited.
The distribution density of the candidate results may be calculated according to the following formula:
E＝M/N (1)
wherein E represents the distribution density of the candidate results, M represents the total number of the candidate results, and N represents the total number of the search results which need to be fed back to the user. The total number of search results that need to be fed back to the user may be set by the application system or by the user, which is not limited in this embodiment of the present application.
As shown in fig. 2, the user requests to recall stores around the user, and assuming that the stores around the user are uniformly distributed, the dynamic cache radius may be calculated according to the following formula:
wherein, R represents the dynamic cache radius, C is the area of the candidate result distribution area, and PI is a constant representing the circumferential rate.
Therefore, when the number of shops around the user is dense, the distribution density of the candidate results is relatively increased, and the dynamic cache radius R is relatively reduced; when the shops around the user are sparse, the distribution density of the candidate results is relatively reduced, and the dynamic cache radius R is relatively enlarged.
Of course, the calculation of the dynamic cache radius may also adopt other formulas, and the embodiment of the present application is not limited thereto.
The screening of the data within the dynamic cache radius range from the search data may be specifically completed in the following manner:
and determining the position of the grid according to the keywords corresponding to the grid, calculating the distance between the grid and the user equipment, and if the distance is smaller than the dynamic cache radius, determining that the data in the grid is in the dynamic cache radius range, and extracting the data.
And 103, caching the data in the dynamic cache radius range to obtain a cache result.
And 104, generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment.
For example, the cache key may be in the following format: dynamic cache radius + grid cache key, which may be a string computed based on existing algorithms such as GeoHash.
And 105, associating the cache result with the cache key word.
And associating the cache key words with the cache results for subsequent searching.
As mentioned above, the cache keyword corresponding to the grid at least includes a character string generated according to the location information of the grid, further, the cache keyword corresponding to the grid may further include a keyword for representing a grid storage object category, and correspondingly, the cache keyword corresponding to the cache result may further include a keyword for representing a user search object category, and the format of the cache keyword may be: service ID + dynamic cache radius + grid cache key. In this way, search results based on dynamic cache radii for different services may be cached simultaneously. The keyword for representing the category of the user search object may be included in the search request.
According to the search result caching method based on the position, after search data are obtained through searching, data in a dynamic caching radius range obtained through pre-calculation are screened out from the search data, and the dynamic caching radius is obtained through calculation based on the position information of user equipment and offline data, so that the quantity of the cached data is well adjusted through adjustment of the dynamic caching radius, the cached data can be closer to the position of a user, accurate search results can be obtained based on the cached data, and user experience is improved.
Accordingly, the present application also provides a readable storage medium having stored thereon instructions that are executable to:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
and associating the cache result with the cache key.
Correspondingly, the present application also provides an electronic device, comprising: a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
and associating the cache result with the cache key.
As shown in fig. 3, it is a flowchart of the location-based search method provided in the present application, and includes the following steps:
The user device may be, for example, a smartphone, desktop computer, laptop computer, IPAD, or the like. For a smart phone, the smart phone has a positioning function, and for a user device such as a desktop computer which does not have the positioning function, the user device can obtain the position information by means of corresponding software and hardware tools in the prior art.
The search request may be a search request for a specific type of object in the vicinity of the user, such as a shopping, or dining, or entertainment type store. The search request may include a service ID, and certainly according to a difference in search requirements, the search request may further include other information related to a search object, for example, a user needs to search for a hotel around, and simultaneously, a requirement is made on a star level of the hotel, requiring more than four stars.
The offline data can be stored in a grid mode based on set size, the shape of the grid can be polygonal, rectangular, circular and the like, only the complexity and the precision in searching grids in different shapes are different, each grid corresponds to a keyword, and the keyword at least comprises a character string generated according to the position information of the grid.
The calculation of the dynamic cache radius has been described in detail above, and is not described herein again.
It should be noted that the cache data stored in the local cache is data cached based on the search data obtained by the search engine each time and the search result screened out according to the corresponding dynamic cache radius, and the cache key of the cache data at least includes a character string generated according to the corresponding dynamic cache radius and the location information of the user equipment. Therefore, when searching whether cache data meeting the user requirement exists in the local cache, firstly generating a search keyword according to the dynamic cache radius obtained by calculation in the step 302 and the position information of the user equipment, and searching the local cache according to the search keyword, namely matching the search keyword with the cache keyword in the local cache; if the hit cache data exists, the hit cache data is used as cache data meeting the requirements of the user; otherwise, determining that the local cache does not have cache data meeting the user requirement.
And step 304, returning the cache data meeting the requirements of the user to the user as a search result.
In the case that there is no corresponding cache data in the local cache, the search engine is used to perform a search according to the search request and the location information of the user equipment, which may specifically adopt the prior art.
And step 306, after receiving the search data returned by the search engine, screening the search data to obtain the data within the dynamic cache radius range.
Specifically, the position of the grid may be determined according to a keyword corresponding to the grid, the distance between the grid and the user equipment is calculated, and if the distance is smaller than the dynamic cache radius, it is determined that data in the grid is within the dynamic cache radius range, and the data is extracted.
The cache key may take the following format: the dynamic cache radius + the mesh cache key may be a character string calculated based on an existing algorithm such as GeoHash, and further, the mesh cache key may further include a service ID, and the format of the mesh cache key may be: service ID + dynamic cache radius + grid cache key.
Of course, the search result and the cache key need to be correlated for subsequent search of the local cache data.
After receiving a search request sent by user equipment, determining a dynamic cache radius according to the position information and offline data of the user equipment, and searching whether cache data meeting user requirements exist in a local cache according to the position information and the dynamic cache radius of the user equipment; if the search result is available, the search result can be obtained from the cache data, if the search result is not available, a search request is sent to the search engine, the data in the dynamic cache radius is screened out for caching for the search data returned by the search engine, and based on the adjustment of the dynamic cache radius, the search results obtained by all users are guaranteed to be cache results which are closer to the current user and are distributed more uniformly.
Therefore, the search method based on the position effectively reduces the load of a search engine, can return a more accurate search result to a user, and improves user experience.
Accordingly, the present application also provides a readable storage medium having stored thereon instructions that are executable to:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
and returning the data in the dynamic cache radius range to the user as a search result, caching the search result, and generating a cache keyword corresponding to the search result, wherein the cache keyword corresponding to the search result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment.
Correspondingly, the present application also provides an electronic device, comprising: a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
and returning the data in the dynamic cache radius range to the user as a search result, caching the search result, and generating a cache keyword corresponding to the search result, wherein the cache keyword corresponding to the search result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment.
The present application further provides a location-based search client, which is a schematic structural diagram of the search client, as shown in fig. 4.
In this embodiment, the search client includes: a user interaction interface 401, a calculation unit 402, a cache data lookup unit 403, a service interaction unit 404, and a cache processing unit 405. Wherein:
the user interaction interface 401 is configured to receive a search request sent by a user equipment, and obtain location information of the user equipment;
the calculating unit 402 is configured to determine a dynamic cache radius according to the location information of the ue and the offline data;
the cache data searching unit 403 is configured to search whether cache data meeting a user requirement exists in a local cache according to the location information of the user equipment and the dynamic cache radius; if yes, the cache data meeting the requirements of the user is used as a search result and is transmitted to the user interaction interface 401; if not, the service interaction interface 404 is triggered to interact with the search engine;
the service interaction interface 404 is configured to send the search request and the location information of the user equipment to the search engine according to the trigger of the cache data search unit, and receive search data returned by the search engine;
the cache processing unit 405 is configured to filter the search data to obtain data within the dynamic cache radius range, transmit the data within the dynamic cache radius range to the user interaction interface as a search result, cache the search result, and generate a cache keyword corresponding to the search result according to the location information of the user equipment and the dynamic cache radius;
accordingly, the user interaction interface 401 is further configured to return the search result to the user, for example, send the search result to the user equipment, and the user equipment displays the search result on a display screen. The content of the search results may include: interface information of a specific object and additional content and the like which enable the user equipment to navigate to the specific object when a user clicks the graphical interface, wherein the presentation mode of the interface information can be a list, an icon and the like.
The offline data is stored in a grid mode with a set size, and the cache keywords corresponding to the grids at least comprise character strings generated according to the position information of the grids.
In this embodiment, the offline data is stored in a grid manner with a set size, and the cache keyword corresponding to the grid at least includes a character string generated according to the location information of the grid, and may further include a keyword used for representing a category of a grid storage object.
Accordingly, the calculation unit 402 may determine the dynamic cache radius in the following manner: searching offline data according to the position information of the user equipment to obtain the total number of candidate results; calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results needing to be fed back to the user; the dynamic cache radius is determined according to the distribution density of the candidate result, and the specific calculation manner may refer to the description in the embodiment of the location-based search method in the present application, which is not described herein again.
When the cache data searching unit 403 searches whether there is cache data meeting the user requirement in the local cache, a search keyword may be generated according to the dynamic cache radius and the location information of the user equipment; then, searching a local cache according to the search keyword; if the hit cache data exists, the hit cache data is used as cache data meeting the requirements of the user; otherwise, determining that the local cache does not have cache data meeting the user requirement.
It should be noted that, in practical applications, the cache keyword corresponding to the search result at least includes a character string generated according to the dynamic cache radius and the location information of the user equipment, and further may further include a keyword used for representing a category of a user search object.
The above-mentioned keywords for representing the category of the user search object may be included in the search request received by the user interaction interface 301.
By utilizing the search client based on the position, the load of a search engine can be effectively reduced, a more accurate search result can be returned to a user, and the user experience is improved.
Accordingly, the present application also provides a location-based search system, comprising: the system comprises a search engine, an offline data storage module, a cache module and the client; the offline data storage module is used for storing offline data; the search engine is used for searching according to a search request sent by the client and the position information of the user equipment and returning search data to the client; the cache module is used for caching the search results.
Fig. 5 shows an interaction flow between different modules in the location-based search system provided by the present application, and the specific process is as follows:
1. a user accesses the APP and sends a search request to a client;
2. after receiving a search request sent by a user, a client acquires position information of the user, performs offline data cleaning, namely searches offline data stored in a grid mode from an offline data storage module to obtain the total number of candidate results, calculates the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results needing to be fed back to the user, and determines the dynamic cache radius according to the distribution density of the candidate results.
3. And the client searches the cache data, namely whether the cache data meeting the requirements of the user exists in the local cache module is searched according to the position information of the user and the dynamic cache radius.
4. And returning a search result.
5. Whether the cache data is hit is checked, that is, whether the cache data meeting the user requirement is found is determined, and the specific search mode may refer to the description in the embodiment of the location-based search method in the present application, which is not described herein again.
6. And if the cache is hit, returning the cache result to the user.
7.1. If the cache misses, the engine data is recalled, i.e., a search request is sent to the search engine, along with the user's location information.
7.2. The search engine returns search data to the client.
7.3. And the client screens the search data in the dynamic cache radius range from the search data returned by the search engine to serve as a search result.
7.4.1. The client returns the search results to the user.
7.4.2. And the client caches the search result to a cache module.
It should be noted that, in practical application, the client is installed on the user equipment, and the user equipment is any one or more of the following: mobile terminal, desktop computer, notebook computer, IPAD. A specific structure of the client can be seen in fig. 4.
Generally, the user equipment has a display screen, and accordingly, another specific structure of the client may further include: and the search result processing unit is connected with the user interaction interface 401 and is used for displaying the content of the search result on the display screen. The content of the search results may include: a graphical interface for representing a particular object, and additional content for a user to click on the graphical interface to cause the user device to navigate to the particular object.
The search system based on the position caches the search results based on the dynamic cache radius of dynamic transformation, cached data are closer to the real environment around the user, the load of a search engine is effectively reduced, more accurate search results can be returned to the user, and user experience is improved.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be utilized to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Claims (22)
1. A method for caching search results based on location, the method comprising:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result, wherein the cache result is used as a search result and displayed on a display screen of the user equipment;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
associating the cache result with the cache key;
wherein calculating a dynamic cache radius according to the location information of the user equipment and the offline data comprises:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
2. The method according to claim 1, wherein the offline data is stored in a grid manner with a set size, and the cache key corresponding to the grid at least includes a character string generated according to the position information of the grid.
3. The method of claim 1, wherein the candidate result is a grid storage object within a set range from the user.
4. The method of claim 1, wherein the dynamic cache radius is calculated according to the following formula:
wherein R is a dynamic cache radius, E is a distribution density of the candidate result, C is a distribution region area of the candidate result,PIis a constant representing the circumferential ratio.
5. The method of claim 2, wherein the cache key of the corresponding grid further comprises a key for representing a category of grid storage objects; the cache keywords corresponding to the cache results further comprise keywords for representing the user search object category, and the keywords for representing the user search object category are contained in the search request.
6. A method for location-based searching, the method comprising:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
returning the data in the dynamic cache radius range to the user as a search result, displaying the search result on a display screen of user equipment, caching the search result, and generating cache keywords corresponding to the search result, wherein the cache keywords corresponding to the search result at least comprise character strings generated according to the dynamic cache radius and the position information of the user equipment;
wherein: the determining a dynamic cache radius according to the location information of the user equipment and the offline data includes:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
7. The method according to claim 6, wherein the offline data is stored in a grid manner of a set size, and the keyword corresponding to the grid at least includes a character generated from the position information of the grid.
8. The method of claim 6, wherein the candidate result is a search object within a set range from the user.
9. The method of claim 6, wherein the dynamic cache radius is calculated according to the following formula:
wherein R is a dynamic cache radius, E is a distribution density of the candidate result, C is a distribution region area of the candidate result,PIis a constant representing the circumferential ratio.
10. The method according to any one of claims 7 to 9, wherein the searching for whether the cache data meeting the user requirement exists in the local cache according to the location information of the user and the dynamic cache radius comprises:
generating a search keyword according to the dynamic cache radius and the position information of the user equipment;
searching a local cache according to the search keyword;
if the hit cache data exists, the hit cache data is used as cache data meeting the requirements of the user;
otherwise, determining that the local cache does not have cache data meeting the user requirement.
11. The method of claim 7, wherein the cache key of the corresponding grid further comprises a key for representing a category of grid storage objects; the cache keywords corresponding to the search results further comprise keywords for representing the user search object category, and the keywords for representing the user search object category are contained in the search request.
12. The method according to any one of claims 6 to 9, wherein the user equipment is any one or more of: mobile terminal, desktop computer, notebook computer, IPAD.
13. A location-based search client, the client comprising: the system comprises a user interaction interface, a computing unit, a cache data searching unit, a service interaction unit and a cache processing unit;
the user interaction interface is used for receiving a search request sent by user equipment and acquiring the position information of the user equipment;
the calculating unit is configured to determine a dynamic cache radius according to the location information of the ue and the offline data, and includes: searching offline data according to the position information of the user equipment to obtain the total number of candidate results; calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user; determining a dynamic cache radius according to the distribution density of the candidate result;
the cache data searching unit is used for searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius; if yes, the cache data meeting the requirements of the user are used as search results and transmitted to the user interaction interface; if not, triggering the service interaction interface to interact with the search engine;
the service interaction interface is used for sending the search request and the position information of the user equipment to the search engine according to the triggering of the cache data searching unit and receiving search data returned by the search engine;
the cache processing unit is used for screening the search data to obtain data within the dynamic cache radius range, transmitting the data within the dynamic cache radius range to the user interaction interface as a search result, caching the search result, and generating a cache keyword corresponding to the search result according to the position information of the user equipment and the dynamic cache radius;
and the user interaction interface is also used for returning the search result to the user and displaying the search result on a display screen of user equipment.
14. The client according to claim 13, wherein the offline data is stored in a grid manner with a set size, and the cache key corresponding to the grid at least includes a character string generated according to the position information of the grid.
15. The client according to claim 13, wherein the cache data searching unit searches whether cache data meeting the user requirement exists in the local cache by the following manner:
generating a search keyword according to the dynamic cache radius and the position information of the user equipment; searching a local cache according to the search keyword; if the hit cache data exists, the hit cache data is used as cache data meeting the requirements of the user; otherwise, determining that the local cache does not have cache data meeting the user requirement.
16. The client of claim 14, wherein the cache key of the corresponding grid further comprises a key for representing a category of grid storage objects; the cache keywords corresponding to the search results further comprise keywords for representing the user search object category, and the keywords for representing the user search object category are contained in the search request.
17. A location-based search system, comprising: a search engine, an offline data storage module, a caching module, and the client of any one of claims 13 to 16; the offline data storage module is used for storing offline data; the search engine is used for searching according to a search request sent by the client and the position information of the user equipment and returning search data to the client; the cache module is used for caching the search results.
18. The search system of claim 17, wherein the client is installed on the user device, and wherein the user device is any one or more of: mobile terminal, desktop computer, notebook computer, IPAD.
19. A readable storage medium having instructions stored thereon that are executable to:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result, wherein the cache result is used as a search result and displayed on a display screen of the user equipment;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
associating the cache result with the cache key;
wherein calculating a dynamic cache radius according to the location information of the user equipment and the offline data comprises:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
20. An electronic device, comprising: a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
acquiring search data obtained by searching according to a search request sent by user equipment;
screening out data in a dynamic cache radius range obtained by pre-calculation from the search data, wherein the dynamic cache radius is obtained by calculation according to the position information of the user equipment and offline data;
caching the data in the dynamic cache radius range to obtain a cache result, wherein the cache result is used as a search result and displayed on a display screen of the user equipment;
generating a cache keyword corresponding to the cache result, wherein the cache keyword corresponding to the cache result at least comprises a character string generated according to the dynamic cache radius and the position information of the user equipment;
associating the cache result with the cache key;
wherein calculating a dynamic cache radius according to the location information of the user equipment and the offline data comprises:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
21. A readable storage medium having instructions stored thereon that are executable to:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
returning the data in the dynamic cache radius range to the user as a search result, displaying the search result on a display screen of user equipment, caching the search result, and generating cache keywords corresponding to the search result, wherein the cache keywords corresponding to the search result at least comprise character strings generated according to the dynamic cache radius and the position information of the user equipment;
wherein calculating a dynamic cache radius according to the location information of the user equipment and the offline data comprises:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
22. An electronic device, comprising: a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
receiving a search request sent by user equipment, and acquiring the position information of the user equipment;
determining a dynamic cache radius according to the position information of the user equipment and the offline data;
searching whether cache data meeting the user requirements exist in a local cache or not according to the position information of the user equipment and the dynamic cache radius;
if so, returning the cache data meeting the requirements of the user to the user as a search result;
if not, sending the search request and the position information of the user equipment to a search engine;
after receiving search data returned by a search engine, screening the search data to obtain data within the radius range of the dynamic cache;
returning the data in the dynamic cache radius range to the user as a search result, displaying the search result on a display screen of user equipment, caching the search result, and generating cache keywords corresponding to the search result, wherein the cache keywords corresponding to the search result at least comprise character strings generated according to the dynamic cache radius and the position information of the user equipment;
wherein calculating a dynamic cache radius according to the location information of the user equipment and the offline data comprises:
searching offline data according to the position information of the user equipment to obtain the total number of candidate results;
calculating the distribution density of the candidate results according to the total number of the candidate results and the total number of the search results which are set by an application system of the user equipment and need to be fed back to the user;
and determining the dynamic cache radius according to the distribution density of the candidate result.
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| CN111831716B (en) * | 2020-06-17 | 2023-04-04 | 西安电子科技大学 | Data caching and retrieving method, system, medium, computer equipment and terminal |
| CN111814042A (en) * | 2020-06-24 | 2020-10-23 | 浙江大华技术股份有限公司 | Device search method, device search system, and computer-readable storage medium |
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