CN112214573A - Information search system, method, computing device, and computer storage medium - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000007499 fusion processing Methods 0.000 claims abstract description 15
- 230000010354 integration Effects 0.000 claims abstract description 13
- 230000008520 organization Effects 0.000 claims abstract description 13
- 238000012163 sequencing technique Methods 0.000 claims abstract description 8
- 238000004891 communication Methods 0.000 claims description 15
- 230000004927 fusion Effects 0.000 claims description 12
- 230000006870 function Effects 0.000 claims description 10
- 230000000694 effects Effects 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 12
- 230000008901 benefit Effects 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 2
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
- G06F16/319—Inverted lists
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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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
- G06F16/9535—Search customisation based on user profiles and personalisation
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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]
Abstract
The invention discloses an information search system, a method, a computing device and a computer storage medium, wherein the system comprises: the system comprises a plurality of databases, a service data module and an inquiry interface; the system also comprises an inverted index organization module and a data integration module; the inverted index organization module is connected with various databases and is used for converting data in the various databases into inverted indexes taking attribute values as names of inverted index items; the data integration module is connected with the reverse index organization module and the service data module and is used for carrying out data fusion processing on the service data provided by the reverse index and service data module to obtain an object sorting result; and the data integration module is also connected with the query interface and used for feeding back a query result to the query interface according to the object sorting result. According to the scheme of the invention, the data in the database is organized into the structure of the reverse index and is fused with the service data, so that the sequencing result can be quickly and conveniently obtained, and the searching and the use are convenient.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an information search system, an information search method, computing equipment and a computer storage medium.
Background
In the internet era today, it is becoming more common to acquire information via a network, and at the same time, network information is growing explosively, and it is necessary to narrow the information range by searching, and then obtain accurate information. For example, in the e-commerce platform, the corresponding commodity information is obtained by inputting the commodity attribute.
In general, information data of a platform is stored in various databases, the platform needs to query corresponding data from the databases in different query modes according to storage formats of different databases, but cannot search in a uniform mode, and the query difficulty is high; meanwhile, the conventional common database cannot be well adapted to a customized data structure, and further cannot flexibly meet various changeable search requirements.
Disclosure of Invention
In view of the above, embodiments of the present invention are proposed in order to provide an information search system, method, computing device and computer storage medium that overcome the above problems or at least partially solve the above problems.
According to an aspect of an embodiment of the present invention, there is provided an information search system including: the system comprises a plurality of databases, a service data module and an inquiry interface; the system also comprises an inverted index organization module and a data integration module; wherein the content of the first and second substances,
the inverted index organization module is connected with various databases and is used for converting data in the various databases into inverted indexes taking attribute values as names of inverted index items;
the data integration module is connected with the inverted index organization module and the service data module and is used for carrying out data fusion processing on the service data provided by the inverted index and service data module to obtain an object sorting result; and the number of the first and second groups,
and the data integration module is also connected with the query interface and used for feeding back the query result to the query interface according to the object sorting result.
According to another aspect of the embodiments of the present invention, there is provided an information search method implemented based on the information search system, including:
converting data in various databases into an inverted index taking an attribute value as an inverted index item name;
performing data fusion processing on the inverted index and the service data provided by the service data module to obtain an object sorting result;
and feeding back a query result to a query interface according to the object sorting result.
According to still another aspect of an embodiment of the present invention, there is provided a computing device including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the information searching method.
According to a further aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, where the executable instruction causes a processor to perform operations corresponding to the information search method.
According to the information search system, the information search method, the information search equipment and the computer storage medium, the inverted index organization module in the search system organizes data in various databases and then converts the data into inverted index structures, and by unifying the data structures into the inverted index structures, corresponding data do not need to be inquired from the databases in different inquiry modes according to storage formats of different databases, so that inquiry can be facilitated, and meanwhile, the inquiry efficiency can be improved; and the data integration module in the search system can fuse the inverted index and the service data to obtain the basic information of the comprehensive object and the sequencing result of the service data, so that the sequencing reasonability and accuracy are improved.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the embodiments of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 illustrates a functional block diagram of an information search system provided by an embodiment of the present invention;
FIG. 2 illustrates a functional block diagram of an information search system provided by another embodiment of the present invention;
FIG. 3a shows a one-to-many table structure diagram in one specific example of the invention;
FIG. 3b shows a many-to-many table structure diagram in one specific example of the invention;
FIG. 4 is a flow chart of an information searching method provided by an embodiment of the invention;
FIG. 5 illustrates a schematic diagram of an inverted index in one particular example of the invention;
fig. 6 shows a schematic structural diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a functional block diagram of an information search system provided by an embodiment of the present invention. As shown in fig. 1, the system includes: various databases 110 (only one database is shown), a business data module 120, and a query interface 130; the database 110 is configured to store various basic information of an object, and for a shopping platform, the various basic information of the object refers to basic attribute information of a product (in this document, the object is mainly used as a product in the shopping platform, and is not limited to this in actual implementation), for example, a category to which the product belongs, a group of people to which the product is suitable, and the like; in practice, multiple objects and/or multiple basic information may be stored in multiple databases, but the present invention is not limited to the specific division manner, and for example, different information may be stored in different types of databases according to the information type, the convenience of storage, and the like. The business data module 120 is used for storing dynamically changing business data, and still in the case of a shopping platform, the business data module can store data such as inventory, online activities, and the like. The query interface 130 is used to respond to query requests from the front-end.
And, the information search system further includes an inverted index organizing module 140 and a data integrating module 150.
In the scheme of the present invention, the data in the multiple databases are all converted into the data structure of the inverted index by the inverted index organizing module 140, and then the data is stored in the unified inverted index structure, so that it is no longer necessary to query corresponding data from the databases in different query manners according to the storage formats of different databases; meanwhile, the inverted index takes the attribute value as key (which is collectively referred to as inverted index item name herein) and takes the commodity list with the attribute value as value (which is collectively referred to as inverted index item value herein), so that efficient query can be facilitated, and particularly, the query efficiency can be greatly improved for commodities with multi-value attributes.
For example, some commodities belong to both category a and category B, when a demand for inquiring commodities whose category is a but does not include category B is met, the category attribute of each commodity needs to be inquired first, then commodities whose categories are a but not B are screened out, and converted into an inverted index, that is, commodity category a is used as an inverted index entry name, one group of commodity lists is provided, commodity category B is used as an inverted index entry name, another group of commodity lists is provided, and for the same inquiry demand, only commodities in a commodity list corresponding to category B are listed from a commodity list corresponding to category a.
The data integration module 150 is connected to the inverted index organization module 140 and the service data module 120, and is configured to perform data fusion processing on the service data provided by the inverted index and service data module to obtain an object sorting result. For example, after the commodities of category a but not category B are found from the inverted index, the commodities are sorted according to the description texts of the commodities in the inverted index and the stocks of the commodities in the service data, and the commodities with high text relevance and sufficient stocks are sorted in front.
And the data integration module 150 is further connected to the query interface 130, and configured to feed back a query result to the query interface according to the object sorting result, and the query interface feeds back the query result to the front-end page for presentation to the user.
According to the information search system provided by the embodiment, the inverted index organization module in the search system organizes data in various databases and then converts the data into the inverted index structure, and by unifying the data structure into the inverted index structure, corresponding data do not need to be inquired from the databases in different inquiry modes according to storage formats of different databases, so that inquiry can be facilitated, and meanwhile, the inquiry efficiency can be improved; and the data integration module in the search system can fuse the inverted index and the service data to obtain the basic information of the comprehensive object and the sequencing result of the service data, so that the sequencing reasonability and accuracy are improved.
Fig. 2 shows a functional block diagram of an information search system according to another embodiment of the present invention. As shown in fig. 2, unlike fig. 1, in this embodiment, the various databases 110 include: a relational database 211, a key-value database 212, and/or a text file repository 213. Wherein, for each commodity, if the attribute value is multiple, it can be stored in a one-to-many or many-to-many table structure by the relational database storage, fig. 3a shows a one-to-many table structure diagram in a specific example of the present invention, and fig. 3b shows a many-to-many table structure diagram in a specific example of the present invention. And the key value database is a key-value database, and different from the inverted index, the key value database takes the commodity as a key and the commodity attribute as a value. It should be noted that, in the implementation, the various databases 110 are not limited to the three listed in fig. 2, and one skilled in the art may add or delete one or more databases according to the storage requirement of the actual data, for example, the various databases further include a map data structure.
And, in this embodiment, the business data module 120 includes a third party data module 221, a search server 222, and/or a configuration management module 223. Stored in the third-party data module 221 may be third-party data associated with the operation of the platform, for example, inventory of goods required to be provided by a third party. And, the search server 222 may be a server such as solr or ES, and stores a large amount of service data supporting the operation of the platform. And, mainly the data source configuration information and the service parameter configuration information, which will affect the fusion, are stored in the configuration management module 223.
Fig. 4 shows a flowchart of an information searching method provided by an embodiment of the present invention. The method is implemented based on the information search system in the foregoing. As shown in fig. 4, the method comprises the steps of:
step S410: and converting the data in the various databases into the inverted index taking the attribute value as the name of the inverted index item.
The inverted index organization module organizes data in various databases into a uniform inverted index structure, and includes using an attribute value as an inverted index item name, and regarding any attribute value, using object information with the attribute value as an inverted index item value corresponding to the inverted index item name, where the object information may be one or more information items, and in terms of a commodity, the object information at least includes a commodity name, a commodity description and a commodity picture.
FIG. 5 illustrates a diagram of an inverted index in one particular example of the invention. As shown in fig. 5, the names of the inverted index items are categories, for example, category a and category B, and the values of the inverted index items are commodity information, for example, commodity identifications, of the commodities participating in the event.
Step S420: and performing data fusion processing on the inverted index and the service data provided by the service data module to obtain an object sequencing result.
The business data comprises inventory data, activity data, sales data and/or configuration data, wherein the inventory data refers to the residual inventory of the object provided by the third-party data module; activity data refers to online sales activities provided by the configuration management module, e.g., dueleven; the sales data refers to sales amount and/or sales data of the object provided by the search server; configuration data refers to configuration information provided by a configuration management module.
In some optional embodiments, a fusion function is determined according to the object class and/or site information, and accordingly, when the fusion processing is performed to obtain an object sorting result, the data fusion processing is performed on the inverted index and the service data according to the fusion function to obtain the object sorting result.
In the above optional embodiment, corresponding fusion functions are set for various object categories and/or site information, and the fusion functions specify attribute dimensions and/or service data dimensions used for fusion calculation and specify a fusion mode of the dimensions. For example, for different categories, besides the text description of the product in the inverted index and/or the correlation between the product name and the search condition, some categories also need to consider the inventory of the product, some categories also need to consider sales data, and so on, different aggregation functions can be determined accordingly. The score values of the commodities can be calculated through the aggregation function, and then sorting can be carried out according to the score values.
In the above optional embodiment, for the cross-border e-commerce platform, the sites refer to different oriented countries or regions, and when performing data fusion sorting, sorting needs to be performed for the corresponding countries and/or regions, so that the sorting result is more reasonable.
Step S430: and feeding back the query result to the query interface according to the object sorting result.
In general, a search condition is provided to a system by an inquiry interface, related commodities are determined by the system according to the search condition, then a sorting result of the related commodities is obtained through data fusion processing, and commodity information of a preset number, namely the inquiry result, is fed back to the inquiry interface according to the sequence from front to back, so as to be displayed on a front-end page.
According to the information searching method provided by the embodiment, data in various databases are converted into the inverted index taking the attribute value as the name of the inverted index item, so that data query can be performed subsequently, and the query efficiency is improved; and performing data fusion processing on the service data provided by the inverted index and service data module to obtain an object sorting result, and fusing the inverted index and the service data for sorting, so that the reasonability and the accuracy of the sorting result can be improved; and finally, feeding back the query result to the query interface according to the object sorting result, thereby realizing the quick and accurate feed-back of the query result to the front end.
An embodiment of the present invention provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute the information search method in any method embodiment described above.
Fig. 6 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and a specific embodiment of the present invention does not limit a specific implementation of the computing device.
As shown in fig. 6, the computing device may include: a processor (processor)602, a communication Interface 604, a memory 606, and a communication bus 608.
Wherein: the processor 602, communication interface 604, and memory 606 communicate with one another via a communication bus 608. A communication interface 604 for communicating with network elements of other devices, such as clients or other servers. The processor 602 is configured to execute the program 610, and may specifically perform relevant steps in the above-described embodiment of the information search method for a computing device.
In particular, program 610 may include program code comprising computer operating instructions.
The processor 602 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 606 for storing a program 610. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may specifically be configured to cause the processor 602 to perform the following operations:
converting data in various databases into an inverted index taking an attribute value as an inverted index item name;
performing data fusion processing on the inverted index and the service data provided by the service data module to obtain an object sorting result;
and feeding back a query result to a query interface according to the object sorting result.
In an alternative, the program 610 further causes the processor 602 to:
and regarding any attribute value, taking the object information with the attribute value as an inverted index item value corresponding to the inverted index item name.
In an alternative, the program 610 further causes the processor 602 to:
determining a fusion function according to the object class and/or the site information;
and performing data fusion processing on the inverted index and the service data according to the fusion function to obtain an object sequencing result.
In an alternative, the business data includes inventory data, activity data, sales data, and/or configuration data.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of embodiments of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best modes of embodiments of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, the claimed embodiments of the invention require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. Embodiments of the invention may also be implemented as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing embodiments of the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (9)
1. An information search system comprising: the system comprises a plurality of databases, a service data module and an inquiry interface; the system also comprises an inverted index organization module and a data integration module; wherein the content of the first and second substances,
the inverted index organization module is connected with various databases and is used for converting data in the various databases into inverted indexes taking attribute values as names of inverted index items;
the data integration module is connected with the inverted index organization module and the service data module and is used for carrying out data fusion processing on the service data provided by the inverted index and service data module to obtain an object sorting result; and the number of the first and second groups,
and the data integration module is also connected with the query interface and used for feeding back the query result to the query interface according to the object sorting result.
2. The system of claim 1, wherein the plurality of databases comprises: a relational database, a key-value database, and/or a text file repository.
3. The system of claim 1 or 2, wherein the business data module comprises a third party data module, a search server and/or a configuration management module.
4. An information search method implemented based on the information search system of any one of claims 1 to 3, comprising:
converting data in various databases into an inverted index taking an attribute value as an inverted index item name;
performing data fusion processing on the inverted index and the service data provided by the service data module to obtain an object sorting result;
and feeding back a query result to a query interface according to the object sorting result.
5. The method of claim 4, wherein said converting data in the plurality of databases into an inverted index having attribute values as inverted index item names further comprises:
and regarding any attribute value, taking the object information with the attribute value as an inverted index item value corresponding to the inverted index item name.
6. The method of claim 4 or 5, wherein the method further comprises: determining a fusion function according to the object class and/or the site information;
the data fusion processing of the inverted index and the service data provided by the service data module to obtain the object sorting result further comprises: and performing data fusion processing on the inverted index and the service data according to the fusion function to obtain an object sequencing result.
7. The method of claim 6, wherein the traffic data comprises inventory data, activity data, sales data, and/or configuration data.
8. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the information searching method according to any one of claims 4-7.
9. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the information search method according to any one of claims 4 to 7.
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