CN110543491A - Search method, search device, electronic equipment and computer-readable storage medium - Google Patents
Search method, search device, electronic equipment and computer-readable storage medium Download PDFInfo
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- CN110543491A CN110543491A CN201910719488.6A CN201910719488A CN110543491A CN 110543491 A CN110543491 A CN 110543491A CN 201910719488 A CN201910719488 A CN 201910719488A CN 110543491 A CN110543491 A CN 110543491A
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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
- G06F16/2455—Query execution
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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
- G06F16/248—Presentation of query results
Abstract
The disclosure discloses a search method, which is characterized by comprising the following steps: determining a second search item corresponding to a search word from the first search item according to the tag information of the first search item; sending the second search term; receiving input information corresponding to a third search term of the second search terms; acquiring first label information of the third search item, wherein the first label information corresponds to the search terms; and increasing the weight of the first label information. According to the searching method, the searching device, the electronic equipment and the computer readable storage medium, the weight of the label information of the search item corresponding to the input information can be changed according to the received input information, such as click input information of a user on the search item in the search result, so that the label information of the search item can be accurately indexed through higher weight, and the searching accuracy is improved.
Description
Technical Field
the present disclosure relates to the field of information processing, and in particular, to a search method, an apparatus, an electronic device, and a computer-readable storage medium.
background
With the coming of the information age, how to accurately acquire required information from vast information ocean is a main problem to be solved in the field of search.
In the existing search method, a common mode is to index search items through tag information, for example, when a user searches through a search word, similarity between the search item and the search word is calculated according to the tag information of the search item, the search items are ranked according to the similarity and displayed to the user, and the user can browse interested search items in detail through operations such as clicking.
However, the information amount in the information era is always in an explosive growth state, accordingly, the number of search items is huge, new search items can be generated at any moment, the indexing of the label information for the search items through manpower has the advantage of high accuracy, the indexing is performed on the search items with the large number, the cost is also huge, the indexing is performed on the search items through a computer according to artificial intelligence algorithm and other modes, and the indexed label information is not accurate enough, so that the defect of low search accuracy is caused.
disclosure of Invention
in view of the foregoing drawbacks, embodiments of the present disclosure provide a search method, an apparatus, an electronic device, and a computer-readable storage medium, which are capable of changing a weight of tag information of a search item corresponding to received input information, for example, click input information of a user on the search item in a search result, so as to implement accurate indexing of the tag information of the search item through a higher weight, thereby improving search accuracy.
In a first aspect, an embodiment of the present disclosure provides a search method, including: determining a second search item corresponding to a search word from the first search item according to the tag information of the first search item; sending the second search term; receiving input information corresponding to a third search term of the second search terms; acquiring first label information of the third search item, wherein the first label information corresponds to the search terms; and increasing the weight of the first label information.
In a second aspect, an embodiment of the present disclosure provides a search apparatus, including: the determining module is used for determining a second search item corresponding to a search word from the first search item according to the label information of the first search item; a sending module, configured to send the second search term; a receiving module, configured to receive input information, where the input information corresponds to a third search term in the second search terms; an obtaining module, configured to obtain first tag information of the third search term, where the first tag information corresponds to the search term; and the weight changing module is used for improving the weight of the first label information.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a memory for storing computer readable instructions; and one or more processors coupled with the memory for executing the computer readable instructions, such that the processors when executed implement the search method of any of the preceding first aspects.
in a fourth aspect, the present disclosure provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, which when executed by a computer, cause the computer to perform the search method of any one of the foregoing first aspects.
The disclosure discloses a search method, a search device, an electronic device and a computer-readable storage medium. The search method is characterized by comprising the following steps: determining a second search item corresponding to a search word from the first search item according to the tag information of the first search item; sending the second search term; receiving input information corresponding to a third search term of the second search terms; acquiring first label information of the third search item, wherein the first label information corresponds to the search terms; and increasing the weight of the first label information. According to the searching method, the searching device, the electronic equipment and the computer readable storage medium, the weight of the label information of the search item corresponding to the input information can be changed according to the received input information, such as click input information of a user on the search item in the search result, so that the label information of the search item can be accurately indexed through higher weight, and the searching accuracy is improved.
The foregoing is a summary of the present disclosure, and for the purposes of promoting a clear understanding of the technical means of the present disclosure, the present disclosure may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a flowchart of an embodiment of a search method provided in an embodiment of the present disclosure;
FIG. 2 is a flow diagram illustrating an alternative implementation of determining a search term corresponding to a search term based on tag information of the search term provided by an embodiment of the present disclosure;
FIG. 3 is a flow chart of an alternative embodiment of a search method provided by an embodiment of the present disclosure;
Fig. 4 is a schematic structural diagram of an embodiment of a search apparatus provided in the present disclosure;
Fig. 5 is a schematic structural diagram of an electronic device provided according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
it should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
it should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
it is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
the search method provided by the embodiment may be executed by a search apparatus, which may be implemented as software, may be implemented as hardware, or may be implemented as a combination of software and hardware, for example, the search includes a computer device, so that the search method provided by the embodiment of the present disclosure is executed by the computer device.
fig. 1 is a flowchart of an embodiment of a search method provided in an embodiment of the present disclosure, where the search method provided in the embodiment of the present disclosure may be executed by the search apparatus.
as shown in fig. 1, the search method of the embodiment of the present disclosure includes the following steps:
Step S101, determining a second search item corresponding to a search word from first search items according to tag information of the first search items;
In step S101, the search apparatus may determine a second search term corresponding to a search word from first search terms according to tag information of the first search terms. As will be appreciated by those skilled in the art, the process of entering search terms, which may also be referred to as query, in a search interface of a search engine to query for relevant search terms is the process of searching. Optionally, the second search term corresponds to the search term, and it may be understood that the search result of the search term provided by the search apparatus includes the second search term.
As an example, but not limited to the embodiment of the present disclosure, for example, a user inputs the search term through a search interface provided by a user device, and after the search term is acquired, the search apparatus determines, according to tag information of a first search term maintained by the search apparatus, a second search term related to the search term from the maintained first search terms according to a preset algorithm. The first search item maintained by the search device includes tag information, for example, a news link search item included in the first search item, whose news content describes "cat and dog war", and the tag information included in the news link search item can be determined for the news link search item through an artificial intelligence algorithm, a semantic recognition analysis algorithm, or the like, including: the "cat", "dog", "hardy dog" (the dog in the "cat dog wars" is described as "hardy dog") in the news link, and "battle", the tag information of the first search item may be further processed by classification clustering, and/or clustering algorithm, etc. to remove tag information with repeated meaning, for example, the tag information of the "dog" and "hardy dog" in the above news link search item after being processed will be merged into one, i.e., "dog". It should be noted that, in the process of the above example, technologies for crawling, maintaining and storing search items, indexing technologies for determining tag information for search items, search technologies for determining search items corresponding to search terms according to tag information of search items, and the like may be involved, and those skilled in the art may understand that any existing or future related technologies may be applied to the embodiments of the present disclosure, and the present disclosure is not limited thereto.
Step S102, sending the second search item;
In step S102, the search means transmits the second search term acquired in step S101. For example, the search apparatus includes a server, the server determines the search result of the search word, i.e. the second search item, in step S101, then, in step S102, the server may send the second search item to the user equipment, through which the user inputs the search word, so as to display the search result, i.e. display the second search item, wherein the way of sending the second search item may adopt the existing or future corresponding technology of editing and sending the search result, which is not limited by the embodiment of the present disclosure, and a person skilled in the art may understand that the second search item sent by the search equipment may be ordered so as to display a more accurate search result on the user equipment, which may involve an ordering process of the search result, i.e. the second search item, any click model or ranking model associated with the search result ranking process can be applied to the embodiments of the present disclosure, and the present disclosure is not limited thereto.
Step S103, receiving input information, wherein the input information corresponds to a third search item in the second search items;
In step S103, the search apparatus receives input information corresponding to a third search term of the second search terms. For example, for the second search term displayed in step S102, the user selects one or more search terms from the second search term through an input device, the input device may generate the input information corresponding to the one or more search terms selected by the user, and the search device receives the input information in step S103, in this example, the input information corresponds to a third search term in the second search term, including the third search term that the input information indicates the user selected and/or clicked in the second search term. Wherein the search means may include the input means so as to receive the input information after the user makes an input through the input means; the search device may not include the input device, for example, the search device includes a server, the server displays the second search item on a display device of a terminal device used by the user, the terminal device further includes an input device, when the user inputs through the input device, the input device generates the input information and transmits the input information to the server through a network, and accordingly, the server receives the input information and can determine the third search item selected by the user according to the input information.
Step S104, acquiring first label information of the third search item, wherein the first label information corresponds to the search terms;
In step S103, the search apparatus receives input information corresponding to the third search term, so that the third search term can be determined according to the input information, and then in step S104, first tag information of the third search term, that is, the first tag information corresponding to the search term of the third search term, can be acquired. Wherein the first tag information corresponds to the search term, which may mean that the first tag information is related to the search term, or that the first tag information matches the search term, for example, the degree of correlation and/or the degree of matching of the first tag information to the search term, which are calculated by an existing or future correlation calculation method and/or matching calculation method, are greater than a preset threshold, so that the first tag information is considered to correspond to, be related to, and/or match the search term; or judging that the first label information and the search word belong to the same category or have the same and/or similar semantics according to an existing or future artificial intelligence algorithm and/or a semantic recognition algorithm, and considering that the first label information corresponds to or is related to the search word.
In an alternative embodiment, a: for the case where the first tag information is included in the tag information of the third search term, the search apparatus will acquire the first tag information from the tag information of the third search term in step S104. In the above case a, for example, for one of the third search terms, which includes a plurality of tag information, as one example, the search apparatus will calculate the similarity between the plurality of tag information and the search term according to various existing or future calculation methods, and use the tag information with the highest similarity as the first tag information of the third search term, as another example, the search apparatus will classify and/or cluster the plurality of tag information according to a classification algorithm and/or a clustering algorithm, then apply the classification and/or clustering method to the search term, and if the search term is successfully assigned to the category in which the corresponding tag information is located, use the corresponding tag information as the first tag information of the third search term. B: in the case where the tag information of the third search term does not include the first tag information, in step S104, the search apparatus acquires an associated tag of the search term, and takes the associated tag as the first tag information. In the above case B, for example, for one of the third search terms, which includes a plurality of tag information, as an example, the search apparatus determines that the plurality of tag information does not include tag information related to the search word (for example, none of the similarity of the plurality of tag information to the search word reaches a preset threshold, or the search word cannot be classified into a classification and/or clustering result of the plurality of tag information), the search apparatus acquires an associated tag of the search word, which includes, for example, a word having the same meaning as or (very) similar meaning to the search word according to a semantic algorithm, and takes the associated tag as the first tag information, so that the first tag information corresponds to the search word.
And step S105, increasing the weight of the first label information.
In step S105, the search means increases the weight for the first tag information of the third search term acquired in step S104. In an embodiment of the present disclosure, the tag information of the first search item crawled, maintained, and/or stored by the search apparatus includes a weight, and the weight includes a number, a score, or sequence information. For example, for each tag information of one search item in the first search items, the initial weight may be all digital 0, or sequence information may be given to each tag information in a random manner in an initial state; for example, for each tag information of one search item in the first search item, a relevance between each tag information and the search item may be determined by an artificial intelligence algorithm, a semantic recognition analysis algorithm, or the like, and an initial weight may be given to each tag information based on the relevance.
As an example, for the third search term in step S103, for example, the weight of each tag information is number 0, for the case a in the foregoing alternative embodiment, if some tag information is obtained as the first tag information in step S104, in step S105, the search apparatus increases the weight of the first tag information from the original number 0 by number 1, and for the case B in the foregoing alternative embodiment, if each tag information of the third search term does not include the first tag information corresponding to the search word, the associated tag of the search word is obtained, the associated tag is taken as the first tag information, and the weight of the first tag information is directly assigned to 1. As yet another example, for the third search term in step S103, for example, a plurality of tag information thereof is randomly ordered, for the case a in the aforementioned alternative embodiment, if some tag information is acquired as the first tag information in step S104, then in step S105, the searching apparatus advances the order of the first tag information (e.g. 1 bit ahead, if it is already the 1 st bit, then it remains unchanged), for case B in the foregoing alternative embodiment, if each tag information of the third search term does not include the first tag information corresponding to the search term, acquiring the associated tag of the search term, using the associated tag as the first tag information, and inserting the first tag information into a randomly ordered sequence (for example, arranging the first tag information at an arbitrary position of the original sequence).
it is noted that, in the embodiments of the present disclosure, a person skilled in the art may define the weight as high or low. For example, the weight includes a number or a score, it may be defined that the greater the number or the score, the higher the weight, then in step S105, increasing the weight of the first tag information means increasing the number or the score of the first tag information; it may also be defined that the smaller the number or score is, the higher the weight is, and then in step S105, increasing the weight of the first tag information means decreasing the number or score of the first tag information. Similarly, for example, the weight includes order information, and the weight may be defined to be higher as the order is earlier, or may be defined to be higher as the order is later.
In the embodiment of the disclosure, the search item selected by the user in the search result given by the search device is determined by receiving the input information, and the weight of the first tag information of the selected search item corresponding to the search word generating the search result is increased, so as to realize accurate indexing of the tag information of the search item by higher weight.
Fig. 2 shows a step S101 provided in the embodiment of the present disclosure: a flow diagram of one alternative embodiment for determining a second search term from a first search term that corresponds to a search term based on tag information of the first search term.
As shown in fig. 2, in this alternative embodiment, the step S101: determining a second search item corresponding to a search word from the first search item according to the tag information of the first search item, comprising:
s201: determining second tag information from the tag information of the first search item, wherein the weight of the second tag information is greater than or equal to a first preset weight;
S202: determining the second search item corresponding to the search word from the first search item according to the second tag information of the first search item.
In step S201, the search means determines second tag information having a weight greater than a first preset weight from the tag information of the first search item, or, the search means determines second tag information having a weight greater than or equal to a first preset weight from the tag information of the first search term, then, in step S202, the search means determines the second search term corresponding to the search word from the first search term according to the second tag information of the first search term, that is, in step S202, the search means determines a search result according to only the high-weight tag information of the first search item when determining the search result of the search word from the first search item, regardless of label information whose weight is less than or equal to (or less than) the first preset weight. In the above-mentioned alternative embodiment, for example, the weight of the tag information of one search term in the first search term includes a number or a score, and the higher the number or the score is, the higher the weight is, then the tag information of the one search term whose weight is greater than or equal to the first preset weight is taken as the second tag information in step S201; also for example, the weight of the tag information of one of the first search terms includes order information, and the higher the order, the higher the weight, the tag information of the one search term that is in the order before the first preset weight is taken as the second tag information in step S201 (for example, the tag information of the one search term is arranged as "cat", "dog", and "battle" in the order information, and when the first preset weight is an order value of 2, it is determined whether the one search term can be used as the search result of the search term only based on "cat" and "dog"). As described above, the search method provided by the embodiment of the present disclosure can increase the weight of the tag information more relevant to the search term, so that in the above optional embodiments, the search result is determined from the first search term only according to the tag information with higher weight, so that the search accuracy is higher.
Fig. 3 is a flow chart illustrating an alternative embodiment of a search method provided by the present disclosure.
As shown in fig. 3, in this alternative embodiment, in addition to steps S101 to S105 provided by the embodiment of the present disclosure, at step S105: after increasing the weight of the first tag information, the method further comprises:
Step S301: determining third tag information from the tag information of the first search item, wherein the weight of the third tag information is less than or equal to a second preset weight;
step S302: and deleting the third label information.
in step S301, the search apparatus determines third tag information with a weight less than a second preset weight from the tag information of the first search item, or determines third tag information with a weight less than or equal to a second preset weight from the tag information of the first search item, and then deletes the third tag information in step S302, so that the first search item will not include tag information with a lower weight, when the search apparatus performs the search step later, for example, the search result of the search word is determined from the first search item, according to which the weights of the tag information of the first search item are all higher weights, and a higher weight means that the search word is more relevant, so that the search precision is higher.
As an alternative embodiment, the search for the first search term of the present disclosure includes a video search term, an audio search term, and/or an image search term. Optionally, the tag information of the video search item, the audio search item, and/or the image search item is related to content information of the video search item, the audio search item, and/or the image search item, wherein the content information is obtained by identifying the video search item, the audio search item, and/or the image search item through an artificial intelligence algorithm. The image content information of the image search term can be identified, for example, by means such as a convolutional neural network classifier whose output indicates the content information of the image, for example, indicating that a dog, a building, a person, etc. are drawn in the image. Optionally, the content information is used as tag information of the video search item, the audio search item, and/or the image search item, for example, for an image in which a dog is drawn, "dog" is used as tag information of the image search item.
As yet another alternative embodiment, the video search term, the audio search term, and/or the image search term are associated with textual information; before the determining, from the first search term, a second search term corresponding to a search term according to tag information of the first search term, the method further includes: determining keywords from the text information; and taking the keywords as the label information of the video search item, the audio search item and/or the image search item. In this further alternative embodiment, taking the example that the first search term includes a video search term, the form of the video search term includes, for example, a video link, the video link includes a video object and also includes text information describing the video object, so that the video search term is associated with text information describing the video object, as an example, a keyword may be determined from text information describing the video object in the video link by an artificial intelligence algorithm and/or a semantic analysis algorithm, and the keyword is used as tag information of the video search term.
fig. 4 is a schematic structural diagram of an embodiment of a search apparatus 400 provided in the present disclosure, and as shown in fig. 4, the search apparatus 400 includes a determining module 401, a sending module 402, a receiving module 403, an obtaining module 404, and a weight changing module 405.
the determining module 401 is configured to determine, according to tag information of a first search term, a second search term corresponding to a search term from the first search term; the sending module 402, configured to send the second search term; the receiving module 403 is configured to receive input information, where the input information corresponds to a third search term in the second search terms; the obtaining module 404 is configured to obtain first tag information of the third search term, where the first tag information corresponds to the search term; the weight changing module 405 is configured to increase the weight of the first tag information.
The apparatus shown in fig. 4 may perform the method of the embodiment shown in fig. 1, fig. 2, and/or fig. 3, and for parts of this embodiment not described in detail, reference may be made to the related description of the embodiment shown in fig. 1, fig. 2, and/or fig. 3. The implementation process and technical effect of the technical solution are described in the embodiments shown in fig. 1, fig. 2, and/or fig. 3, and are not described herein again.
referring now to FIG. 5, a block diagram of an electronic device 500 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus or a communication line 504. An input/output (I/O) interface 505 is also connected to the bus or communication line 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 501.
it should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the search method in the above embodiments.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
the units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
the functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, there is provided a search method including: determining a second search item corresponding to a search word from the first search item according to the tag information of the first search item; sending the second search term; receiving input information corresponding to a third search term of the second search terms; acquiring first label information of the third search item, wherein the first label information corresponds to the search terms; and increasing the weight of the first label information.
Further, the determining a second search item corresponding to the search term from the first search item according to the tag information of the first search item includes: determining second tag information from the tag information of the first search item, wherein the weight of the second tag information is greater than or equal to a first preset weight; determining the second search item corresponding to the search word from the first search item according to the second tag information of the first search item.
further, after the increasing the weight of the first tag information, the method further includes: determining third tag information from the tag information of the first search item, wherein the weight of the third tag information is less than or equal to a second preset weight; and deleting the third label information.
further, the obtaining first tag information of the third search term, where the first tag information corresponds to the search term, includes: for the condition that the tag information of the third search item comprises the first tag information corresponding to the search word, acquiring the first tag information from the tag information of the third search item; and for the condition that the tag information of the third search item does not include the first tag information corresponding to the search word, acquiring an associated tag of the search word, and taking the associated tag as the first tag information.
Further, the first search term includes a video search term, an audio search term, and/or an image search term.
Further, the tag information of the video search item, the audio search item, and/or the image search item is related to the content information of the video search item, the audio search item, and/or the image search item, wherein the content information is obtained by identifying the video search item, the audio search item, and/or the image search item through an artificial intelligence algorithm.
Further, the video search term, the audio search term, and/or the tag information of the image search term is related to the content information of the video search term, the audio search term, and/or the image search term, including: using the content information as tag information for the video search term, the audio search term, and/or the image search term.
further, the video search term, the audio search term, and/or the image search term are associated with text information; before the determining, from the first search term, a second search term corresponding to a search term according to tag information of the first search term, the method further includes: determining keywords from the text information; and taking the keywords as the label information of the video search item, the audio search item and/or the image search item.
According to one or more embodiments of the present disclosure, there is provided a search apparatus including: the determining module is used for determining a second search item corresponding to a search word from the first search item according to the label information of the first search item; a sending module, configured to send the second search term; a receiving module, configured to receive input information, where the input information corresponds to a third search term in the second search terms; an obtaining module, configured to obtain first tag information of the third search term, where the first tag information corresponds to the search term; and the weight changing module is used for improving the weight of the first label information.
Further, the determining module is further configured to: determining second tag information from the tag information of the first search item, wherein the weight of the second tag information is greater than or equal to a first preset weight; determining the second search item corresponding to the search word from the first search item according to the second tag information of the first search item.
Further, the determining module is further configured to: determining third tag information from the tag information of the first search item, wherein the weight of the third tag information is less than or equal to a second preset weight; and deleting the third label information.
Further, the obtaining module is further configured to: for the condition that the tag information of the third search item comprises the first tag information corresponding to the search word, acquiring the first tag information from the tag information of the third search item; and for the condition that the tag information of the third search item does not include the first tag information corresponding to the search word, acquiring an associated tag of the search word, and taking the associated tag as the first tag information.
further, the first search term includes a video search term, an audio search term, and/or an image search term.
Further, the tag information of the video search item, the audio search item, and/or the image search item is related to the content information of the video search item, the audio search item, and/or the image search item, wherein the content information is obtained by identifying the video search item, the audio search item, and/or the image search item through an artificial intelligence algorithm.
Further, the video search term, the audio search term, and/or the tag information of the image search term is related to the content information of the video search term, the audio search term, and/or the image search term, and the determining module is further configured to: using the content information as tag information for the video search term, the audio search term, and/or the image search term.
further, the video search term, the audio search term, and/or the image search term are associated with text information; the determination module is further to: determining keywords from the text information; and taking the keywords as the label information of the video search item, the audio search item and/or the image search item.
According to one or more embodiments of the present disclosure, there is provided an electronic device including: a memory for storing computer readable instructions; and one or more processors coupled with the memory for executing the computer readable instructions, such that the processors when executed implement the search method of any of the preceding first aspects.
According to one or more embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium characterized in that the non-transitory computer-readable storage medium stores computer instructions that, when executed by a computer, cause the computer to perform the search method of any of the foregoing first aspects.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (11)
1. A method of searching, comprising:
Determining a second search item corresponding to a search word from the first search item according to the tag information of the first search item;
Sending the second search term;
Receiving input information corresponding to a third search term of the second search terms;
Acquiring first label information of the third search item, wherein the first label information corresponds to the search terms;
And increasing the weight of the first label information.
2. the method according to claim 1, wherein the determining a second search term corresponding to a search term from the first search term according to the tag information of the first search term comprises:
Determining second tag information from the tag information of the first search item, wherein the weight of the second tag information is greater than or equal to a first preset weight;
determining the second search item corresponding to the search word from the first search item according to the second tag information of the first search item.
3. The search method of claim 1, wherein after the increasing the weight of the first tag information, the method further comprises:
Determining third tag information from the tag information of the first search item, wherein the weight of the third tag information is less than or equal to a second preset weight;
and deleting the third label information.
4. The search method according to any one of claims 1 to 3, wherein the obtaining of the first tag information of the third search term, the first tag information corresponding to the search term, includes:
for the condition that the tag information of the third search item comprises the first tag information corresponding to the search word, acquiring the first tag information from the tag information of the third search item;
And for the condition that the tag information of the third search item does not include the first tag information corresponding to the search word, acquiring an associated tag of the search word, and taking the associated tag as the first tag information.
5. The search method of claim 4, wherein the first search term comprises a video search term, an audio search term, and/or an image search term.
6. The searching method according to claim 5, wherein tag information of the video searching item, the audio searching item, and/or the image searching item is related to content information of the video searching item, the audio searching item, and/or the image searching item, wherein the content information is obtained by identifying the video searching item, the audio searching item, and/or the image searching item through an artificial intelligence algorithm.
7. The method of claim 6, wherein the video search term, the audio search term, and/or the image search term having tag information related to the video search term, the audio search term, and/or the image search term having content information, comprises:
Using the content information as tag information for the video search term, the audio search term, and/or the image search term.
8. The search method of claim 5, wherein the video search term, the audio search term, and/or the image search term are associated with textual information;
Before the determining, from the first search term, a second search term corresponding to a search term according to tag information of the first search term, the method further includes:
Determining keywords from the text information;
and taking the keywords as the label information of the video search item, the audio search item and/or the image search item.
9. a search apparatus, comprising:
The determining module is used for determining a second search item corresponding to a search word from the first search item according to the label information of the first search item;
a sending module, configured to send the second search term;
A receiving module, configured to receive input information, where the input information corresponds to a third search term in the second search terms;
An obtaining module, configured to obtain first tag information of the third search term, where the first tag information corresponds to the search term;
And the weight changing module is used for improving the weight of the first label information.
10. an electronic device, comprising:
A memory for storing computer readable instructions; and
A processor for executing the computer readable instructions such that the processor when executing implements the search method of any of claims 1-8.
11. A non-transitory computer-readable storage medium storing computer-readable instructions that, when executed by a computer, cause the computer to perform the search method of any one of claims 1-8.
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