CN111782895B - Retrieval processing method and device, readable medium and electronic equipment - Google Patents
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Abstract
The present disclosure relates to a retrieval processing method, a retrieval processing device, a readable medium and an electronic device, wherein the retrieval processing method includes: receiving search information, wherein the search information comprises a plurality of first characters; searching according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters; for each character number in a plurality of preset character numbers, acquiring a plurality of first character strings corresponding to the character number from the search information, and acquiring a plurality of second character strings corresponding to the character number from the target content; for each character number, matching each first character string corresponding to the character number with each second character string corresponding to the character number one by one; and determining the correlation degree between the retrieval information and the target content according to the matching result. Through the technical scheme, the finally determined correlation degree between the retrieval information and the target content is more accurate, and therefore an accurate basis is provided for judging whether the target content accords with the retrieval intention of a user.
Description
Technical Field
The present disclosure relates to the field of search, and in particular, to a search processing method, apparatus, readable medium, and electronic device.
Background
In the search field, a search is generally performed based on search information such as a search term or a search sentence input by a user to obtain a corresponding search result. The correlation degree between the search result and the search information input by the user can reflect whether the search result accords with the search intention of the user. The higher the correlation between the search result and the search information is, the more the search result accords with the search intention of the user. In the related art, word granularity matching is usually performed between the search information and the search result to determine the correlation between the search information and the search result, however, the word granularity matching mode has lower accuracy in determining the correlation between the search result and the search information, and cannot accurately reflect the correlation degree between the search result and the search information.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In a first aspect, the present disclosure provides a retrieval processing method, the method including: receiving search information, wherein the search information comprises a plurality of first characters; searching according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters; for each of a plurality of preset character numbers, acquiring a plurality of first character strings corresponding to the character number from the search information, and acquiring a plurality of second character strings corresponding to the character number from the target content, wherein each first character string comprises a plurality of continuous first characters, each second character string comprises a plurality of continuous second characters, and each character number is smaller than the minimum value of the total number of the first characters and the total number of the second characters; for each character number, matching each first character string corresponding to the character number with each second character string corresponding to the character number one by one; and determining the correlation degree between the retrieval information and the target content according to the matching result.
In a second aspect, the present disclosure provides a retrieval processing apparatus, the apparatus comprising: a receiving module configured to receive search information, wherein the search information includes a plurality of first characters; a search module configured to search according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters; an acquisition module configured to acquire, for each of a plurality of preset character numbers, a plurality of first character strings corresponding to the character number from the search information, and a plurality of second character strings corresponding to the character number from the target content, wherein each of the first character strings includes a first character number that is continuous, each of the second character strings includes a second character number that is continuous, and each of the character numbers is smaller than a minimum value of a total number of the first characters and a total number of the second characters; a matching module configured to match, for each of the character numbers, each of the first character strings corresponding to the character number with each of the second character strings corresponding to the character number one by one; and the determining module is configured to determine the correlation degree between the retrieval information and the target content according to the matching result.
In a third aspect, the present disclosure provides a computer readable medium having stored thereon a computer program which when executed by a processing device implements the steps of the method provided by the first aspect of the present disclosure.
In a fourth aspect, the present disclosure provides an electronic device comprising: a storage device having a computer program stored thereon; processing means for executing said computer program in said storage means to carry out the steps of the method provided by the first aspect of the present disclosure.
According to the technical scheme, for each character number in the plurality of preset character numbers, each first character string corresponding to the character number can be matched with each second character string corresponding to the character number one by one, and the correlation degree between the retrieval information and the target content is determined according to the matching result. Therefore, compared with a word granularity matching mode in the related art, the matching between characters with finer granularity can be performed, and the matching result is more accurate. And according to a plurality of preset character numbers, matching of character granularity can be carried out on the retrieval information and the target content in an iterative matching mode. By adopting the iterative matching mode, the second character most relevant to each first character can be respectively determined according to the matching result, so that the correlation degree between the finally determined retrieval information and the target content is more accurate, and an accurate basis is provided for judging whether the target content accords with the retrieval intention of the user.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
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The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
In the drawings:
fig. 1 is a flow chart illustrating a retrieval processing method according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating a retrieval processing method according to another exemplary embodiment.
Fig. 3 is a schematic diagram of a first matching matrix, according to an exemplary embodiment.
Fig. 4 is a flow chart illustrating a method of determining relevance of retrieved information to itself, according to an exemplary embodiment.
Fig. 5 is a schematic diagram of a second matching matrix, according to an exemplary embodiment.
Fig. 6 is a block diagram illustrating a retrieval processing device according to an exemplary embodiment.
Fig. 7 is a schematic diagram of an electronic device according to an exemplary embodiment.
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 have been shown in the accompanying 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 are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present 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. Furthermore, 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 "including" and variations thereof as used herein are intended to be 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. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Fig. 1 is a flowchart illustrating a retrieval processing method according to an exemplary embodiment, which is applicable to an electronic device having processing capability, such as a terminal or a server. As shown in fig. 1, the method may include S101 to S105.
In S101, search information is received.
The search information may be a search term, a search sentence, or the like, which is input when the user wants to perform an information query. Wherein the search information may include a plurality of first characters. In this disclosure, a character may include letters, kanji, numbers, or other symbols representing data and information, the character being the smallest unit of data access in a data structure, e.g., one letter may be a character and one kanji may be a character.
In S102, a search is performed based on the search information to obtain target content corresponding to the search information.
In this step, any search method in the related art may be used to search according to the search information and obtain a search result, where the search result is the target content corresponding to the search information. Wherein the target content may include a plurality of second characters. The total number of the first characters and the total number of the second characters may be the same or different, and the present disclosure is not particularly limited.
In an alternative embodiment, the retrieval information entered by the user may be retrieval information for a media file, which may include, for example, an audio file such as a song, a video file such as a music clip, etc. Accordingly, the retrieved target content may be the name of the media file, such as the song name of the song.
In S103, for each of a plurality of preset character numbers, a plurality of first character strings corresponding to the character number are acquired from the search information, and a plurality of second character strings corresponding to the character number are acquired from the target content.
Wherein each first character string can comprise a plurality of continuous first characters, each second character string can comprise a plurality of continuous second characters, and each character number is smaller than the minimum value of the total number of the first characters and the total number of the second characters. The plurality of preset character numbers may be preset, and the present disclosure is not particularly limited. For example, 1 to 5 can be set.
For example, the received search information is gghhjj# & #ghjed, and 14 first characters are used, and the corresponding target content is ghjed# & #gghhjj, and 14 second characters are used. In the following description, taking the search information and the target content as examples, a complete embodiment is used to describe the search processing method provided by the present disclosure. It should be noted that the form of the search information and the target content and the plurality of preset character numbers in this embodiment are only exemplary illustrations, and do not limit the embodiments of the present disclosure.
For example, taking the number of characters as 2 as an example, a plurality of first character strings with the number of characters as 2 may be obtained from the search information, each first character string may include 2 consecutive first characters, and the plurality of first character strings may be gg, gh, hh, hj, jj, j #, # g, gh, hj, je, ed. And acquiring a plurality of second character strings with the number of 2 from the target content, wherein each second character string can comprise 2 continuous second characters, and the plurality of second character strings can be gh, hj, je, ed, d #, #, and #, # g, gg, gh, hh, hj, jj.
The first character string and the second character string corresponding to the other character numbers are similar to the above-mentioned acquisition manner, and are not listed here.
In S104, for each character number, each first character string corresponding to the character number is matched with each second character string corresponding to the character number one by one.
In S105, the correlation between the search information and the target content is determined based on the matching result.
Taking the character number of 2 as an example, matching the first character string with each second character string with the character number of 2 one by one for each first character string with the character number of 2, namely, matching is considered if the characters are consistent, and if the characters are inconsistent, the characters are not matched. For example, for a first string "gg" with a number of characters of 2, if there is a second string that is also "gg", the second string is considered to match the first string.
The first character string and the second character string corresponding to the other character numbers are similar to the matching manner. For example, a first string with a number of characters of 1 is matched with a second string, then a first string with a number of characters of 2 is matched with a second string, and so on. In this way, the present disclosure can perform matching between characters of finer granularity than matching of word granularity in the related art. And according to a plurality of preset character numbers, matching of character granularity can be carried out on the retrieval information and the target content in an iterative matching mode. By means of iterative matching, second characters most relevant to each first character can be determined according to matching results.
For example, for the first character g in the search information, the first character g appears in the target content multiple times, and by means of iterative matching, the ninth character g in the target content, which is most relevant to the first character g, can be determined instead of the first character g and the tenth character g in the target content. Therefore, the second character most relevant to each first character can be determined respectively, the finally determined correlation degree between the retrieval information and the target content can be more accurate, and the correlation degree between the retrieval information and the target content can be more represented.
According to the technical scheme, for each character number in the plurality of preset character numbers, each first character string corresponding to the character number can be matched with each second character string corresponding to the character number one by one, and the correlation degree between the retrieval information and the target content is determined according to the matching result. Therefore, compared with a word granularity matching mode in the related art, the matching between characters with finer granularity can be performed, and the matching result is more accurate. And according to a plurality of preset character numbers, matching of character granularity can be carried out on the retrieval information and the target content in an iterative matching mode. By adopting the iterative matching mode, the second character most relevant to each first character can be respectively determined according to the matching result, so that the correlation degree between the finally determined retrieval information and the target content is more accurate, and an accurate basis is provided for judging whether the target content accords with the retrieval intention of the user.
Fig. 2 is a flowchart illustrating a retrieval processing method according to another exemplary embodiment, and as shown in fig. 2, S105 may include S201 and S202.
In S201, according to the matching result, the target second character most relevant to each first character and the degree of relevance between the first character and the target second character most relevant to the first character are determined from the target content, respectively.
In an alternative embodiment, the target second character most relevant to each first character may be determined separately by establishing a matrix. The retrieval processing method provided by the present disclosure may further include:
the first matching matrix is initialized. The first matching matrix may be a two-dimensional matrix, where one dimension of the first matching matrix is arranged according to the order of the first characters in the search information, and the other dimension is arranged according to the order of the second characters in the target content, and each element in the initialized first matching matrix has the same initial value.
For example, the search information may be taken as a row of the first matching matrix, the target content may be taken as a column of the first matching matrix, or the search information may be taken as a column of the first matching matrix, the target content may be taken as a row of the first matching matrix, and the present disclosure is not particularly limited. As shown in fig. 3, the first matching matrix shown in fig. 3 is illustrated by taking search information as a row of the matrix and taking a target content as a column of the matrix as an example, but is not limited to the embodiment of the present disclosure. Each element in the initialized first matching matrix has the same initial value, which may be, for example, 0.
An exemplary embodiment of this step S201 may be:
first, for each first character string, when the matching result represents that there is a second character string matching the first character string, increasing the element values of the elements corresponding to the first character string and the second character string in the first matching matrix by a preset value so as to update the first matching matrix.
The different numbers of characters may correspond to the same preset value, preferably, the different numbers of characters may correspond to different preset values, and the higher the number of characters, the larger the corresponding preset value may be, so that the increased preset value may reflect the matching degree between the characters.
For example, for a first string with the number of characters being 1, taking the first character g in the search information as an example, which matches the first character g, the ninth character g, and the tenth character g in the target content, the element values of the elements of the first row, the first column, the first row, the ninth column, and the first row, the tenth column of the first matching matrix may be increased by a preset value of 1. Then, the first matching matrix is updated according to the matching result of the second character g in the search information, and so on.
For a first character string with the number of characters being 2, taking the first character string gg as an example, the first character string is matched with a second character string gg formed by a ninth character and a tenth character in the target content, and the element values of elements in a ninth column of a first row and a tenth column of a second row of the first matching matrix can be increased by a preset value of 2.
The updating of the first matching matrix for other numbers of characters may be similar to the above-described manner and will not be described here. For example, the preset value corresponding to the number of characters being 3 may be 3, the preset value corresponding to the number of characters being 4 may be 4, and the preset value corresponding to the number of characters being 5 may be 5. The preset values corresponding to the different character numbers are only exemplary and illustrative, and the preset values are not particularly limited in the disclosure.
After the first matching matrix is updated, determining a target element with the largest element value in the dimension of the first character in the first matching matrix for each first character, determining a second character corresponding to the target element as a target second character most relevant to the first character, and taking the element value of the target element as the correlation degree between the first character and the target second character.
The first matching matrix shown in fig. 3 is a matrix after the update is completed. For example, for the first character g in the search information, the target element with the largest element value in the dimension is the element of the ninth column of the first row, and the second character corresponding to the target element is the ninth character g in the target content. Thus, the first character g in the search information can be determined to be most relevant to the ninth character g in the target content, and the degree of correlation between the two can be 15. For other first characters in the search information and the like, for example, it may be determined that the tenth character g in the target content is most relevant to the second character g in the search information, and the degree of correlation between the two may be 29.
In S202, the correlation between the search information and the target content is determined according to the correlation between the first character and the target second character most relevant thereto.
Illustratively, this step S202 may include:
determining the sum of the correlation degree between each first character and the most relevant target second character as a first correlation degree; and determining the correlation degree between the retrieval information and the target content according to the first correlation degree.
In one embodiment, the first relevance may be regarded as a relevance between the search information and the target content. In another embodiment, the relevance between the search information and the target content can also be determined in combination with the relevance of the search information to itself.
In the present disclosure, when determining the relevance of the search information to itself, the matching of the character granularity may also be performed by the iterative matching method to determine the relevance. Fig. 4 is a flowchart illustrating a method of determining relevance of search information to itself, which may include S401 to S406, as shown in fig. 4, according to an exemplary embodiment.
In S401, a second matching matrix is initialized.
The second matching matrix is a two-dimensional matrix, each dimension of the second matching matrix is arranged according to the sequence of the first characters in the search information, and each element in the initialized second matching matrix has the same initial value. The initial value may be the same as the initial value of the element in the first matching matrix, for example, may be 0. Fig. 5 is a schematic diagram of a second matching matrix, according to an exemplary embodiment.
In S402, for each character number, a plurality of character strings corresponding to the character number are acquired from the search information.
The character string corresponding to the character number can comprise a plurality of continuous first characters. The manner in which the plurality of character strings corresponding to the number of characters is acquired has been described in detail above.
In S403, for each character number, character strings corresponding to the character number are matched with each other. The plurality of character numbers may be the plurality of preset character numbers described above. For example, it may be 1 to 5.
In S404, the element values of the elements at the positions corresponding to the two character strings that match each other are increased by a preset value to update the second matching matrix.
Wherein, different numbers of characters can correspond to different preset values, and the higher the number of characters, the larger the corresponding preset value can be. Also, the increased preset value may be consistent with when the first matching matrix is updated, i.e., the corresponding preset value may be 1 when the number of characters is 1, the corresponding preset value may be 2 when the number of characters is 2, and so on.
For example, taking the number of characters as 2 as an example, for a character string gg with the number of characters as 2, according to the matching result, the element values of the elements in the first row and the first column of the first row and the second column of the second row in the second matching matrix may be increased by a preset value of 2. In addition, the update of the second matching matrix for other numbers of characters is similar.
In S405, after the second matching matrix is updated, for each first character, a maximum value of the element values in the dimension of the second matching matrix in which the first character is located is determined.
The second matching matrix shown in fig. 5 is the matrix after the update is completed. For example, for the first character g in the search information, the maximum value of the element in the dimension in which it is located is 15. For the second character g in the search information, the maximum value of the element in the dimension is 29.
In S406, the correlation degree of the search information and itself is determined according to the maximum value corresponding to each first character, and the correlation degree is used as the second correlation degree.
For example, the sum of the respective maximum values of each first character may be taken as the second correlation degree.
After determining the second relevance, wherein determining the relevance between the search information and the target content according to the first relevance may include: and determining the correlation degree between the retrieval information and the target content according to the ratio of the first correlation degree to the second correlation degree.
For example, a ratio of the first correlation degree to the second correlation degree may be determined as a correlation degree between the retrieval information and the target content.
In the above technical solution, the first matching matrix may be updated according to the matching results of the first character string and the second character string, and the target second character most relevant to each first character may be determined according to the updated first matching matrix, and the degree of correlation between the first character and the corresponding target second character may be determined. In determining the correlation between the search information and the target content, the correlation between the search information and the target content can be combined, wherein the correlation between the search information and the target content can be determined by means of iterative matching and a second matching matrix is established. Through the technical scheme, the correlation degree between the retrieval information and the target content can be accurately determined, so that an accurate basis is provided for judging whether the target content accords with the retrieval intention of a user.
The retrieval processing method provided by the present disclosure may further include: and determining the display sequence of the target content according to the correlation degree between the retrieval information and the target content.
In general, a plurality of target contents can be searched according to the search information, and the correlation between the plurality of target contents and the search information may be different, some of the target contents have a higher correlation with the search information, and some of the target contents have a lower correlation with the search information.
When a plurality of target contents are searched, for each target content, the correlation degree between the search information and the corresponding target content can be determined by a matching mode of character granularity in the present disclosure. After the relevance between the search information and each target content is determined, the display sequence of the target content can be determined according to the relevance. In this case, for example, the display order of the target content having a high degree of correlation with the search information may be arranged before the display order of the target content having a low degree of correlation with the search information. Therefore, the user can browse the target content which is more relevant to the input retrieval information, and the user experience is improved.
Based on the same inventive concept, the present disclosure further provides a search processing apparatus, fig. 6 is a block diagram of a search processing apparatus according to an exemplary embodiment, and as shown in fig. 6, the apparatus 600 may include:
a receiving module 601 configured to receive search information, wherein the search information includes a plurality of first characters;
a retrieval module 602 configured to perform a retrieval according to the retrieval information to obtain target content corresponding to the retrieval information, wherein the target content includes a plurality of second characters;
An obtaining module 603 configured to obtain, for each of a plurality of preset character numbers, a plurality of first character strings corresponding to the character number from the search information, and a plurality of second character strings corresponding to the character number from the target content, where each of the first character strings includes a first character having the number of consecutive characters, each of the second character strings includes a second character having the number of consecutive characters, and each of the character numbers is smaller than a minimum value of a total number of the first characters and a total number of the second characters;
a matching module 604 configured to match, for each of the character numbers, each of the first character strings corresponding to the character number with each of the second character strings corresponding to the character number one by one;
a determining module 605 is configured to determine a correlation between the retrieval information and the target content according to the matching result.
According to the technical scheme, for each character number in the plurality of preset character numbers, each first character string corresponding to the character number can be matched with each second character string corresponding to the character number one by one, and the correlation degree between the retrieval information and the target content is determined according to the matching result. Therefore, compared with a word granularity matching mode in the related art, the matching between characters with finer granularity can be performed, and the matching result is more accurate. And according to a plurality of preset character numbers, matching of character granularity can be carried out on the retrieval information and the target content in an iterative matching mode. By adopting the iterative matching mode, the second character most relevant to each first character can be respectively determined according to the matching result, so that the correlation degree between the finally determined retrieval information and the target content is more accurate, and an accurate basis is provided for judging whether the target content accords with the retrieval intention of the user.
Optionally, the determining module 605 may include: a first determining sub-module configured to determine, from the target content, a target second character most relevant to each of the first characters, and a degree of correlation between the first character and the target second character most relevant thereto, respectively, according to a matching result; a second determination sub-module configured to determine a degree of correlation between the search information and the target content based on the degree of correlation between the first character and the target second character most related thereto.
Optionally, the apparatus 600 may further include: the first initialization module is configured to initialize a first matching matrix, the first matching matrix is a two-dimensional matrix, one dimension of the first matching matrix is arranged according to the sequence of first characters in the search information, the other dimension of the first matching matrix is arranged according to the sequence of second characters in the target content, and each element in the initialized first matching matrix has the same initial value; the first determination submodule may include: an updating sub-module configured to increase, for each first string, an element value of an element in the first matching matrix at a position corresponding to the first string and the second string by a preset value to update the first matching matrix when the matching result indicates that there is a second string matching the first string; and the third determining submodule is configured to determine, for each first character, a target element with the largest element value in the dimension where the first character is located in the first matching matrix after the first matching matrix is updated, determine a second character corresponding to the target element as a target second character most relevant to the first character, and use the element value of the target element as the degree of correlation between the first character and the target second character.
Optionally, the second determining submodule includes: a fourth determination sub-module configured to determine a sum of correlations between each of the first characters and the target second character most related thereto as a first correlation; a fifth determination sub-module configured to determine the correlation between the retrieval information and the target content according to the first correlation.
Optionally, the apparatus 600 may further include: the second initialization module is configured to initialize a second matching matrix, the second matching matrix is a two-dimensional matrix, each dimension of the second matching matrix is arranged according to the sequence of the first characters in the search information, and each element in the initialized second matching matrix has the same initial value; a character string acquisition module configured to acquire, for each of the character numbers, a plurality of character strings corresponding to the character number from the search information, wherein the character string corresponding to the character number includes a plurality of consecutive first characters of the character number; a character string matching module configured to match, for each of the character numbers, character strings corresponding to the character numbers with each other; an updating module configured to increase element values of elements at positions corresponding to two character strings matched with each other by a preset value to update the second matching matrix; the maximum value determining module is configured to determine, for each first character, a maximum value of element values in a dimension in which the first character is located in the second matching matrix after the second matching matrix is updated; a relevance determining module configured to determine a relevance of the search information to itself according to the maximum value corresponding to each first character, and take the relevance as a second relevance; the fifth determination submodule includes: a sixth determination submodule configured to determine the relevance between the retrieval information and the target content according to the ratio of the first relevance to the second relevance.
Optionally, the apparatus 600 may further include: and the display sequence determining module is configured to determine the display sequence of the target content according to the correlation between the retrieval information and the target content.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the methods, and will not be described in detail herein.
Referring now to fig. 7, a schematic diagram of an electronic device 700 suitable for use in implementing embodiments of the present disclosure is shown. The terminal 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., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 7, the electronic device 700 may include a processing means (e.g., a central processor, a graphics processor, etc.) 701, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage means 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
In general, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 shows an electronic device 700 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to 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 non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communication device 709, or installed from storage 708, or installed from ROM 702. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 701.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 context of this 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 the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated 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: receiving search information, wherein the search information comprises a plurality of first characters; searching according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters; for each of a plurality of preset character numbers, acquiring a plurality of first character strings corresponding to the character number from the search information, and acquiring a plurality of second character strings corresponding to the character number from the target content, wherein each first character string comprises a plurality of continuous first characters, each second character string comprises a plurality of continuous second characters, and each character number is smaller than the minimum value of the total number of the first characters and the total number of the second characters; for each character number, matching each first character string corresponding to the character number with each second character string corresponding to the character number one by one; and determining the correlation degree between the retrieval information and the target content according to the matching result.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts 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 modules described in the embodiments of the present disclosure may be implemented in software or hardware. The name of a module is not limited to the module itself in some cases, and for example, a receiving module may be described as a "search information receiving module".
The functions described above herein 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: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), 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. The 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, example 1 provides a retrieval processing method, the method comprising: receiving search information, wherein the search information comprises a plurality of first characters; searching according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters; for each of a plurality of preset character numbers, acquiring a plurality of first character strings corresponding to the character number from the search information, and acquiring a plurality of second character strings corresponding to the character number from the target content, wherein each first character string comprises a plurality of continuous first characters, each second character string comprises a plurality of continuous second characters, and each character number is smaller than the minimum value of the total number of the first characters and the total number of the second characters; for each character number, matching each first character string corresponding to the character number with each second character string corresponding to the character number one by one; and determining the correlation degree between the retrieval information and the target content according to the matching result.
According to one or more embodiments of the present disclosure, example 2 provides the method of example 1, the determining a target relevance between the search information and the target content according to a matching result, including: according to the matching result, respectively determining target second characters most relevant to each first character and the correlation degree between the first character and the target second characters most relevant to the first character from the target content; and determining the correlation degree between the retrieval information and the target content according to the correlation degree between the first character and the target second character which is most relevant to the first character.
In accordance with one or more embodiments of the present disclosure, example 3 provides the method of example 2, the method further comprising: initializing a first matching matrix, wherein the first matching matrix is a two-dimensional matrix, one dimension of the first matching matrix is arranged according to the sequence of first characters in the search information, the other dimension of the first matching matrix is arranged according to the sequence of second characters in the target content, and each element in the initialized first matching matrix has the same initial value; and respectively determining a target second character most relevant to each first character and the relativity between the first character and the target second character most relevant to the first character from the target content according to the matching result, wherein the relativity comprises the following steps: for each first character string, when the matching result represents that a second character string matched with the first character string exists, adding a preset value to element values of elements corresponding to the first character string and the second character string in the first matching matrix so as to update the first matching matrix; after the first matching matrix is updated, determining a target element with the largest element value in the dimension of the first character in the first matching matrix for each first character, determining a second character corresponding to the target element as a target second character most relevant to the first character, and taking the element value of the target element as the correlation degree between the first character and the target second character.
According to one or more embodiments of the present disclosure, example 4 provides the method of example 2, the determining the relevance between the search information and the target content according to the relevance between the first character and the target second character most relevant thereto, comprising: determining the sum of the correlation degree between each first character and the target second character most relevant to the first character as a first correlation degree; and determining the correlation degree between the retrieval information and the target content according to the first correlation degree.
Example 5 provides the method of example 4, according to one or more embodiments of the present disclosure, the method further comprising: initializing a second matching matrix, wherein the second matching matrix is a two-dimensional matrix, each dimension of the second matching matrix is arranged according to the sequence of the first characters in the search information, and each element in the initialized second matching matrix has the same initial value; for each character number, acquiring a plurality of character strings corresponding to the character number from the search information, wherein the character strings corresponding to the character number comprise a plurality of continuous first characters; matching character strings corresponding to the character numbers with each other for each character number; adding a preset value to element values of elements at corresponding positions of the two character strings which are matched with each other so as to update the second matching matrix; after the second matching matrix is updated, determining a maximum value of element values in the dimension of the first character in the second matching matrix for each first character; according to the maximum value corresponding to each first character, determining the correlation degree of the search information and the search information, and taking the correlation degree as a second correlation degree; said determining said correlation between said retrieved information and said target content according to said first correlation comprises: and determining the correlation degree between the retrieval information and the target content according to the ratio of the first correlation degree to the second correlation degree.
According to one or more embodiments of the present disclosure, example 6 provides the method of example 3 or example 5, different numbers of the characters correspond to different preset values, and the higher the number of characters, the larger the corresponding preset value.
According to one or more embodiments of the present disclosure, example 7 provides the method of any one of examples 1 to 5, the method further comprising: and determining the display sequence of the target content according to the correlation degree between the retrieval information and the target content.
According to one or more embodiments of the present disclosure, example 8 provides the method of any one of examples 1 to 5, the retrieval information is retrieval information for a media file, and the target content is a name of the media file, accordingly.
According to one or more embodiments of the present disclosure, example 9 provides a retrieval processing apparatus, the apparatus comprising: a receiving module configured to receive search information, wherein the search information includes a plurality of first characters; a search module configured to search according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters; an acquisition module configured to acquire, for each of a plurality of preset character numbers, a plurality of first character strings corresponding to the character number from the search information, and a plurality of second character strings corresponding to the character number from the target content, wherein each of the first character strings includes a first character number that is continuous, each of the second character strings includes a second character number that is continuous, and each of the character numbers is smaller than a minimum value of a total number of the first characters and a total number of the second characters; a matching module configured to match, for each of the character numbers, each of the first character strings corresponding to the character number with each of the second character strings corresponding to the character number one by one; and the determining module is configured to determine the correlation degree between the retrieval information and the target content according to the matching result.
According to one or more embodiments of the present disclosure, example 10 provides a computer-readable medium having stored thereon a computer program which, when executed by a processing device, implements the steps of the method of any one of examples 1 to 8.
Example 11 provides an electronic device according to one or more embodiments of the present disclosure, comprising: a storage device having a computer program stored thereon; processing means for executing the computer program in the storage means to implement the steps of the method of any one of examples 1 to 8.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although 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. In 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 limiting the scope of the present 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 example forms of implementing the claims. The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Claims (9)
1. A retrieval processing method, the method comprising:
receiving search information, wherein the search information comprises a plurality of first characters;
searching according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters;
for each of a plurality of preset character numbers, acquiring a plurality of first character strings corresponding to the character number from the search information, and acquiring a plurality of second character strings corresponding to the character number from the target content, wherein each first character string comprises a plurality of continuous first characters, each second character string comprises a plurality of continuous second characters, and each character number is smaller than the minimum value of the total number of the first characters and the total number of the second characters;
For each character number, matching each first character string corresponding to the character number with each second character string corresponding to the character number one by one;
according to the matching result, determining the correlation degree between the retrieval information and the target content;
wherein the determining the correlation between the search information and the target content according to the matching result includes:
according to the matching result, respectively determining target second characters most relevant to each first character and the correlation degree between the first character and the target second characters most relevant to the first character from the target content;
determining the sum of the correlation degree between each first character and the target second character most relevant to the first character as a first correlation degree;
and determining the correlation degree between the retrieval information and the target content according to the first correlation degree.
2. The method according to claim 1, wherein the method further comprises:
initializing a first matching matrix, wherein the first matching matrix is a two-dimensional matrix, one dimension of the first matching matrix is arranged according to the sequence of first characters in the search information, the other dimension of the first matching matrix is arranged according to the sequence of second characters in the target content, and each element in the initialized first matching matrix has the same initial value;
And respectively determining a target second character most relevant to each first character and the relativity between the first character and the target second character most relevant to the first character from the target content according to the matching result, wherein the relativity comprises the following steps:
for each first character string, when the matching result represents that a second character string matched with the first character string exists, adding a preset value to element values of elements corresponding to the first character string and the second character string in the first matching matrix so as to update the first matching matrix;
after the first matching matrix is updated, determining a target element with the largest element value in the dimension of the first character in the first matching matrix for each first character, determining a second character corresponding to the target element as a target second character most relevant to the first character, and taking the element value of the target element as the correlation degree between the first character and the target second character.
3. The method according to claim 1, wherein the method further comprises:
initializing a second matching matrix, wherein the second matching matrix is a two-dimensional matrix, each dimension of the second matching matrix is arranged according to the sequence of the first characters in the search information, and each element in the initialized second matching matrix has the same initial value;
For each character number, acquiring a plurality of character strings corresponding to the character number from the search information, wherein the character strings corresponding to the character number comprise a plurality of continuous first characters;
matching character strings corresponding to the character numbers with each other for each character number;
adding a preset value to element values of elements at corresponding positions of the two character strings which are matched with each other so as to update the second matching matrix;
after the second matching matrix is updated, determining a maximum value of element values in the dimension of the first character in the second matching matrix for each first character;
according to the maximum value corresponding to each first character, determining the correlation degree of the search information and the search information, and taking the correlation degree as a second correlation degree;
said determining said correlation between said retrieved information and said target content according to said first correlation comprises:
and determining the correlation degree between the retrieval information and the target content according to the ratio of the first correlation degree to the second correlation degree.
4. A method according to claim 2 or 3, wherein different numbers of said characters correspond to different preset values, and the higher said number of characters, the greater the corresponding preset value.
5. A method according to any one of claims 1-3, characterized in that the method further comprises:
and determining the display sequence of the target content according to the correlation degree between the retrieval information and the target content.
6. A method according to any of claims 1-3, characterized in that the retrieval information is retrieval information for a media file, and in that the target content is the name of the media file, respectively.
7. A retrieval processing device, the device comprising:
a receiving module configured to receive search information, wherein the search information includes a plurality of first characters;
a search module configured to search according to the search information to obtain target content corresponding to the search information, wherein the target content comprises a plurality of second characters;
an acquisition module configured to acquire, for each of a plurality of preset character numbers, a plurality of first character strings corresponding to the character number from the search information, and a plurality of second character strings corresponding to the character number from the target content, wherein each of the first character strings includes a first character number that is continuous, each of the second character strings includes a second character number that is continuous, and each of the character numbers is smaller than a minimum value of a total number of the first characters and a total number of the second characters;
A matching module configured to match, for each of the character numbers, each of the first character strings corresponding to the character number with each of the second character strings corresponding to the character number one by one;
a determining module configured to determine a degree of correlation between the retrieval information and the target content according to a result of the matching;
wherein the determining module comprises: a first determining sub-module configured to determine, from the target content, a target second character most relevant to each of the first characters, and a degree of correlation between the first character and the target second character most relevant thereto, respectively, according to a matching result; a fourth determination sub-module configured to determine a sum of correlations between each of the first characters and the target second character most related thereto as a first correlation; a fifth determination sub-module configured to determine the correlation between the retrieval information and the target content according to the first correlation.
8. A computer readable medium on which a computer program is stored, characterized in that the program, when being executed by a processing device, carries out the steps of the method according to any one of claims 1-6.
9. An electronic device, comprising:
a storage device having a computer program stored thereon;
processing means for executing said computer program in said storage means to carry out the steps of the method according to any one of claims 1-6.
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