CN114218491A - Data query analysis system and method - Google Patents

Data query analysis system and method Download PDF

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Publication number
CN114218491A
CN114218491A CN202111556353.6A CN202111556353A CN114218491A CN 114218491 A CN114218491 A CN 114218491A CN 202111556353 A CN202111556353 A CN 202111556353A CN 114218491 A CN114218491 A CN 114218491A
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data
preview
query
preview data
user
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庞小兵
陈怀东
宋均强
卢兵
李晓乐
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Shenzhen Zhibudweiser Technology Development Co ltd
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Shenzhen Zhibudweiser Technology Development Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results

Abstract

The invention relates to a data query analysis system and a data query analysis method, which comprise a database; a user terminal; a data splitting module; a display module; a capture module; a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method according to the first personal tag data. According to the invention, the processor identifies the first personal tag data of the user, and the first arrangement sequence of the plurality of first preview data corresponding to the first content data is changed into the second arrangement sequence through the first method, so that the arrangement sequence of the plurality of first preview data corresponding to the first content data is influenced through the first personal tag data of the user, the query result and the retrieval and selection behaviors of the user are more fitted, and more intelligent and humanized data query experience is realized.

Description

Data query analysis system and method
Technical Field
The invention relates to the technical field of internet, in particular to a data query analysis system and a data query analysis method capable of learning retrieval and selection behaviors of a user.
Background
Most of the existing search engines for data query can only collect information by using a specific computer program, and display the information to users after certain organization and processing. The existing data query method does not have an analysis function, personal tags cannot be given to users through learning and recording retrieval behaviors of the users, and the personal tags and the data tags cannot be updated through multiple retrieval and selection behaviors of the users, so that search results close to the selection tendency of the users are pushed to the users in a forward mode, and the existing data query method is not humanized and intelligent enough to bring good data query experience to the users. Therefore, there is a need for a data query analysis system and method that can learn the retrieval and selection behavior of a user.
Disclosure of Invention
The invention aims to provide a data query analysis system and a data query analysis method capable of learning retrieval and selection behaviors of a user.
The invention relates to a data query analysis system, which comprises
A database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method based on the first personal tag data.
The invention relates to a data query analysis system, wherein the first method comprises the following steps: the processor converts first content data and the first selection times S corresponding to the first content data into first personal tag data and adds the first personal tag data to user data according to the first selection times S of the Lth first preview data corresponding to the first content data selected by a user in a third unit time, and when the user inputs the first content data corresponding to the first personal tag data, the processor preliminarily converts the Lth first preview data corresponding to the first content data in a first arrangement sequence into the (L-S) th first preview data, and outputs a ranking coefficient R according to the following formula:
r ═ L + S; (formula one)
And the processor rearranges (L-S) identical (L-S) first preview data according to the sequence of the ranking coefficient R from large to small, and converts the rearranged (L-S) first preview data into a second arrangement sequence.
The present invention provides a data query analysis system, wherein the step of capturing the number of times of the first preview data corresponding to the first content data selected within a second unit time before the first query data is input comprises: capturing the number of times that the time for the user to browse the selected first preview data corresponding to the first content data exceeds a second preset threshold within a second unit time.
In the data query analysis system, in the step of preliminarily converting the lth first preview data corresponding to the first content data in the first arrangement order into the (L-S) th first preview data by the processor, when the (L-S) is an integer less than or equal to 1, the (L-S) is 1.
In the step of "rearranging (L-S) identical (L-S) th first preview data in descending order of the ranking coefficient R", when the number of preliminarily converted first preview data before the ranking of the (L-S) th first preview data is q, the (L-S) th first preview data is arranged from the (q +1) th first preview data.
The invention relates to a data query analysis system, wherein when the ranking coefficients of at least two primarily converted first preview data are the same, a processor arranges the at least two first preview data according to the descending order of the first selection times S of the at least two first preview data, and converts the first preview data into a second arrangement order.
The invention relates to a data query analysis system, wherein when the first selection times S of at least two first preview data are the same, the processor converts the ordering of the at least two first preview data in the first ordering into the second ordering.
The invention relates to a data query analysis system, wherein a second preset threshold value is 0.5-2 s.
The invention relates to a data query analysis method, which comprises the following steps
Inputting first query data;
splitting the first query data into at least one first content data;
displaying a plurality of first preview data corresponding to the first content data in a first arrangement order;
capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
first personal tag data of a user is identified, and the first arrangement order is converted into a second arrangement order in a first method according to the first personal tag data.
The data query analysis system and method of the present invention will be further described with reference to the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a data query analysis method
Detailed Description
Example 1
As shown in fig. 1, a data query analysis system of the present invention includes:
a database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method based on the first personal tag data.
According to the invention, the processor identifies the first personal tag data of the user, and the first arrangement sequence of the plurality of first preview data corresponding to the first content data is changed into the second arrangement sequence through the first method, so that the arrangement sequence of the plurality of first preview data corresponding to the first content data is influenced through the first personal tag data of the user, the query result and the retrieval and selection behaviors which are more suitable for the user are achieved, and more intelligent and humanized data query experience is realized.
The step of "receiving first query data sent by a user terminal, and splitting the first query data into at least one first content data" may be: the database prestores a plurality of content word data, and the data splitting module splits a part of first query data which is the same as the content word data into first content data, splits other parts in the first query data into another first content data, uploads the another first content data to the database, and converts the another first content data into the content word data.
For example, the database is pre-stored with content word data "live broadcast", when the first query data input by the user is "tiger's live broadcast", a part of the first query data "live broadcast" identical to the content word data is converted into first content data, and another part of the first query data "tiger's tooth" is converted into another first content data, and another first content data "tiger's tooth" is uploaded to the database and converted into content word data.
According to the method, the first query data input by the user are divided into at least one content word data prestored in the database, so that the actual meaning of the first query data is read, and meanwhile, the content word data prestored in the database is updated.
The "first arrangement order" may be a default arrangement order, for example, the first preview data is arranged according to how many clicks the other users click the first preview data corresponding to the first query data in a first unit time before the first query data is input.
The invention arranges the first preview data according to the times of clicking the first preview data by other users, so that the first preview data has a default arrangement sequence when the user does not input and inquire the first inquiry data.
The first arrangement order may be a first arrangement order corresponding to the first query data, or a first arrangement order corresponding to at least one or more first content data.
Wherein the first preview data may be: search results corresponding to the first content data or first query data.
According to the invention, through the arrangement, the user can acquire the search result corresponding to the first content data or the first query data through the first preview data.
The first unit time and the second unit time may be 10s to 10 days, and preferably 1 hour.
The step of capturing the number of times of the first preview data corresponding to the first content data being selected within a second unit time before the first query data is input may be, for example: in the second unit time, after the user inputs the first query data, the behavior of the user clicking on a certain first preview data may be recorded, and the number of times the user clicks on the first preview data may be recorded.
According to the invention, the times of the first preview data corresponding to the first content data selected by the user can be recorded through the setting.
Wherein the "capturing module is configured to capture a number of times that first preview data corresponding to the first content data is selected within a second unit time before the first query data is input; the step of "may be: when the first query data is 'tiger teeth live broadcast', the first content data is 'tiger teeth' and 'live broadcast', and the entry of the first preview data selected in the second unit time before the first query data is input every more time is 'tiger teeth live broadcast', and the entry and the times of the first preview data of which the first content data is 'tiger teeth' and 'live broadcast' are added by one.
When the first query data is 'tiger teeth live broadcast', the first content data is 'tiger teeth' and 'direct broadcast', the entry of the first preview data selected within a second unit time before the first query data of 'tiger teeth live broadcast' is 'agrotis live broadcast' every time, and the frequency of the entry of the first preview data which is 'tiger teeth' and the first content data is unchanged; the number of times of the first preview data of "live broadcast" is increased by one.
Preferably, the invention provides a data query analysis system, and the first method is:
the processor converts first content data and the corresponding first selection times S into first personal tag data and adds the first personal tag data to user data according to the first selection times S of the Lth first preview data corresponding to the first content data selected by a user in a third unit time, when the user inputs the first content data corresponding to the first personal tag data, the processor preliminarily converts the Lth first preview data corresponding to the first content data in a first arrangement sequence into (L-S) th first preview data, and outputs a ranking coefficient R according to the following formula:
r ═ L + S; (formula one)
And the processor rearranges (L-S) identical (L-S) first preview data according to the sequence of the ranking coefficient R from large to small, and converts the rearranged (L-S) first preview data into a second arrangement sequence.
According to the method, the first selection times S of the L-th first preview data in the third unit time are used by the user, the keywords corresponding to the L-th first preview data and the first selection times S are used as the personal tags of the user, when the user inquires the keywords again, the L-th first preview data are reordered through two conversion actions and converted into the second arrangement sequence, so that the inquiry result and the retrieval and selection behaviors of the user are more fitted, and more intelligent and humanized data inquiry experience is realized.
The first selection number can be 1-10, preferably 2, and if the first selection number exceeds 10, the first selection number can be determined as 10.
Wherein "the first number of times of selection S of the lth first preview data corresponding to the first content data" is the number of times of selection in the first arrangement order.
The method for converting the first content data and the corresponding first selection times S into the first personal tag data and adding the first personal tag data to the user data may be: for example, the first preview data "move positively 4 times", the first preview data "move negatively 1 time", and the user label may be "move positively 3 times".
For example, referring to table 1, the processor converts the first personal tag data into the first personal tag data and adds the first personal tag data to the user data according to the first number of selections 3 of the first content data "sports meeting" and corresponding first preview data, the first content data "national ping" and corresponding second first number of selections 5 of the first content data "national ping" and corresponding third first preview data, and the first number of selections 7 of the first content data "gold medal" and corresponding third first preview data, which are selected by the user in the third unit time;
when a user inputs first content data corresponding to the first personal label data 'sports meeting' or 'national ping' or 'gold medal', the processor preliminarily converts first preview data corresponding to the first content data 'sports meeting' in a first arrangement sequence into first preview data, and outputs a ranking coefficient R of the first preview data to be 2 through a formula;
preliminarily converting the second first preview data corresponding to the first content data 'pingpong', into first preview data, and outputting a ranking coefficient R of the first preview data as 3 through a formula;
preliminarily converting third first preview data corresponding to the first content data 'gold medal' into first preview data, and outputting a ranking coefficient R of the first preview data to be 4 through a formula;
arranging three first preview data in the order of the ranking coefficient R from big to small: the first preview data corresponding to the first content data "gold medal" is the first preview data, the first preview data corresponding to the first content data "country ping" is the second first preview data, the first preview data corresponding to the first content data "sports meet" is the first preview data is the third first preview data, and the first preview data is converted into the second arrangement order.
When the ordering of the at least two primarily converted first preview data is the same and the ranking coefficient is also the same, the at least two first preview data are arranged according to the descending order of the first selection times S of the at least two first preview data and are converted into a second arrangement order, and an example is added in the table.
For example, referring to table 1, if the fifth first preview data and the seventh first preview data have the same rank after the preliminary conversion and the same ranking coefficient R, the seventh first preview data is finally ranked as the fifth first preview data, the fifth first preview data is finally ranked as the sixth first preview data, and the sixth first preview data with the smallest ranking coefficient R is finally ranked as the seventh first preview data according to the first number of selections S of the fifth first preview data being 3 and the first number of selections S of the seventh first preview data being 5.
Figure BDA0003418840180000081
TABLE 1
Preferably, the data query analysis system of the present invention, wherein the step of capturing the number of times of the first preview data corresponding to the first content data being selected within a second unit time before the first query data is input comprises: capturing the number of times that the time for the user to browse the selected first preview data corresponding to the first content data exceeds a second preset threshold within a second unit time.
According to the invention, through the arrangement, the increase of the times of capturing the selected first preview data corresponding to the first content data after the user clicks the first preview data by mistake is avoided.
Preferably, in the data query analysis system according to the present invention, in the step of preliminarily converting, by the processor, the lth first preview data corresponding to the first content data in the first arrangement order into the (L-S) th first preview data, when the (L-S) is an integer less than or equal to 1, the (L-S) is 1.
According to the algorithm, when the L-S is less than or equal to 1, the L-S is defined as 1, the situations of 0 th first preview data and-1 st first preview data can be avoided, and the same first preview data which is preliminarily converted can be finally arranged according to the ranking coefficient R and converted into the second arrangement sequence.
Preferably, in the step of "rearranging (L-S) identical first preview data in order of magnitude according to the ranking coefficient R", the (L-S) th first preview data is arranged from the (q +1) th first preview data when the number of first preview data of preliminary conversion before the ranking of the (L-S) th first preview data is q.
Example 2
As shown in fig. 1, a data query analysis system of the present invention includes:
a database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method based on the first personal tag data.
Preferably, the invention provides a data query analysis system, and the first method is:
the processor converts first preview data corresponding to the first content data with a large number of first selection times into first core data with a number of x and converts first preview data corresponding to the first content data with a small number of first selection times into first edge data with a number of y according to the first selection times of the first preview data corresponding to the first content data, the number of which exceeds a third preset threshold value, and the number of which is selected in a fourth unit time;
the processor adjusts a first arrangement sequence of first preview data containing an intersection of the x number of first core data and the y number of first edge data to a first order and converts the first arrangement sequence into a second arrangement sequence, adjusts a first arrangement sequence of first preview data corresponding to the remaining first core data to the first order and then converts the first arrangement sequence of the first preview data corresponding to the remaining first edge data to the second arrangement sequence, and adjusts a first arrangement sequence of first preview data corresponding to the remaining first edge data to the first preview data corresponding to the remaining first core data and then converts the first arrangement sequence of the first preview data into the second arrangement sequence.
The invention takes the repeated parts of the first core data with the number of x and the first edge data with the number of y as an intersection, arranging the first preview data corresponding to the intersection to the head, arranging the first preview data corresponding to the rest first core data behind the head, arranging the first preview data corresponding to the remaining first edge data after the first preview data corresponding to the remaining first core data and converting the first preview data into a second arrangement order, that is, raising the search results corresponding to the intersection to the head, arranging the search results of the remaining part of the first core data after the head, the search results of the remaining part of the first edge data are rearranged, and converted into a second arrangement order, therefore, the query result and the retrieval and selection behaviors of the user can be fitted better, and more intelligent and humanized data query experience is realized.
Wherein, the fourth unit time may be: 10s to 10 days, preferably 1 hour.
Wherein, the third preset threshold may be: 1-20, preferably 1.
The "number of first selections by the processor based on the first preview data corresponding to the plurality of first content data, the number of first selections exceeding the third preset threshold, and selected in the fourth unit time" may be selected by the user himself or by another registered user, and is preferably selected by the user himself.
In most cases, x should be greater than y, and when x is equal to y, that is, when the first selection times of the two first content data are the same, the first content data located at the more rear position of the first query data may be used as the first core data, and the first content data located at the more front position of the first query data may be used as the first edge data.
The first arrangement order of the first preview data corresponding to the remaining first core data is arranged according to the number of the first preview data, and the first arrangement order of the first preview data corresponding to the remaining first edge data is arranged according to the number of the first preview data.
For example, a user inputs first query data "tiger teeth live broadcast", the first content data are "tiger teeth" and "live broadcast", the processor converts first preview data "tiger teeth live broadcast", "live broadcast anchor", "live broadcast activity", which are selected for a large number of times and correspond to the first content data "live broadcast", into first core data according to the number of times of selection of first preview data, which are selected by other registered users within a fourth unit time and have a number exceeding a third preset threshold value and correspond to a plurality of first content data, and the number x of the first preview data corresponding to "tiger teeth live broadcast", "live broadcast anchor", "live broadcast activity" is 4, 1, 5, respectively;
the processor converts first preview data 'tiger teeth live broadcast', 'tiger teeth video' and 'tiger teeth news' corresponding to first content data 'tiger teeth' with few selection times into first edge data, and the number y of the first preview data corresponding to the 'tiger teeth live broadcast', 'tiger teeth video' and 'tiger teeth news' is 4, 3 and 2 respectively;
the intersection of the first core data 'tiger' live broadcast ',' live anchor 'and' live broadcast activity 'and the first edge data' tiger 'live broadcast', 'tiger' video 'and' tiger 'news' is 'tiger' live broadcast ', the processor adjusts the first preview data containing' tiger 'live broadcast' to the first position, adjusts the first core data 'live broadcast activity' and 'live broadcast anchor' to the second position and the third position, adjusts the first edge data 'tiger' video 'and' tiger 'news' to the fourth position and the fifth position, and the processor converts the first edge data 'tiger' video 'and' tiger 'news' into the second arrangement sequence.
The step of converting the first preview data corresponding to the first content data with a greater number of first selections into x number of first core data, and converting the first preview data corresponding to the first content data with a lesser number of first selections into y number of first edge data may be: the sum of each x is more of the first core data and the sum of each y is less of the first edge data.
For example, the number x of the first preview data corresponding to "live tiger teeth", "live anchor", "live event" is 4, 1, 5, the sum of each x is 10, the number y of the first preview data corresponding to "live tiger teeth", "tiger teeth video", and "tiger teeth news" is 4, 3, 2, the sum of each y is 9, 10 is greater than 9, the "live tiger teeth", "live anchor", "live event" is the first core data, and the "live tiger teeth", "tiger teeth video", and "tiger teeth news" are the first edge data.
Preferably, the present invention is a data query analysis system, and the first method further comprises:
the processor acquires m number of first associated data corresponding to the first core data and n number of second associated data corresponding to the first edge data, which are selected by other registered users in a fourth unit time, wherein the numbers of the first associated data and the second associated data are x1、x2、x3.., a plurality of data of y number1、y2、y3.., and outputting lifting capability values of the plurality of first associated data according to the following formula two:
kx＝me(x1+x2+x3+..); (formula two)
The processor outputs the lifting capacity values of the plurality of second associated data according to the following formula three:
ky＝ne(y1+y2+y3+..); (formula three)
And the processor adjusts the first arrangement sequence of the first preview data corresponding to the first associated data and the second associated data to be after the first preview data corresponding to the remaining first edge data according to the ascending capability value from big to small, and converts the first preview data into a second arrangement sequence, and the processor outputs the second arrangement sequence.
The invention outputs the lifting capacity value k of the first associated data through a formulaxAnd the lifting capability value k of the second associated datayAnd rearranging the first preview data corresponding to the first associated data and the second associated data into a second arrangement order according to a rule that the higher the capability value is, the earlier the order is, so that the query result and the second associated data are arranged in the second arrangement orderThe method is more suitable for retrieval and selection behaviors of users, and more intelligent and humanized data query experience is realized.
The invention outputs the lifting capacity value k of a plurality of first associated data by utilizing the formulaxAnd lifting capacity values k of a plurality of second associated datayThe number x of the first core data and the number y of the first edge data have a larger weight to the k value, while the number m of the first associated data and the number n of the second associated data have a smaller weight to the k value, so that the size of the k value mainly depends on the number x of the first core data and the number y of the first edge data.
Wherein, the definition domains of m and n are as follows: m and n are more than or equal to a third preset threshold.
For example, referring to table 2, the processor obtains first associated data "live video", "live news", "live game" corresponding to first core data "tiger's teeth live broadcast", "live anchor", "live activity", and the numbers m of first preview data corresponding to "live video", "live news" and "live game" are 5, 6 and 2, respectively, which are selected by other registered users in a fourth unit time;
the processor acquires second associated data 'fighting fish', 'tremble' and 'penguin' corresponding to first edge data 'tiger-teeth live broadcast', 'tiger-teeth video' and 'tiger-teeth news' selected by other registered users in a fourth unit time, and the number n of the first preview data corresponding to the 'fighting fish', 'tremble' and 'penguin' is 6, 3 and 2 respectively;
the processor outputs the promotion capability values k of the first associated data of live video, live news and live game according to a formula as follows:
kx＝me(x1+x2+x3+...)
"live video" k ═ 5e10；
"live news" k ═ 6e10；
"live game" k ═ 2e10；
The processor outputs the lifting capacity values k of the second associated data of 'bullfight', 'tremble' and 'penguin' according to a formula as follows:
ky＝ne(y1+y2+y3+...)
"fighting fish" k ═ 6e9；
"tremble" k is 3e9；
Penguin k 2e9；
The processor reorders first associated data including live video, live news and live game according to the increasing capacity value k from large to small, second associated data including bullfight, trembler and penguin are converted into a second arrangement sequence after first preview data corresponding to remaining first edge data including tiger live broadcast, tiger video and tiger news, and finally the first preview data are sequenced into a plurality of first preview data: "tiger teeth live broadcast", "live broadcast activity", "live broadcast anchor", "tiger teeth news", "tiger teeth video", "live broadcast news", "live broadcast video", "fighting fish", "game direct broadcast", "penguin" and "tremble sound".
Figure BDA0003418840180000141
TABLE 2
Example 3
As shown in fig. 1, a data query analysis system of the present invention includes:
a database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method based on the first personal tag data.
Preferably, the invention provides a data query analysis system, and the first method is:
the processor converts first preview data corresponding to the first content data with a large number of first selection times into first core data with a number of x and converts first preview data corresponding to the first content data with a small number of first selection times into first edge data with a number of y according to the first selection times of the first preview data corresponding to the first content data, the number of which exceeds a third preset threshold value, and the number of which is selected in a fourth unit time;
the processor adjusts a first arrangement sequence of first preview data containing an intersection of the x number of first core data and the y number of first edge data to a first order and converts the first arrangement sequence into a second arrangement sequence, adjusts a first arrangement sequence of first preview data corresponding to the remaining first core data to the first order and then converts the first arrangement sequence of the first preview data corresponding to the remaining first edge data to the second arrangement sequence, and adjusts a first arrangement sequence of first preview data corresponding to the remaining first edge data to the first preview data corresponding to the remaining first core data and then converts the first arrangement sequence of the first preview data into the second arrangement sequence.
Preferably, the present invention is a data query analysis system, and the first method further comprises:
the processor acquires m number of first associated data corresponding to the first core data and n number of second associated data corresponding to the first edge data, which are selected by other registered users in a fourth unit time;
the processor calculating a first repetition number a of first preview data corresponding to the first content data selected by a user;
the processor calculates first browsing time b used by a plurality of first preview data corresponding to the first associated data browsed by the user in a fourth unit time and second browsing time c used by the user for browsing one first result data corresponding to the first preview data;
the processor outputs a first value P according to the following formula four:
Figure BDA0003418840180000161
the processor arranges the plurality of first preview data corresponding to the first numerical value P behind the first preview data corresponding to the remaining first edge data according to the ascending order of the first numerical value P, and converts the first preview data into a second arrangement order, and the processor outputs the second arrangement order.
According to the invention, the plurality of search terms are rearranged into the second arrangement sequence by the size of the first numerical value P related to the search repetition times, the browsing time of the plurality of search terms and the browsing time of a single search result, so that the search results and the retrieval and selection behaviors of the user are more fitted, and more intelligent and humanized data query experience is realized.
According to the method, the weight of the first repetition times a of the first preview data corresponding to the first content data selected by the user is maximized, and the larger a is, the smaller the first numerical value P is, so that the corresponding first preview data is ranked ahead, namely the weight of the selection times of the previous user entries is increased; the larger the first browsing time b is, the greater the corresponding first numerical value P is, the defined hesitation occurs when the user browses certain entries, so that the corresponding entries are ordered; the larger the second browsing time c is, the longer the time corresponding to the search result corresponding to a certain entry is browsed by the user, the definition that the user likes the search result is that the corresponding first numerical value P should be made smaller, so that the corresponding first preview data is ranked earlier.
The first repeated times are times of repeated inquiry of a certain inquiry content by a user.
The first browsing time is the time taken by the user to browse the plurality of search terms.
Wherein the first result data is the detailed content of the search result.
And the second browsing time is the time for the user to browse the detailed content of a certain search result.
For example, the processor obtains first associated data "live video", "live news", "live game", and second associated data "fish", "tremble", "penguin", which are selected by other registered users within a fourth unit time and have numbers of 5, 6, and 2 corresponding to the first core data, and numbers of 6, 3, and 2 corresponding to the first edge data, respectively;
the processor calculates that the 5 th time of the user inquires the first inquiry data 'tiger-tooth live broadcast';
the processor calculates a plurality of first preview data corresponding to first associated data 'live video', 'live news', 'live game' browsed by a user in a fourth unit time, the first browsing time b used by the processor for browsing one of the first preview data, for example, the second browsing time c used by the user for browsing first result data corresponding to the first associated data 'live game', is 20s, that is, the time b used by the user for browsing a plurality of entries of 'live video', 'live news', 'live game live broadcast', is 5s, the user selects a certain entry and browses a detailed result thereof for 20s, a first numerical value P is output according to a formula as 4/421, and the processor arranges the plurality of first preview data corresponding to the first numerical value P on the remaining first edge data pairs in descending order of the first numerical value P And after the first preview data, converting the first preview data into a second arrangement sequence, and outputting the second arrangement sequence by the processor.
Example 4
As shown in fig. 1, a data query analysis system of the present invention includes:
a database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method based on the first personal tag data.
Preferably, the invention provides a data query analysis system, and the first method is:
the processor converts first preview data corresponding to the first content data with a large number of first selection times into first core data with a number of x and converts first preview data corresponding to the first content data with a small number of first selection times into first edge data with a number of y according to the first selection times of the first preview data corresponding to the first content data, the number of which exceeds a third preset threshold value, and the number of which is selected in a fourth unit time;
the processor adjusts a first arrangement sequence of first preview data containing an intersection of the x number of first core data and the y number of first edge data to a first order and converts the first arrangement sequence into a second arrangement sequence, adjusts a first arrangement sequence of first preview data corresponding to the remaining first core data to the first order and then converts the first arrangement sequence of the first preview data corresponding to the remaining first edge data to the second arrangement sequence, and adjusts a first arrangement sequence of first preview data corresponding to the remaining first edge data to the first preview data corresponding to the remaining first core data and then converts the first arrangement sequence of the first preview data into the second arrangement sequence.
Preferably, the present invention is a data query analysis system, and the first method further comprises:
the processor acquires m number of first associated data corresponding to the first core data and n number of second associated data corresponding to the first edge data, which are selected by other registered users in a fourth unit time;
the database stores a front label and a negative label of the first preview data corresponding to the first associated data and the second associated data;
the processor collects the number of positive labels and the number of negative labels corresponding to the first preview data which is clicked by the user and corresponds to the first associated data or the second associated data in the fifth unit time;
when the number of the positive tags is more than or equal to a second preset number than the number of the negative tags, ranking of a first arrangement order of the first associated data with the positive tags and the first preview data corresponding to the second associated data is arranged after the first preview data corresponding to the remaining first edge data, ranking of the first arrangement order of the first associated data with the positive tags and the first preview data corresponding to the second associated data is arranged before ranking of the first arrangement order of the first associated data with the negative tags and the first preview data corresponding to the second associated data, and the processor outputs a second arrangement order;
when the number of the negative tags is more than or equal to a second preset number than the number of the positive tags, ranking of a first arrangement order of the first associated data with the negative tags and the first preview data corresponding to the second associated data is arranged after the first preview data corresponding to the remaining first edge data, ranking of the first arrangement order of the first associated data with the negative tags and the first preview data corresponding to the second associated data is arranged before ranking of the first arrangement order of the first associated data with the positive tags and the first preview data corresponding to the second associated data, and the processor outputs a second arrangement order.
According to the invention, the processor judges and compares the number of positive labels and the number of negative labels corresponding to the first preview data corresponding to the first associated data or the second associated data clicked by the user in the fifth unit time, and the ranking of the first ranking sequence of the first preview data corresponding to the first associated data or the second associated data, which has a large number of positive labels or negative labels, is advanced and converted into the second ranking sequence. The ranking of the first preview data is determined according to the number of the positive labels or the negative labels corresponding to the first preview data, so that the query result and the retrieval and selection behaviors of a user are fitted better, and more intelligent and humanized data query experience is realized.
The fifth unit time may be 10s to 10 days, and preferably 2 hours.
The second preset number can be 2-10, and is preferably 4.
The first associated data with the same front label and the first preview data corresponding to the second associated data are arranged randomly or according to the formula four and the size of the first numerical value P.
For example: the database stores a positive label 'like import automobile' and a negative label 'dislike import automobile' corresponding to first preview data corresponding to the first associated data or the second associated data, and the processor acquires the number of positive labels and the number of negative labels corresponding to the first preview data clicked by a user within 2 hours;
when the number of the positive labels 'like to import automobiles' is 4 more than the number of the negative labels 'dislike to import automobiles', ranking of a first ranking order of first preview data corresponding to the first and second associated data with the positive labels is arranged before ranking of a first ranking order of first preview data corresponding to the first and second associated data with the negative labels 'dislike to import automobiles', and the ranking is converted into a second ranking order, and a processor outputs the second ranking order;
when the number of the negative labels "dislike incoming cars" is 4 more than the number of the positive labels "like incoming cars", the rank of the first ranking order of the first preview data corresponding to the first association data and the second association data with the negative label "dislike incoming cars" is arranged before the rank of the first ranking order of the first preview data corresponding to the first association data and the second association data with the positive label "like incoming cars", and is converted into the second ranking order, and the processor outputs the second ranking order.
Example 5
As shown in fig. 1, a data query analysis system of the present invention includes:
a database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method based on the first personal tag data.
Preferably, the invention provides a data query analysis system, and the first method is:
the processor converts first preview data corresponding to the first content data with a large number of first selection times into first core data with a number of x and converts first preview data corresponding to the first content data with a small number of first selection times into first edge data with a number of y according to the first selection times of the first preview data corresponding to the first content data, the number of which exceeds a third preset threshold value, and the number of which is selected in a fourth unit time;
the processor adjusts a first arrangement sequence of first preview data containing an intersection of the x number of first core data and the y number of first edge data to a first order and converts the first arrangement sequence into a second arrangement sequence, adjusts a first arrangement sequence of first preview data corresponding to the remaining first core data to the first order and then converts the first arrangement sequence of the first preview data corresponding to the remaining first edge data to the second arrangement sequence, and adjusts a first arrangement sequence of first preview data corresponding to the remaining first edge data to the first preview data corresponding to the remaining first core data and then converts the first arrangement sequence of the first preview data into the second arrangement sequence.
Preferably, the present invention is a data query analysis system, and the first method further comprises:
the processor acquires m number of first associated data corresponding to the first core data and n number of second associated data corresponding to the first edge data, which are selected by other registered users in a fourth unit time;
the processor calculates a second repetition number t of the plurality of first content data included in the first result data according to the first result data corresponding to the first preview data corresponding to each first associated data and the first result data corresponding to the first preview data corresponding to each second associated data;
the processor arranges first preview data corresponding to the first associated data and first preview data corresponding to the second associated data after the first preview data corresponding to the remaining first edge data, arranges the first preview data corresponding to the first associated data and the first preview data corresponding to the second associated data in an order from a large repetition number t of a plurality of first content data included in the first result data to a small repetition number t, and converts the first preview data and the first preview data into a second arrangement order, and the processor outputs the second arrangement order.
According to the method and the device, the first repeated times t of the plurality of first content data contained in the first result data corresponding to the first associated data and the second associated data are calculated, and the corresponding first preview data are rearranged into the second arrangement sequence, namely, the more keywords in the search results corresponding to the first associated data and the second associated data are, the more the corresponding search results are ranked, the less the keywords in the search results corresponding to the first associated data and the second associated data are, and the more the corresponding search results are ranked, so that the search and selection behaviors of the query results and the users are more suitable, and more intelligent and humanized data query experience is realized.
And the second repetition frequency is the frequency of at least one keyword contained in the detailed content of a certain search result.
When the sum t of the first repetition times of a plurality of first content data contained in the first result data is repeated, the first character of the pinyin of the second associated data is arranged.
For example, the processor obtains first associated data "live video", "live news", "live game", and second associated data "fish", "tremble", "penguin", which are selected by other registered users within a fourth unit time and have numbers of 5, 6, and 2 corresponding to the first core data, and numbers of 6, 3, and 2 corresponding to the first edge data, respectively;
the processor pre-reads first result data corresponding to the first preview data corresponding to each piece of first associated data, namely live video, live news and live game, and first result data corresponding to the first preview data corresponding to each piece of second associated data, namely 'fighting fish', 'shaking voice' and 'penguin';
for example, the processor calculates that in the search result of the first associated data "live video", the second repetition number of the keyword "tiger teeth" is 2, and the second repetition number of "live" is 6, so that the second repetition number t is 8;
in the search result of the first associated data "live news", the second repetition number of the keyword "tiger teeth" is 2, and the second repetition number of the "live news" is 3, so that the second repetition number t is 5;
in the search result of the first associated data "live game", the second repetition number of the keyword "tiger teeth" is 6, and the second repetition number of the "live broadcast" is 5, so that the second repetition number t is 11;
in the search result of the first second associated data "fighting fish", the second repetition number of the keyword "tiger teeth" is 0, and the second repetition number of the "live broadcast" is 6, so that the second repetition number t is 6;
in the search result of the first second associated data "tremble sound", the second repetition frequency of the keyword "tiger teeth" is 0, and the second repetition frequency of the "live broadcast" is 7, so that the second repetition frequency t is 7;
in the search result of the first and second associated data "penguin", the second repetition number of the keyword "tiger teeth" is 0, and the second repetition number of the "live broadcast" is 6, so that the second repetition number t is 6;
the processor arranges first preview data corresponding to the first associated data and first preview data corresponding to the second associated data after the first preview data corresponding to the remaining first edge data, and arranges the first preview data corresponding to the first associated data and the first preview data corresponding to the second associated data in an order from a large number of second repetition times t of a plurality of first content data included in the first result data to a small number, wherein the final arrangement order is as follows: the system comprises a processor, a first arranging sequence, a second arranging sequence, a first tiger live broadcast, a first live broadcast activity, a first live broadcast anchor, a first tiger news, a second tiger video, a first game live broadcast, a first live broadcast video, a first trembler, a second goby, a penguin and a first live broadcast news, and the first arranging sequence is converted into the first arranging sequence.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.

Claims (9)

1. A data query analysis system, characterized by: comprises that
A database in which a first arrangement order and first personal tag data of a user are prestored;
a user terminal for inputting first query data;
the data splitting module is used for receiving first query data sent by a user terminal and splitting the first query data into at least one first content data;
a display module that displays a plurality of first preview data corresponding to the first content data in a first arrangement order;
a capturing module for capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
a processor for identifying first personal tag data of a user and converting the first arrangement order into a second arrangement order in a first method according to the first personal tag data.
2. A data query analysis system as claimed in claim 1, wherein: the first method comprises the following steps:
the processor converts first content data and the corresponding first selection times S into first personal tag data and adds the first personal tag data to user data according to the first selection times S of the Lth first preview data corresponding to the first content data selected by a user in a third unit time, and when the user inputs the first content data corresponding to the first personal tag data, the processor preliminarily converts the Lth first preview data corresponding to the first content data in a first arrangement sequence into the (L-S) th first preview data, and outputs a ranking coefficient R according to the following formula I:
r ═ L + S; (formula one)
And the processor rearranges (L-S) identical (L-S) first preview data according to the sequence of the ranking coefficient R from large to small, and converts the rearranged (L-S) first preview data into a second arrangement sequence.
3. A data query analysis system as claimed in claim 2, wherein:
the step of "capturing the number of times of the first preview data corresponding to the first content data being selected within a second unit time before the first query data is input" may include: capturing the number of times that the time for the user to browse the selected first preview data corresponding to the first content data exceeds a second preset threshold within a second unit time.
4. A data query analysis system as claimed in claim 3, wherein:
in the step of preliminarily converting, by the processor, the lth first preview data corresponding to the first content data in the first arrangement order into the (L-S) th first preview data, when the (L-S) is an integer less than or equal to 1, the (L-S) is 1.
5. A data query analysis system as claimed in claim 4, wherein:
in the step of "and rearranging (L-S) identical (L-S) th first preview data according to the order of the ranking coefficient R from large to small", when the number of the preliminarily converted first preview data before the ranking of the (L-S) th first preview data is q, the (L-S) th first preview data is arranged from the (q +1) th first preview data.
6. A data query analysis system as claimed in claim 5, wherein:
and when the ranking coefficients of the at least two primarily converted first preview data are the same, the processor arranges the at least two first preview data according to the descending order of the first selection times S of the at least two first preview data, and converts the at least two first preview data into a second arrangement order.
7. A data query analysis system as claimed in claim 6, wherein:
and when the first selection times S of the at least two first preview data are the same, the processor converts the sequence of the at least two first preview data in the first sequence of arrangement into a second sequence of arrangement.
8. A data query analysis system as claimed in claim 7, wherein:
the second preset threshold value is 0.5-2 s.
9. A method for query analysis of data as claimed in claim 8, wherein: comprises that
Inputting first query data;
splitting the first query data into at least one first content data;
displaying a plurality of first preview data corresponding to the first content data in a first arrangement order;
capturing a number of times first preview data corresponding to the first content data is selected within a second unit time before the first query data is input;
first personal tag data of a user is identified, and the first arrangement order is converted into a second arrangement order in a first method according to the first personal tag data.
CN202111556353.6A 2021-12-17 2021-12-17 Data query analysis system and method Pending CN114218491A (en)

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