CN-114218491-B - Data query analysis system and method

CN114218491BCN 114218491 BCN114218491 BCN 114218491BCN-114218491-B

Abstract

The invention relates to a data query analysis system and a method thereof, wherein the data query analysis system comprises a database; the system comprises a user terminal, a data splitting module, a display module, a capturing module and a processor, wherein the processor is used for identifying first personal tag data of a user and converting the first arrangement sequence into a second arrangement sequence according to the first personal tag data in a first method. According to the invention, the first personal tag data of the user is identified through the processor, 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, and the query result is matched with the retrieval and selection behaviors of the user more, and more intelligent and humanized data query experience is realized.

Inventors

PANG XIAOBING
CHEN HUAIDONG
SONG JUNQIANG
LU BING
LI XIAOLE

Assignees

深圳市智百威科技发展有限公司

Dates

Publication Date: 20260512
Application Date: 20211217

Claims (4)

1. The data query analysis system is characterized by comprising a database, a first data processing unit, a second data processing unit and a data processing unit, wherein the database is pre-stored with a first arrangement sequence and first personal tag data of a user; a user terminal for inputting first query data; The data splitting module is used for receiving first query data sent by the user terminal and splitting the first query data into at least one piece of first content data; a display module for displaying a plurality of first preview data corresponding to the first content data in a first arrangement order; a capturing module for capturing the number of times of first preview data corresponding to the first content data selected in 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; The processor converts first preview data corresponding to first content data with more first selection times into first core data with the number x according to the first selection times of the first preview data corresponding to the plurality of first content data, which are selected in the fourth unit time and are more than a third preset threshold value, and converts first preview data corresponding to first content data with less first selection times into first edge data with the number y; The processor adjusts the first arrangement sequence of the first preview data containing the intersection of the x-number of first core data and the y-number of first edge data to the first order and converts the first arrangement sequence into the second arrangement sequence, adjusts the first arrangement sequence of the first preview data corresponding to the remaining first core data to the first order and converts the first arrangement sequence into the second arrangement sequence, and adjusts the first arrangement sequence of the first preview data corresponding to the remaining first edge data to the first preview data corresponding to the remaining first core data and converts the first arrangement sequence into the second arrangement sequence.
2. A data query analysis system as claimed in claim 1, wherein: The step of capturing the number of times of the first preview data corresponding to the first content data selected in a second unit time before the first query data is input is to capture the number of times that the time of the user browsing the first preview data corresponding to the first content data selected exceeds a second preset threshold in the second unit time.
3. The data query analysis system of claim 2, wherein the second predetermined threshold is 0.5-2 s.
4. A data query analysis method is characterized by comprising the steps of 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 the number of times of first preview data corresponding to the first content data selected in a second unit time before the first query data is input; identifying first personal tag data of a user, and converting the first arrangement sequence into a second arrangement sequence by a first method according to the first personal tag data; The processor converts the first preview data corresponding to the first content data with more first selection times into first core data with the number x according to the first selection times of the first preview data corresponding to the first content data, which are selected in the fourth unit time and are more than a third preset threshold value, and converts the first preview data corresponding to the first content data with less first selection times into first edge data with the number y; The processor adjusts the first arrangement sequence of the first preview data containing the intersection of the x-number of first core data and the y-number of first edge data to the first order and converts the first arrangement sequence into the second arrangement sequence, adjusts the first arrangement sequence of the first preview data corresponding to the remaining first core data to the first order and converts the first arrangement sequence into the second arrangement sequence, and adjusts the first arrangement sequence of the first preview data corresponding to the remaining first edge data to the first preview data corresponding to the remaining first core data and converts the first arrangement sequence into the second arrangement sequence.

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 users. Background Most of the current search engines for data query use can only use specific computer programs to collect information, and the information is displayed to users after a certain organization and processing. The existing data query method does not have an analysis function, can not always give the personal tag to the user by learning and recording the retrieval behaviors of the user, and can not update the personal tag and the data tag through multiple retrieval and selection behaviors of the user, so that the search result close to the selection tendency of the user is pushed to the user in a more forward mode, thus being not humanized and intelligent enough and not bringing good data query experience to the user. Thus, there is a need for a data query analysis system and method that can learn the retrieval and selection actions 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 pre-storing a first arrangement sequence and first personal tag data of a user; a user terminal for inputting first query data; The data splitting module is used for receiving first query data sent by the user terminal and splitting the first query data into at least one piece of first content data; a display module for displaying a plurality of first preview data corresponding to the first content data in a first arrangement order; A capturing module for capturing the number of times of first preview data corresponding to the first content data selected in a second unit time before the first query data is input; And the processor is used for identifying the first personal tag data of the user and converting the first arrangement sequence into the second arrangement sequence according to the first personal tag data in a first method. The processor converts first content data and the first selection times S corresponding to the first content data into first personal tag data according to the first selection times S of the L-th first preview data selected by a user in a third unit time and added to the user data, and when the user inputs the first content data corresponding to the first personal tag data, the processor primarily converts the L-th 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 (equation one) The processor rearranges the (L-S) -th first preview data of the same (L-S) according to the order of the ranking coefficient R from the high to the low, and converts the rearranged first preview data into a second arrangement order. The data query analysis system of the invention, wherein the step of capturing the number of times of the first preview data corresponding to the first content data selected in a second unit time before the first query data is input is to capture the number of times that the time of the user browsing the first preview data corresponding to the first content data exceeds a second preset threshold in the second unit time. In the data query analysis system of the present invention, in the step of the processor initially converting the (L-th) first preview data corresponding to the first content data in the first arrangement sequence into the (L-S) th first preview data, when the (L-S) is an integer of 1 or less, the (L-S) takes 1. In the data query analysis system of the present invention, in the step of rearranging the (L-S) -th identical (L-S) -th first preview data in the order of the ranking coefficient R from large to small, when the number of the preliminary transformed first preview data before ranking of the (L-S) -th first preview data is q, the (L-S) -th first preview data is arranged starting from the (q+1) -th first preview data. When ranking coefficients of at least two first preview data after preliminary conversion are the same, the processor arranges the at least two first preview data according to the order of the first selection times S of the at least two first preview data from big to small and converts the at least two 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 a first ordering into a second ordering. The invention discloses a data query analysis system, wherein the second preset threshold value is 0.5-2 s. The invention re