CN111914142B - Time-division memory information retrieval system - Google Patents
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- CN111914142B CN111914142B CN202010753087.5A CN202010753087A CN111914142B CN 111914142 B CN111914142 B CN 111914142B CN 202010753087 A CN202010753087 A CN 202010753087A CN 111914142 B CN111914142 B CN 111914142B
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Abstract
The invention relates to the technical field of information retrieval, in particular to a time-division memory information retrieval system, which comprises a server, wherein the server comprises an input acquisition module: the search method comprises the steps of obtaining search conditions input by a user; and a retrieval processing module: the method comprises the steps of obtaining search results and sorting according to the relevance; and a display module: the method comprises the steps of displaying search conditions input by a user, search results and target results for the search results; and the classification recording module is used for: classifying a retrieval period for information retrieval; and the statistics storage module is used for: the method is used for memorizing and storing the retrieval conditions, the retrieval results and the retrieval times; and a retrieval processing module: and is also used for preferentially displaying the target result with the largest selection number. The invention solves the problems that a word and a segment possibly have a plurality of meanings due to huge data volume, so that when a user inputs the same search conditions to a search engine in different time periods, different search results can be obtained, and the search efficiency is lower.
Description
Technical Field
The invention relates to the technical field of information retrieval, in particular to a time-division memory information retrieval system.
Background
The internet is an important place for people to acquire information, but the information on the internet is vast and complicated, and is unordered, so that if a user wants to acquire the information, the user needs to search for the information by means of a search engine. Information retrieval refers to the process and technology by which information is organized in a certain manner and relevant information is found out according to the needs of the information user. Wherein, the search engine refers to a system for collecting information from the Internet and providing the information to users for inquiry after finishing. With the increasing pace of informatization, data is gradually and explosively increased every moment, and huge data volume causes one word and one segment to have multiple meanings. So that the user may obtain different search results when inputting the same search condition to the search engine in different time periods. For example, the user finds a satisfactory search result B at an early time by the search condition a. Then, due to different search periods, the satisfactory search result may not be the search result B but the search result C, which may be the last search result B, may be searched by the search condition a, so that a lot of time is required to search the search result C or turn over the history, resulting in lower search efficiency.
Disclosure of Invention
The invention aims to provide a time-division memory information retrieval system, which solves the problems that a word and a segment possibly have a plurality of meanings due to huge data volume, so that when a user inputs the same retrieval conditions to a search engine in different time periods, different retrieval results can be obtained, a great deal of time is required for searching, and the retrieval efficiency is low.
In order to achieve the above object, there is provided a time-lapse memory information retrieval system comprising a server, the server comprising,
an input acquisition module: the search method comprises the steps of obtaining search conditions input by a user;
and a retrieval processing module: the information searching method comprises the steps of carrying out information searching according to searching conditions, obtaining searching results and sorting according to relevance;
and a display module: the method comprises the steps of displaying search conditions input by a user, a plurality of search results obtained after sequencing, and a target result selected by the user from the plurality of search results;
and the classification recording module is used for: the information retrieval method comprises the steps of classifying retrieval periods of information retrieval, and recording the retrieval periods where the retrieval conditions are located when the retrieval conditions are input by a user;
and the statistics storage module is used for: the method comprises the steps of counting the selection times of target results selected by a user from a plurality of search results when the user inputs the same search conditions in the same search period, and memorizing the search conditions stored in the same search period, the target results corresponding to the search conditions and the selection times of different target results;
and a retrieval processing module: and the display module is also used for reading the target result corresponding to the search condition from the memory storage module and preferentially displaying the target result with the largest target result selection frequency when the user inputs the same search condition again in the same search period.
Working principle and advantages:
1. the classification record module is arranged, so that the search period can comprise a working period and a non-working period for social staff, wherein most of searched contents are related to work during the working period, and most of searched contents are related to life during the non-working period, such as eating and drinking, accommodation, travel, reading and learning, game entertainment and the like. When the same search conditions are input during the search in the working period and the non-working period, different search results may be needed, and the search periods of the information search can be classified through the classification recording module, so that the search period in which the search conditions are located can be conveniently known, and the desired search results can be conveniently obtained.
2. The statistics storage module is used for counting the selection times of the user on the target results when the user inputs the same search conditions in the same search period, and the search conditions in the same search period, the target results corresponding to the search conditions and the selection times of different target results are memorized and stored, so that data support can be conveniently provided for rapidly obtaining the desired search results, and the search efficiency is improved.
3. When the setting of the retrieval processing module, the retrieval conditions input by the user and the retrieval time period of the retrieval conditions can be searched from the memory storage module, the target result corresponding to the retrieval conditions is read, and the target result with the largest selection frequency is preferentially displayed through the display module. Thereby conveniently and rapidly obtaining the wanted retrieval result and further improving the retrieval efficiency.
Further, the classification record module specifically includes the following submodules:
and a time acquisition sub-module: time information for acquiring search conditions input by a user;
information retrieval classification sub-module: the method is used for classifying the retrieval time periods of information retrieval according to the calendar and judging the retrieval time periods where the retrieval conditions input by the user are located according to the time information.
The time acquisition sub-module can be used for conveniently acquiring the time information of the search condition input by the user, so that the search time period is conveniently divided. The information retrieval classification sub-module is arranged, so that the retrieval time period where the retrieval condition is located can be conveniently judged and analyzed according to the time information.
Further, the method also comprises the steps of,
identity information acquisition module: the method comprises the steps of acquiring identity information of a user;
the memory storage module specifically comprises the following submodules:
and (5) a search statistics sub-module: the method comprises the steps of counting the search times of searching the same search condition in the same search period when a user inputs the same search condition in the same search period, and counting the selection times of target results selected by the user from a plurality of search results;
a memory storage sub-module: the method is used for memorizing the search condition stored in the same search period, the search result corresponding to the search condition, the search times of the search condition to be searched, the target result corresponding to the search condition and the selection times of different target results in combination with the identity information of the user.
The setting of the searching and counting sub-module can conveniently provide data support for rapidly obtaining the wanted searching result by counting the searching times of searching the same searching conditions in the same searching period and counting the selecting times of the target result selected by the user from a plurality of searching results, thereby improving the searching efficiency. The memory storage sub-module can be used for memorizing and storing the retrieval information related to the user by combining the identity information of the user, so that the desired retrieval result can be conveniently and rapidly obtained.
Further, the retrieval period includes a working period and a non-working period, the non-working period including a life period, an entertainment period, and a learning period.
The setting of the working period and the non-working period is convenient for classifying the retrieval period, thereby conveniently and rapidly obtaining the wanted retrieval result.
Further, the retrieval processing module also comprises,
derivative cable detection submodule: the method is used for processing the search conditions to obtain an associated vocabulary group of the search conditions, searching the associated vocabulary in the associated vocabulary group to obtain related search information, and sequencing the associated vocabulary group according to the relevance.
The derivative retrieval sub-module is arranged, and the desired retrieval result is conveniently and rapidly obtained by acquiring and retrieving the association vocabulary group.
Further, the statistical storage module specifically further includes the following sub-modules:
and a retrieval period judging sub-module: and the searching statistical sub-module is used for acquiring the searching time period of the searching condition analyzed by the information searching classifying sub-module, searching whether the searching condition is the same as the searching time period or not from the memory storage sub-module according to the searching condition and the searching time period of the searching condition, and executing the searching statistical sub-module if the searching condition is the same as the searching time period.
The setting of the retrieval period judging sub-module is convenient for judging whether the retrieval period for analyzing the retrieval condition belongs to the memory storage sub-module or not.
Further, the method also comprises the steps of,
a history marking module: the method comprises the steps of marking a webpage for inputting search conditions in a history record as an original webpage, marking a webpage for displaying a plurality of search results as a first-level jump webpage, and marking a webpage of a target result selected from the plurality of search results as a second-level jump webpage; and so on, acquiring N-level jump webpages related to search conditions, wherein N is an integer;
history management module: in the history record, setting the original webpage and time information of the search condition as a first-level title, marking the first-level jump webpage corresponding to the original webpage as a second-level title, marking the second-level jump webpage corresponding to the first-level jump webpage as a third-level title, and so on, marking the N-level jump webpage as an M+1-level title, wherein M is an integer; and the method is also used for arranging and displaying all the titles of the grades according to the grade serial numbers and a preset data arrangement structure.
The setting of the history record marking module facilitates the concatenation of the related webpages by dividing the primary jump webpages, the secondary jump webpages and the up to N-level jump webpages. The method has the advantages that the situation that the user repeatedly inputs the search conditions and the history records are disordered only in a time ordering mode is avoided, and when the user needs to view the history records, the user can only click on the webpages one by one to search the wanted webpages, so that the search efficiency is greatly reduced. The history management module can arrange and display all the grades of titles according to the grade serial numbers and a preset data arrangement structure, so that the history is conveniently consulted, and further, a desired search result is quickly obtained.
Further, the preset data arrangement structure comprises a tree diagram structure and a directory structure.
The setting of the tree diagram structure and the directory structure is convenient for sorting and arranging the history records of the web pages, so that the browsing of the history records of the web pages is more convenient.
Further, the search habit statistics module: the system is used for statistically analyzing the retrieval habit of the user in a fixed period according to the retrieval conditions stored in the memory storage sub-module, the retrieval times of the retrieval conditions and the time information of the retrieval conditions in the retrieval condition time acquisition sub-module.
And the search habit statistics module is arranged, so that the search habits of the user can be conveniently analyzed.
Further, the statistical map includes a bar graph, a histogram, a graph, a circle graph, and a scatter graph.
The statistical diagram is convenient for showing the retrieval habit of the user.
Drawings
FIG. 1 is a logic diagram of an embodiment of a time-lapse memory information retrieval system according to the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
A time-division memory information retrieval system is basically shown in figure 1, and comprises a server, an input end and a display end, wherein the input end is a mouse and a keyboard, a user inputs retrieval conditions to the server through the mouse and the keyboard, and the display end is a display.
The server includes:
identity information acquisition module: the method comprises the steps of acquiring identity information of a user; such as the user's login account information, hobbies, job professions, etc. In this embodiment, the user's preference is for belt collection and the user's job occupation is for motor maintenance personnel.
An input acquisition module: for obtaining search conditions input by the user to the server via the mouse and the keyboard, and the user selecting a target result Y from a plurality of search results via the mouse and the keyboard n N is an integer greater than 1; for example, the search condition input to the server by the user via the mouse and the keyboard is "belt". "Belt" in life generally refers to leather waistband, which is one type of trousers belt, and also refers to wrist belt of watch; while the industrial "belts" are used for transmitting mechanical power, including flat-type transmission belts and delta-type transmission belts (V-belts). Is made up of rubber and reinforcing material (such as cotton canvas, rayon, synthetic fibre or steel wire, etc.).
And a retrieval processing module: for retrieving information according to the retrieval conditions, obtaining a retrieval result (Y 1 、Y 2 ～Y n ) Sequencing according to the relevance; search result (Y) 1 、Y 2 ～Y n ) For the target result Y n Is a set of (3). The retrieval processing module performs information retrieval according to the belt and sorts the information according to the relevance, so that a plurality of arranged retrieval results can be obtained.
And a display module: a search condition "belt" for displaying user input through the display, a plurality of search results obtained after sorting, and a target result selected by a user from the plurality of search results;
and the classification recording module is used for: the information retrieval method comprises the steps of classifying retrieval periods of information retrieval, and recording the retrieval periods where the retrieval conditions are located when the retrieval conditions are input by a user; the retrieval period includes a working period and a non-working period, the non-working period including a life period, an entertainment period, and a learning period.
The classification record module specifically comprises the following two sub-modules:
and a time acquisition sub-module: time information for acquiring search conditions input by a user; for example, the input time of the search condition "belt" is 09:00, and the time information of the search condition "belt" is 09:00.
Information retrieval classification sub-module: the method is used for classifying the retrieval time periods of information retrieval according to the calendar and judging the retrieval time periods where the retrieval conditions input by the user are located according to the time information. The holidays are removed according to the calendar in the dividing process of the retrieval period, and the Monday to friday can be divided into working periods, wherein the working periods can be further specifically divided, for example, 09:00-18:00. Since the time information of the search condition "belt" is 09:00, the search period of the search condition "belt" is judged to be divided into the operation period.
And the statistics storage module is used for: the method comprises the steps of counting the selection times of target results selected by a user from a plurality of search results when the user inputs the same search conditions in the same search period, and memorizing the search conditions stored in the same search period, the target results corresponding to the search conditions and the selection times of different target results;
the statistical storage module specifically comprises the following three sub-modules: the device comprises a retrieval period judging sub-module, a retrieval statistics sub-module and a memory storage sub-module.
And a retrieval period judging sub-module: and the searching statistical sub-module is used for acquiring the searching time period of the searching condition analyzed by the information searching classifying sub-module, searching whether the searching condition is the same as the searching time period or not from the memory storage sub-module according to the searching condition and the searching time period of the searching condition, and executing the searching statistical sub-module if the searching condition is the same as the searching time period. When the search condition input by the user is 'belt', and the search time period of the search condition 'belt' analyzed by the information search classification submodule is a working time period, and the search condition 'belt' is also memorized and stored in the memory storage submodule, and when the search time period is the data of the working time period, the search statistics submodule is executed.
And (5) a search statistics sub-module: the method comprises the steps of counting the search times of searching the same search condition in the same search period when a user inputs the same search condition in the same search period, and counting the selection times of target results selected by the user from a plurality of search results; for example, the search statistics sub-module counts the search times of the "belt" search as X in the working period, and counts the target result Y selected by the user from a plurality of search results n Is Z.
Memory storage submodule: search condition "belt" stored in the same search period for memorizing in association with the identity information of the user, search result (Y 1 、Y 2 ～Y n ) Search condition "belt" search times X, target result Y corresponding to search condition n And different target results (Y m ～Y n ) Number of selections (Z 1 ～Z k ) Wherein corresponds to the target result Y n Is selected to be Z n 。
And a retrieval processing module: and the method is also used for processing again in the same search period until the user inputs the same search condition, namely the search condition is 'belt', the search period is working period, and the target result Y corresponding to the search condition 'belt' can be read from the memory storage module n And preferentially displaying the target result Y through the display module n Then, the target result with the largest selection number is displayed.
The retrieval processing module may further comprise,
derivative cable detection submodule: the method is used for processing the search conditions to obtain an associated vocabulary group of the search conditions, searching the associated vocabulary in the associated vocabulary group to obtain related search information, and sequencing the associated vocabulary group according to the relevance. The associative vocabulary group of "belt" is, for example, a belt conveyor, belt pulley, wristband, waistband, etc.
A history marking module: for marking a web page in which a search condition "belt" is input in the history as an original web page, a plurality of search results (Y 1 、Y 2 ～Y n ) The web page of (2) is marked as a first-level jump web page, and a target result Y selected from a plurality of search results is selected n The web page of the (2) is marked as a second-level jump web page; and so on, acquiring N-level jump webpages related to search conditions, wherein N is an integer;
history management module: in the history record, the original webpage and time information of the search condition 'belt' are set as primary titles, primary jump webpages corresponding to the original webpage are marked as secondary titles, secondary jump webpages corresponding to the primary jump webpages are marked as tertiary titles, and the like, N-level jump webpages are marked as M+1-level titles, wherein M is an integer; and the method is also used for arranging and displaying all the titles of the grades according to the grade serial numbers and a preset data arrangement structure. The preset data arrangement structure comprises a tree diagram structure and a directory structure. The setting of the history record marking module facilitates the concatenation of the related webpages by dividing the primary jump webpages, the secondary jump webpages and the up to N-level jump webpages. The method has the advantages that the situation that the user repeatedly inputs the search conditions and the history records are disordered only in a time ordering mode is avoided, and when the user needs to view the history records, the user can only click on the webpages one by one to search the wanted webpages, so that the search efficiency is greatly reduced. The history management module can arrange and display all the grades of titles according to the grade serial numbers and a preset data arrangement structure, so that the history is conveniently consulted, and further, a desired search result is quickly obtained.
Search habit statistics module: the system is used for statistically analyzing the retrieval habit of the user in a fixed period according to the retrieval condition stored in the memory storage sub-module, the retrieval times of the retrieval condition, and the time information of the retrieval condition in the retrieval condition time acquisition sub-module, and displaying the retrieval habit through a statistical chart. The statistical graph includes a bar graph, a histogram, a graph, a circle graph, and a scatter graph. And the search habit statistics module is arranged, so that the search habits of the user can be conveniently analyzed. The statistical diagram can clean the retrieval habit of the display user.
Example two
The second embodiment is different from the first embodiment in that the server further includes the following modules:
the first search judgment analysis module: when the user inputs the search condition to the server through the input acquisition module, searching whether the same search condition exists in the memory storage sub-module, and judging that the search condition is the first input if the same search condition does not exist; if so, it is determined that the search condition is not the first input. And is further configured to acquire time information and a search period of the search condition input by the user through the classification recording module when the search condition is determined to be the first input, and byThe memory storage submodule stores the search condition, time information of the search condition, and a search period of the search condition. And is further configured to acquire a search result (Y 1 、Y 2 ～Y n ) And analyzing the kinds of the search results, and classifying the search results according to the kinds of the search results, for example, when the search condition is "belt", the kinds of the search results include leather belts commonly used in life, adhesive tapes industrially used for transmitting mechanical power, and shopping sites. And the method is also used for arranging the search results of each type in a descending order according to the click quantity counted by the big data to obtain a sorting list of the search results of each type, screening a fixed number of search results from the front column of each sorting list, and displaying the screened search results to a user. And the time acquisition sub-module is used for acquiring the target results selected by the user from the screened search results, acquiring the browsing time of the target results by the user, and obtaining the descending list of the target results which enables the user to be satisfied by comparing and analyzing the browsing time of a plurality of target results. And the memory storage submodule is also used for memorizing and storing the retrieval condition, the time information of the retrieval condition, the retrieval period of the retrieval condition and the descending order list of the target result of the retrieval condition.
The information retrieval system is also used for classifying the retrieval time periods of information retrieval through the classification recording module when the retrieval condition is judged not to be the first transmission, and recording the retrieval time periods where the retrieval condition is located when the retrieval condition is input by a user; judging whether the user inputs the same search condition in the same search period through a statistics storage module, if so, counting the selection times of target results selected by the user from a plurality of search results, and memorizing the search condition stored in the same search period, the target results corresponding to the search condition and the selection times of different target results; and then reading a descending list of target results corresponding to the search conditions from the memory storage module through the search processing module, and preferentially displaying the target results with the largest target result selection times in the descending list of target results through the display module.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (10)
1. A time-division memorizing information retrieval system, comprising a server, wherein the server comprises,
an input acquisition module: the search method comprises the steps of obtaining search conditions input by a user;
and a retrieval processing module: the information searching method comprises the steps of carrying out information searching according to searching conditions, obtaining searching results and sorting according to relevance;
and a display module: the method comprises the steps of displaying search conditions input by a user, a plurality of search results obtained after sequencing, and a target result selected by the user from the plurality of search results;
characterized by further comprising:
and the classification recording module is used for: the information retrieval method comprises the steps of classifying retrieval periods of information retrieval, and recording the retrieval periods where the retrieval conditions are located when the retrieval conditions are input by a user;
and the statistics storage module is used for: the method comprises the steps of counting the selection times of target results selected by a user from a plurality of search results when the user inputs the same search conditions in the same search period, and memorizing the search conditions stored in the same search period, the target results corresponding to the search conditions and the selection times of different target results;
and a retrieval processing module: the system is also used for reading the target result corresponding to the search condition from the memory storage module and preferentially displaying the target result with the largest selection frequency of the target result through the display module when the user inputs the same search condition again in the same search period;
the first search judgment analysis module is used for acquiring the time information and the search period of the search condition input by the user through the classification recording module, and memorizing and storing the search condition, the time information of the search condition and the search period of the search condition through the memorizing and storing submodule; meanwhile, obtaining a search result related to the search condition through a search processing module, analyzing the type of the search result, and classifying the search result according to the type of the search result;
the method comprises the steps of selecting a fixed number of search results from the front column of each sort list, and displaying the selected search results to a user;
the time acquisition sub-module is used for acquiring the browsing time of the user on the target results and obtaining a descending list of the target results satisfying the user by comparing and analyzing the browsing time of a plurality of target results;
and the memory storage submodule is also used for memorizing and storing the retrieval condition, the time information of the retrieval condition, the retrieval period of the retrieval condition and the descending order list of the target result of the retrieval condition.
2. The time-lapse memory information retrieval system as recited in claim 1, wherein: the classification record module specifically comprises the following submodules:
and a time acquisition sub-module: time information for acquiring search conditions input by a user;
information retrieval classification sub-module: the method is used for classifying the retrieval time periods of information retrieval according to the calendar and judging the retrieval time periods where the retrieval conditions input by the user are located according to the time information.
3. The time-lapse memory information retrieval system as recited in claim 2, wherein: also included is a method of manufacturing a semiconductor device,
identity information acquisition module: the method comprises the steps of acquiring identity information of a user;
the statistical storage module specifically comprises the following submodules:
and (5) a search statistics sub-module: the method comprises the steps of counting the search times of searching the same search condition in the same search period when a user inputs the same search condition in the same search period, and counting the selection times of target results selected by the user from a plurality of search results;
a memory storage sub-module: the method is used for memorizing the search condition stored in the same search period, the search result corresponding to the search condition, the search times of the search condition to be searched, the target result corresponding to the search condition and the selection times of different target results in combination with the identity information of the user.
4. The time-lapse memory information retrieval system as recited in claim 1, wherein: the retrieval period includes a working period and a non-working period, the non-working period including a life period, an entertainment period, and a learning period.
5. The time-lapse memory information retrieval system as recited in claim 1, wherein: the retrieval processing module may further comprise,
derivative cable detection submodule: the method is used for processing the search conditions to obtain an associated vocabulary group of the search conditions, searching the associated vocabulary in the associated vocabulary group to obtain related search information, and sequencing the associated vocabulary group according to the relevance.
6. A time-lapse memory information retrieval system as claimed in claim 3, wherein: the statistical storage module specifically further comprises the following sub-modules:
and a retrieval period judging sub-module: and the searching statistical sub-module is used for acquiring the searching time period of the searching condition analyzed by the information searching classifying sub-module, searching whether the searching condition is the same as the searching time period or not from the memory storage sub-module according to the searching condition and the searching time period of the searching condition, and executing the searching statistical sub-module if the searching condition is the same as the searching time period.
7. The time-lapse memory information retrieval system as recited in claim 1, wherein: also included is a method of manufacturing a semiconductor device,
a history marking module: the method comprises the steps of marking a webpage for inputting search conditions in a history record as an original webpage, marking a webpage for displaying a plurality of search results as a first-level jump webpage, and marking a webpage of a target result selected from the plurality of search results as a second-level jump webpage; and so on, acquiring N-level jump webpages related to search conditions, wherein N is an integer;
history management module: in the history record, setting the original webpage and time information of the search condition as a first-level title, marking the first-level jump webpage corresponding to the original webpage as a second-level title, marking the second-level jump webpage corresponding to the first-level jump webpage as a third-level title, and so on, marking the N-level jump webpage as an M+1-level title, wherein M is an integer; and the method is also used for arranging and displaying all the titles of the grades according to the grade serial numbers and a preset data arrangement structure.
8. The time-lapse, memory information retrieval system as recited in claim 7, wherein: the preset data arrangement structure comprises a tree diagram structure and a directory structure.
9. The time-lapse memory information retrieval system as recited in claim 1, wherein: also included is a method of manufacturing a semiconductor device,
search habit statistics module: the system is used for statistically analyzing the retrieval habit of the user in a fixed period according to the retrieval condition stored in the memory storage sub-module, the retrieval times of the retrieval condition, and the time information of the retrieval condition in the retrieval condition time acquisition sub-module, and displaying the retrieval habit through a statistical chart.
10. The time-lapse memory information retrieval system as recited in claim 9, wherein: the statistical graph includes a bar graph, a histogram, a graph, a circle graph, and a scatter graph.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007334402A (en) * | 2006-06-12 | 2007-12-27 | Hitachi Ltd | Server, system and method for retrieving clustered vector data |
| CN102682132A (en) * | 2012-05-18 | 2012-09-19 | 合一网络技术(北京)有限公司 | Method and system for searching information based on word frequency, play amount and creation time |
| CN109842812A (en) * | 2017-11-27 | 2019-06-04 | 深圳市雷鸟信息科技有限公司 | A kind of priority ordering method, smart television and the storage medium of more application programs |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7089036B2 (en) * | 2000-10-03 | 2006-08-08 | Cingular Wireless Ii, Llc | Location information erase on SIM cards |
| CN1858733B (en) * | 2005-11-01 | 2012-04-04 | 华为技术有限公司 | Information searching system and searching method |
| CN104484479A (en) * | 2014-12-31 | 2015-04-01 | 小米科技有限责任公司 | Webpage browsing processing method and device |
| CN105045883B (en) * | 2015-07-21 | 2020-12-25 | 惠州Tcl移动通信有限公司 | Mobile terminal and searching method thereof |
| CN105631007A (en) * | 2015-12-29 | 2016-06-01 | 云南电网有限责任公司电力科学研究院 | Industry technical information collecting method and system |
-
2020
- 2020-07-30 CN CN202010753087.5A patent/CN111914142B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007334402A (en) * | 2006-06-12 | 2007-12-27 | Hitachi Ltd | Server, system and method for retrieving clustered vector data |
| CN102682132A (en) * | 2012-05-18 | 2012-09-19 | 合一网络技术(北京)有限公司 | Method and system for searching information based on word frequency, play amount and creation time |
| CN109842812A (en) * | 2017-11-27 | 2019-06-04 | 深圳市雷鸟信息科技有限公司 | A kind of priority ordering method, smart television and the storage medium of more application programs |
Non-Patent Citations (2)
| Title |
|---|
| ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection;Yang Yu 等;《IEEE Access》;第6卷;第36977 - 36994页 * |
| 多媒体信息检索中的查询与反馈技术;查正军 等;《计算机研究与发展》;第54卷(第6期);第1267-1280页 * |
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