WO2016008389A1

WO2016008389A1 - Method of quickly browsing history information and time period information query system

Info

Publication number: WO2016008389A1
Application number: PCT/CN2015/083771
Authority: WO
Inventors: 谢成火
Original assignee: 谢成火
Priority date: 2014-07-16
Filing date: 2015-07-10
Publication date: 2016-01-21

Abstract

A method of quickly browsing history information and a time period information query system; the method comprising: taking as a single information unit components in the history information having a time attribute and one or more other common attribute, and labeling the information unit with the time attribute to be a time index of the information unit; and in response to a time period query from a client, acquiring information unit data in the time period, and presenting the data to the client.

Description

[Correct according to Rule 26 06.09.2015] A method for quickly flipping through historical information and time period information inquiry system

Technical field

The present invention generally relates to information organization, information query, and more relates to a method for quickly flipping through historical information and a time period information query system.

Background technique

With the continuous development of the Internet, more and more historical information, data, and documents have been deposited on the Internet. However, whether it is for ordinary Internet users or the owners of such historical data (such as websites), the use of such huge amounts of historical information or data is very limited.

At present, for ordinary Internet users, only through the "historical content page turning" provided by some websites and the "bottom content update" provided by some websites to view and access these historical information. However, the above two methods have great drawbacks: for every operation, they need to wait for content updates, which is very time consuming; the content and space of each update is very limited, and the content screening efficiency is very low; Or update, if the historical information of the review is very long, the number of operations and time is very unacceptable; each update, the user's mouse operation needs to move from the top to the bottom of the page, which is very cumbersome; Due to the lack of corresponding data prompts for the content to be updated, there is some kind of blindness. Finally, the above update operation is independent of each other and intermittent, no matter whether it is page layout or mouse operation. Operation, this experience also greatly reduces the enthusiasm of user operations. All of the above defects have led to very few users using the above two methods to read historical information, even if it is operated occasionally.

Occasionally, search engines allow users to view historical information, but the ratio of information that is viewed is almost insignificant compared to the total amount of historical information that is precipitated. The key issue is that because content homogeneity is ubiquitous, the owners of such historical information (such as websites) may need their information, but search engines often provide competitors' page information to users. Therefore, the use of historical information by search engines (equivalent to content distribution) is also negligible.

In reality, when we get a book that we like, thick, thick, and impossible to read the whole content, our usual main strategy and habits are to quickly pick it up and find the content that you like, and then Read it; another important strategy and habit is to look through the catalog to see if you are interested in the article. If you have enough time, you will turn it slower. If you don't have enough time, turn it faster. If you don't have content that you are interested in, turn it faster. Otherwise, turn it slower, so as not to miss the value. Content. Of course, for books of different thicknesses (total number of pages), even if the same speed is reversed, the page number of the page turned in a unit time is different.

In fact, in terms of content, a huge amount of historical content (such as a website) with a single source (type) is a favorite, thick, thick, and impossible to read the entire content for its users. The book, however, is currently the world's Internet site, or any other public service, but does not provide the historical information that we have used, which we have been used for centuries or even thousands of years, and that are always in use. Quickly flip through the ", free to view the directory", "free to turn faster" function.

Some time series search engine technologies, such as Chinese Patent Application No. 2007800448995, provide a method for monitoring events by time series by adding a time stamp index to time to retrieve and monitor specific events occurring at different specific time points, in essence. It is a timestamp retrieval technique. However, the above techniques do not help in the need to continuously and quickly read a large amount of historical information. To realize the functions of "following by hand", "arbitrarily viewing the directory", and "casually turning around", it is necessary to The historical information of the time period (equivalent to the "chapter" of the book) quickly jumps (turns pages) to the history information of the next connected unspecified time period (chapter), in which the client is matched with the corresponding time. Segment statistics (equivalent to matching "page number") for the user to determine whether it is necessary to continue "page turning". At this time, the user needs statistical data (page number), rather than specific information such as content, which is essentially "time period information query" instead of regular search or information retrieval.

Specifically, it is also necessary to consider satisfying a plurality of simultaneous reading requirements (operational behaviors): as a real book, when not "turning" to the target time period of historical information (equivalent to the "chapter" of a book), Just continue to "turn", at this time only need to match the time period statistics (equivalent to the "page number" in the chapter) for "page turning" reference, can not match the content index; has been "turned" to the target time In the segment, there will be a need to filter the content. In this case, it is necessary to match the time period statistics for "page turning" reference, and also provide a content index for filtering the content; if it is necessary to query the content of the specific keyword in the target time period Then, it is necessary to match the data of the time period corresponding to the keyword for "page turning" reference, and also to provide a content index matching the search result of the keyword for content review.

Therefore, it is very necessary to develop a time period information query system that quickly flips through historical information. On the one hand, it can help users to read a large amount of historical content, quickly filter a large amount of historical content, and quickly find and mine certain specific content. On the other hand, it can help history. Information owners improve service quality and get more revenue.

Summary of the invention

According to the method for quickly flipping through historical information and the time period information query system according to the present invention, the time index and the history information content index can be simultaneously compiled, and the time period information query can be provided. The time period information query data may include a historical information content index and corresponding time period statistics, on the one hand by providing intuitive time period statistics for the user to refer to whether it is necessary to continue operation and what operation is continued, and also by providing a specified time period. The historical information content index within the user allows the user to filter the specific information content, thereby avoiding missing important content. Combined with the appropriate operation interface, with the no-refresh content update, it is possible to achieve continuous and uninterrupted and arbitrarily changing different time periods to achieve rapid translation and screening of a large amount of historical information.

The embodiment of the invention provides a method for quickly flipping through historical information, including:

Forming, in the history information, a constituent unit having a time attribute and one or more other common attributes as a single information unit, and marking the time attribute as the time index of the information unit;

In response to the time period query from the client, the information unit data within the time period is obtained, and the data is presented to the client.

The response includes the following steps: dividing the time period into a plurality of consecutive and evenly divided sub-time segments; and according to the time index of the historical information, separately counting the number of information units in each sub-time period to generate a unified Time period statistics.

Further, the method further includes responding to the additional content indexing requirement of the client, and responding to the content indexing requirement of the client-added keyword.

In response to the additional content indexing requirement of the client, the responding step further includes extracting all or part of the information of the information unit in all or part of the time period as a content index, and presenting the content index to the client in chronological order.

In response to the content indexing requirement of the client-added keyword, the information unit used to count the time period statistics and the information unit used to extract the content index must satisfy the information title, information digest, and information in the information unit. The drawing, the information content or other information, or at least one of the above, contains the keyword.

In order to achieve the above object, the present invention provides a time period information query system for quickly flipping through historical information, comprising: a storage device for storing the historical information; and marking means for using the time attribute and the Or a constituent unit of a plurality of other common attributes, as a single information unit, and tagging it with the time attribute as a time index of the information unit; response means for responding to the client time period query, obtaining at the time Information unit data in the segment, and presenting the data to the client; the presenting device is configured to present the data acquired by the response device to the client; the client device is configured to send the time period query to the responding device, and Receiving information provided by the response device, and/or information data. The response device may further include: a time period processing device, configured to divide the reasonable time period into a plurality of consecutive and equally divided sub-time segments; and the statistical device, configured to count the number of information units in each sub-time period , generate unified time period statistics.

In one aspect of the invention, historical information is organized and time indexed for use in responding to and presenting results when the client initiates a time period query. The response method specifically includes the following steps: (1) the equalization time period is multiple sub-time periods; (2) separately counting the number of information units in each sub-time period, and generating unified time period statistics. By presenting time period statistics on the client, and in conjunction with a suitable operation interface, the present invention can achieve the purpose of quickly turning page history information.

In one aspect of the present invention, in response to the time period query from the client, and simultaneously responding to the content indexing requirement, the content index is presented in chronological order while presenting the time period statistics to the client. The user can quickly flip through the time period statistics, and the content can be filtered through the provided content index. Thus, the present invention achieves the goal of quickly screening historical information content on the basis of rapid page turning.

Further, another aspect of the present invention, in response to a time period query from a client, and simultaneously responding to a keyword-based content indexing requirement, presents a time period to the client that satisfies both the time period requirement and the keyword search requirement. Statistics, and chronological representation of content within a specified time period that meets keyword search needs. Thus, the present invention achieves the goal of quickly screening for specific content on the basis of rapid page turning.

Therefore, the present invention can simultaneously satisfy the needs of three aspects of reading: as a real book, when it is not "turned" to the target time period of the historical information (equivalent to the "chapter" of the book), it is necessary to continue to "turn over", at this time only It is necessary to match the statistics of the provided time period (equivalent to the "page number" in "Chapter") for reference without matching the content index; when "turning" to the target time period (target chapter), there will be screening content The requirement is that the content index is additionally provided at this time; if it is required to query the content with the specific keyword in the target time period, it is necessary to match the statistical data of the time period corresponding to the keyword for "turning the page", and additional information is required. Content index of search results that match the keyword for content review.

In a specific example, the invention will be further described.

Other aspects of the invention include software, computer systems and other devices corresponding to the above methods and applications for all of the above. Those skilled in the art of information review and information retrieval systems will understand the method and time period information query system of the present invention for extensive use and application in other fields.

The technical solution of the present invention will be further described in detail below through the accompanying drawings and specific embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

Figure 1 (Prior Art) is a schematic diagram of a time series search engine.

2 is a schematic flow chart showing the structure of a time period information inquiry system (single instance) for quickly flipping through history information according to the present invention.

3 is a schematic flow chart showing the structure of a time period information inquiry system (multi-instance comparison) for quickly flipping through history information according to the present invention.

4 is a schematic diagram of a historical information time attribute formatting processing method suitable for use with the inter-section information query system structure of FIGS. 2 and 3.

5 is a schematic flow chart of a complete method for a response method suitable for use with the inter-section information query system structure of FIGS. 2 and 3, and the omitted part shown in the figure has detailed phases in FIGS. 2 and 3. Corresponding content.

6 is a schematic diagram of a method of rendering processing of a time period statistical data portion suitable for use with the inter-section information query system structure of FIGS. 2, 3, and 5.

7 is a time period information query system for quickly flipping through history information in accordance with the present invention, wherein a partial screenshot of an instance of the client interface is shown.

The drawings depict embodiments of the invention for purposes of illustration only. Alternative embodiments of the structures and methods described herein can be employed without departing from the principles of the invention as described herein.

detailed description

FIG. 2 is a schematic diagram showing the structure of a time period information query system for quickly reviewing historical information (single instance), mainly for a simple time period query instance, and also for the current technical background "time series search engine" technology. Contrasting in order to understand the technical advantages of the present invention in quickly flipping through historical information.

However, in practical applications, it is rare to use only one simple time period query as described above, but to continuously accompany other more complex time period query requirements.

3 is a schematic flow chart of a (multi-instance comparison) structure of a time period information query system for quickly flipping through history information according to the present invention, which is a schematic diagram of the structure of three instances at the same time, so as to facilitate understanding through comparison. It is understood that the structural flow of the present invention in different embodiments is different. It should be noted that the present invention does not have to satisfy three instances to operate at the same time, and it does not mean that the three structural processes must exist at the same time. In fact, in general, any response to one time will only use one of the above examples.

The specific structural flow will be explained in detail below in conjunction with FIG. 2 and FIG. 3.

2 shows a software flow architecture of an embodiment of a time period information query system 200, and FIG. 3 illustrates a software architecture of a time period information query system 200 of various embodiments. As shown in FIG. 2 or FIG. 3, a storage device 210, a response device 220, a marking device for indexing (212), and a rendering device for presenting information (240) are included. The marking device may also belong to the same physical device as the storage device 210; the rendering device may also belong to the same physical device as the response device 220.

I. Brief introduction to the structural process

The example structure flow shown in Figure 2 (equivalent to the example 1 in Figure 3) is mainly for the simple time period query requirement 255: the user has not turned to the target time period (equivalent to the "target chapter" of the book), The purpose is to continue to page through. At this time, it is only necessary to provide time period statistics (equivalent to the number of pages) of the content of the target time period, and no content index is required.

First, in the historical information preparation phase, the history information 214 needs to be formatted 211 by using a component having a time attribute and one or more other common attributes as a single information unit, and secondly, establishing the information unit. Time index 215 (indexing 212).

In the response phase, the time period index information 215 is first used to perform the determining process 230 on the time period query request 255 (the specific determining method and process of the determining process 230 is described in detail below and in FIG. 5), if only a simple query is performed The demand of the time period statistics is divided into the time period 231 (the specific number of sub-time segments divided is described in detail below), and then the number of information units of each sub-time period is 232, and the statistical processing 234 each sub-time The number of information elements of the segment, forming time period statistics 235, is then presented to the client by presentation process 240 to form a suitable result 275.

For example 2 in FIG. 3, for the additional content index requirement 255, in addition to providing the statistics of the corresponding time period according to the above example 1, it is also necessary to provide a content index. The response process is divided into two parallel routes: one of the routes is a segmentation time period 231, and then the number of information units of each sub-period is 232, and the statistical processing 234 obtains the time period statistical data 235; the other route performs the content index. Process 236, on the one hand, obtains a time index 237 for sorting when the content index is rendered, and on the other hand generates a 238 content index 239 by retrieving the content. Finally, through the rendering process 240, the information obtained by the above two parallel routes is formed into a suitable result 275 for presentation to the client.

Example 3 in Figure 3, for additional keyword search requirements 255. Since the time period statistics and the content index must satisfy the keyword search requirement, the flow of the example 3 is different from that of the example 1 and the example 2. After the determination process 230, the flow is also divided into two parallel routes: one way is to first split the time period 231, and then according to the sub-time period and keywords to perform keyword search query 2336, after the statistical processing 234, obtain time period statistics 235; The second way then obtains the time index 237 directly from the keyword search 236 and the content index 239 through the search result content 238, which is used for sorting when the content index 239 is presented. Finally, through the rendering process 240, the information obtained by the above two parallel routes is formed into a suitable result 275 for presentation to the client.

In example 1, there is a query statistics process, but there is no content retrieval process; in example 2, there are both a query statistics process and a content index (content retrieval) process, but the query statistics process does not depend on the result of the content index; , there are query statistics at the same time Process and keyword content index (keyword search) process, but the query statistics process is directly related to keyword search results.

In practical applications, instance 1 is for fast page turning to reach the target time period as soon as possible, instance 2 is used for fast filtering content requirements after reaching the target time period, and instance 3 is for specific content needs (commonly used for global time period) Data mining).

II. The following describes the detailed structure process in sequence according to the sequence of processes for establishing services or the sequence of services themselves.

In practical applications, in order to provide services for customers and users as soon as possible, low cost, and as much as possible, the service of providing historical content can be provided to users or customers in the form of web pages. Scale content providers or commercial customers do not have to establish their own technical service architecture, and build duplicate services, unified by professional third-party operations, another convenient, can also provide users with a unified operating interface and experience.

To this end, a moderate-scale time-segment information web query service system 200 can be constructed according to the method of the present invention, and the history information 214 is stored by the corresponding storage server 210, and correspondingly scaled users are responded to by a series of moderate-scale response servers 220. Groups, while the user base of the client, can be a variety of networked devices, such as PCs, laptops or various mobile devices.

The invention can also be applied to a variety of devices through various software architectures, so as to provide quick access to historical information of different scales and levels.

1. Preparation of historical information

The present invention requires a constituent unit having a time attribute and one or more other common attributes in the history information as a single information unit, and marking it with the time attribute as a time index of the information unit.

Before implementing the present invention and providing technical services, it is first necessary to store historical information in a corresponding storage device in order to provide a service for quickly flipping through historical information. If the content provider provides its own services, it needs to perform unified time attribute formatting on the archived historical information. In general, all time attributes can be converted into timestamps and timestamp indexes can be established; if it is a technology provider A service that quickly browses historical information on behalf of a content provider can perform unified time attribute formatting, convert all time attributes into timestamps, and establish time while storing the historical content provided by the content provider. Poke index; of course, it is also possible for the technology provider to remotely call the content provider's library, and only need the corresponding historical information base to perform similar formatting.

2, the flow 211, 212 in FIG. 3 embodies the formatting process, which is embodied in that the time attribute of the information unit of the corresponding historical information is uniformly formatted, and generally, it can be uniformly converted into The timestamp is stored and the corresponding timestamp index is established.

The "historical information" described in this application may include typical historical information providers, such as websites, especially media websites and news websites, as well as social websites that continuously create user content. Their common feature is that The information created usually has a time attribute and is usually the creation time of the historical information.

On the other hand, it also includes documents with time attributes, many office documents, files, and photos, etc., all have creation time, although many documents will be classified, but when the number of files is large enough, the classification is relatively small. At that time, the documents in a certain folder or a certain type of archive are also difficult to find and difficult to browse. In this case, the method provided by the present invention can also be used to obtain better document search efficiency and search experience. Especially in some large commercial organizations, the number of documents is even larger.

Historical information providers prior to the use of the present invention, because of the storage and presentation of their existing historical information, because of the use of traditional methods, such as historical content page turning or bottom update, or simple folder mode, document classification mode, The time attribute may not be taken seriously, or the time attribute of many documents or information may be lost or lacked due to technical problems. At this time, it is impossible to format or store these document units or information units.

4 is a schematic diagram of a time attribute formatting processing method suitable for use with the inter-segment information query system structure of FIGS. 2 and 3, and in particular, a method for creating a time attribute for an information unit without a time attribute. Considering daily habits and technical habits, in general, the storage of documents or information is continuously updated on a batch-by-batch basis, while a general archive database assigns a storage id value to each information unit or document, so Basically, the same batch of deposited documents or information will generally have similar id values and similar time attributes (values). Therefore, if a document or information unit 310 lacks a time attribute, the attachment id can be The information element gives it, if the information unit of the connected id still has no time attribute, it is analogized as described above until the id with the time attribute is found; if there is no similar storage id, the 310 time attribute is discarded. Although the method is not necessarily very accurate, it does not matter whether the time attribute is accurate for the information element whose time attribute is lost. Therefore, the occurrence of an appropriate deviation does not affect the chance of the information unit being flipped through.

2. Specific response process introduction

(1) Process overview

Figure 5 is a schematic flow chart of a complete method suitable for use with the structure of the inter-section information query system of Figures 2 and 3, and the omitted part of the figure is detailed in Figures 2 and 3. The corresponding content is introduced. The

processes

2310, 2320, 2330, and 2340 are time period rationality judgment response processes and sequences; and the processes 2350 and 2360 are additional demand judgment response processes and sequences.

In actual web application examples, in order to improve the user experience and to eliminate possible human errors, it is generally to cure or format various user operations by curing the operation menu or interface. Similarly, the user operation time period requirement can represent different operation requirements according to different client menu interfaces, and various operation behaviors of the user via the client are converted into different operation information and sent to the corresponding time period information web query service system 200. Generally, the web response server 220 can obtain the parameters obtained by parsing the related service page, such as obtaining the GET by the url, or obtaining the corresponding parameter by using the POST method, thereby obtaining the corresponding client requirement.

Through the interaction between the web page and the user, it is convenient to obtain the time period demand data, whether there is data required for the keyword, and whether the data of the content index needs to be provided. After obtaining the data, it is possible to respond to different needs and provide different information feedback by judging the reasonableness of the time period and judging whether or not to carry the additional demand.

Different historical information, the starting time of the information unit is different, and the target time period of the same batch of historical information that each user needs to read is also different. Therefore, it is necessary to judge the time period from the client to ensure that it can be The user provides the appropriate service, otherwise, appropriate error or warning feedback is provided to allow the user to adjust the time period requirements.

For convenience of description, the time interval (time distance) of the earliest time and the last time of all information units having time attributes in the history information is collectively referred to as “history information total time period”, time period query requirement or time period. The query is collectively referred to as the "query time period."

In general, there are three possibilities for the time period query: the query time period is outside the total time period of the historical information, the query time period and the total time period of the historical information are partially coincident, and the query time period is in the total time period of the historical information. Inside. It is necessary to carry out different processing and response to these three situations as the main starting point. The following is a reasonable judgment method and process summary of the time period:

The process 2300 is configured to determine that the query time period is outside the total time period of the historical information;

The

processes

2320 and 2330 are used to determine whether the query time period and the total time period of the historical information partially overlap, and the processing of the situation;

The process 2340 is used to determine whether the duration of the query period is appropriate for the historical information.

The time period plausibility judging method mainly performs a comparison operation between the minimum time stamp A and the maximum time stamp B of the information unit in the historical information, and the minimum time stamp C and the maximum time stamp D of the query time period. The specific method and sequence are as follows:

The process 2300 is: acquiring a minimum timestamp A and a maximum timestamp B of the information unit in the historical information, and obtaining a minimum timestamp C and a maximum timestamp D of the query time period;

Flowchart 2310: If C>B or D<A, it indicates that the time range of the query time period is all outside the total time period of the historical information, otherwise it is part or all of the total time period of the historical information;

If the time range of the query time period is partially or completely within the total time period of the historical information (negative option of the process 2310), the process proceeds to the process 2320: if D>B, the query time period partially coincides with the total time period of the historical information, but ends. The time is out of range, otherwise the end time does not exceed the total time period of the historical information (including the query time period in the total time period of the historical information and partially coincides with the total time period of the historical information but the start time is beyond the range 2);

Excluding the query time period end time exceeds the historical information total time period range (negative option of process 2320), and also needs to determine whether the query time period start time is out of range, and proceeds to process 2330: the method is to compare the values of C and A, if C< A, indicating that the start time of the query time period is out of range, otherwise the query time period is all within the total time range of the historical information;

After confirming that the query time period is within the total time period of the historical information (negative option of the process 2330), the process proceeds to the process 2340: determining whether the time interval (time distance or duration) of the query time period is reasonable, that is, whether the value of D minus C is greater than A limit value (reasonable value), otherwise an error is indicated. The reason for the limitation of the query time period is limited.

There are also three possibilities for time period query additional requirements: additional keyword search requirements, additional content indexing requirements, no additional keyword searches, and no additional content indexing requirements.

The process 2350 is configured to determine whether there is an additional keyword search requirement in the time period query. Generally, when the relevant keyword parameter is detected, the additional keyword search requirement may be determined, otherwise the process proceeds to the next process;

The process 2360 is configured to determine whether there is an additional content index requirement in the query time period, and when the content index requirement parameter is monitored, and may be determined as a content index requirement, otherwise proceed to the next process;

When both processes 2350 and 2360 are negative options, it indicates that there is neither an additional keyword search requirement nor an additional content index requirement.

(2) Specific method flow

a) The query time period is outside the total time range of the historical information

When the process 2310 affirms the option, that is, C>B or D<A, it indicates that the query time period is outside the total time period of the historical information.

Since the user's query time period is completely wrong for the historical information, it is impossible to provide the service at all. Therefore, the simplest method is to directly prompt the client to "time range error"; a better method is to prompt the user. It should be selected within a certain range; the best way is to prompt the user to select the wrong time, and at the same time, prompt all the selection ranges to the user, and then provide the customer with the historical information in all optional ranges according to the normal service ( That is to provide the most comprehensive initialization interface).

The process demonstration of the department is carried out in the best way described above: firstly, the user needs to be prompted with the corresponding error message, such as "The time period you selected is out of range", and at the same time, provide a time range range option to be given to user. In view of the inability to guess the specific needs of users, the safest way is to prompt the user for all time periods covered by historical information, and let the user select the time period. As in reality, only knowing the specific page number of a book (thickness - equivalent to the total time period covered by historical information), you will flip through some of the selected chapters (time period of the query) to see if there is any Content that I am interested in.

In the process 2312 of FIG. 5, the initialization time period data is created. The specific steps are as follows: the difference between the time stamps B and A is the total time period of the initialization time period, and the total time period is divided into a plurality of predetermined averages. The sub-period 231, according to the time index 215 in the history information 214, respectively query the number of information 232 in each sub-period, and the statistical processing 234, forming the time-score statistics of the total time period of the historical information 214, that is, the historical information. Initialization time period statistics 2314. The flow chart of the present embodiment is illustrated, and reference may be made to parts of Example 1 in FIGS. 2 and 3.

The "multiple" of all "established multiple divided sub-periods" described in the present invention, and the mentioned "number of sub-periods", are specifically determined according to the service requirements and the load of the technology. . In general, the more the number of sub-periods, the more intuitive and accurate the statistical data (statistical graphs or curves) are formed; however, the resulting computational load is greatly increased, if the sub-period is more than a certain degree. Will cause the data to be queried and loaded very slowly, which will affect the experience and reduce the efficiency of scrolling. Therefore, the number of sub-time periods can be generally determined according to the actual historical information type, the amount of historical information, the accuracy requirement of the user or the customer, and the load of the corresponding computing device. The specific example, as shown in the time period statistical data display interface 410 in FIG. 7, can be operated in 8 sub-periods. On the one hand, it can form a more ideal and beautiful statistical curve. On the other hand, it is better to divide the time period. Because 8 is the denominator, any time period (length) can be divided. Third, because it is 8 sub-times. Segments also do not cause too much load on the system calculations, and in the end, do not cause too much query load on the database.

In addition, considering the user's habit problem, it is possible to initially test the number of sub-periods, and finally the number of relative fixed sub-periods for a long period of time.

The process 2311 generates an error message prompt, and the process 2313 error message prompt, generally can be directly completed by the client's JavaScript pop-up box, does not require special rendering processing, and the initialization time period statistics data 2314, still need to undergo a special presentation. The specific rendering method and examples of the processing 240 being displayed to the client will be explained in more detail in the "rendering" process.

The time period statistics data described in the present application are generally presented to the client in the form of a statistical graph or a statistical curve, so that the user can intuitively make a judgment. A specific example is shown in the time period statistical data display interface 410 in FIG.

In general, a variety of operational options can be implemented by presenting a suitable operating interface on the client through a suitable client program, which can reduce time-consuming manual input, avoid most human error, and more To be more efficient, which greatly improves the user experience and experience. In terms of time period query, it is also necessary to design this. In particular, for thousands of years, we humans have developed the habit of calculating the duration according to daily, weekly, monthly, and yearly times. They are also accustomed to using these common durations (time periods) to measure the habits of some things. Therefore, the fixed, customary, and customary time segments can be flipped forward or backward to be solidified on the client's operation interface, as shown in the operation interface 420 in FIG. 7, thereby enabling the user to press the daily, The operation of the historical information is read forward or backward every week, every month, every year, and the operation interface allows the user to change the length of the browsing at any time, such as changing from daily to weekly, monthly or yearly. .

In addition, according to the user's reading habits, according to the historical information data, before the user opens the corresponding service page, the default time period within the appropriate range, such as “last week”, is first provided, and the corresponding information is displayed. Users, in this way, can avoid errors that may occur when the user manually selects the time period for the first time.

Of course, when the user still needs a choice to enter a custom time period, a suitable time period can be provided to customize the selection operation interface for the user to select. For a specific embodiment, see the custom time period input box 422 in FIG.

b) The query time period and the total time period of the historical information partially overlap, but the end time exceeds the range

When the process 2310 in FIG. 5 denies the option, and the 2320 affirmative option, the query time period and the historical information total time period partially overlap, but the end time exceeds the time range provided by the historical information.

At this time, if B is assigned to D, the new value of the time period can be queried, and it can be guaranteed within the total time range of the historical information, and then the next response flow 2330 can be entered.

c) The query time period and the total time period of the historical information partially overlap, but the start time exceeds the range

When the process 2330 is a positive option in FIG. 5, it indicates that the query time period and the historical information total time period partially coincide, but the start time exceeds the time range provided by the historical information.

At this time, if A is assigned to C, the new value of the time period can be queried, and it can be guaranteed within the total time range of the historical information, and then the next response flow 2340 can be entered.

d) The start time and end time interval of the query time period are too short

When the process 2340 in FIG. 5 affirms the option, it indicates that the query time period is too short for the history information, the start time and the end time interval (length or time interval).

The reason why it is necessary to judge whether the query time interval is too small is because the interval between the time periods is too small, which may result in insufficient information to be read. Secondly, the amount of information is too small, which may cause the time period statistics to be difficult to read, thus affecting the browsing experience. It also wastes user time and queries the computing resources of the system. Therefore, it is used to determine whether the value of D-C of the process 2340 is less than a certain limit value, and the limit value here needs to be comprehensively considered according to different historical information, in particular, the number of historical information and the total time period of the historical information.

If the query time interval is too short, the warning 2341 can be generated by the client JavaScript and prompted to the client 2342.

Since the query time period of the local area is already within the total time period of the historical information, it is only necessary to provide a simple warning message, and no need to provide time period statistics and other additional content.

e) Additional keyword search requirements

As shown in FIG. 5, after the query period plausibility judgment (including the

processes

2310, 2320, 2330, 2340), after the process 2350, it is determined whether the "keyword requirement" is a positive option, indicating that the user's demand is "time". Segment query additional keyword search requirements".

The determination of the process 2350 may be performed by determining whether the service page is added with a predetermined keyword parameter such as a keyword or other presets through a GET or POST method. If the parameter is found and the keyword is verified to be valid, it may be determined that the key exists. Word requirements."

The determination of the additional requirements of the processes 2350 and 2360 can be performed by the exclusion method. In summary, when the process 2350 includes the keyword parameter, it is generally determined that the time segment query additional keyword search; the process 2360 includes the content index parameter, then the time segment query additional content index is determined; if the processes 2350, 2360 are negative The option, then the user is simply querying the time period statistics, and there is no additional content index and keyword search.

When the response page captures the keyword parameter and verifies that the keyword is a valid and valid keyword, then the subsequent process responds according to the process of the additional keyword requirement. In practical applications, the function of implementing additional keyword requirements can also be implemented by solidifying the search menu on the client, such as by adding a search box, such as the keyword search box 421 in FIG. 7, providing a typical keyword. Enter the search box. The validity and validity of the verification keyword can be completed or partially completed by the client JavaScript program, thereby preventing the web server from wasting resources for invalid requirements.

In conjunction with the illustrated content of Example 3 in FIG. 5 and FIG. 3, the response step or flow for the additional keyword requirement 255 includes two parallel response routes (see the graphical content of Example 3 in FIG. 3):

The first response route: the time segment 231 is divided, and the keyword search query 2336 is performed according to the sub-period and the keyword, and after the statistical processing 234, the time period statistical data 235 is obtained;

The second response route: the keyword search 236 is performed according to the query time period and the keyword. On the one hand, the time index 237 is directly used to guide the ordering of the content sequence, and the other aspect generates the content index 238 through the search result, thereby obtaining the content index. 239.

Finally, the time period statistics 235 and the content index 239 are presented to the client by the rendering process 239.

f) Additional content indexing requirements

As shown in FIG. 5, after the process 2350 negates the option, it is determined by the process 2360 whether the "content index requirement" is a positive option, indicating that the user's requirement is "time segment query additional content index requirement".

The process 2360 can determine whether the service page has a predetermined content index parameter set by a GET or POST method. If the parameter is found and the keyword is valid, the content index requirement can be determined.

The implementation of the function of implementing additional content indexing can also be achieved by curing the client page menu.

In conjunction with the illustrated content of Example 2 in FIG. 5 and FIG. 3, the response step or flow for the additional keyword requirement 255 includes two parallel response routes (see the graphical content of Example 2 in FIG. 3):

The first response route: splitting the time period 231, and then querying 232 for the number of information units of each sub-time period, after the statistical processing 234, obtaining time period statistics 235;

The second response route: Execution of the content indexing process 236, on the one hand, the time index 237 is obtained for sorting when the content index is presented, and on the other hand, the content index 239 is generated 238 by the retrieved content obtained.

g) No additional keyword search requirements and no additional content indexing requirements

As shown in FIG. 5, after the process 2360 negates the option, it indicates that the user's demand is "the time segment query has neither the keyword requirement nor the content index requirement".

Generally, the client request may be a simple time period data query by judging that the service page neither carries the keyword parameter nor carries the content index parameter.

The simple time period data query flow is as follows (see the graphical content of Example 1 in Figure 3):

Dividing the time period 231, and then querying 232 for the number of information units of each sub-time period, after the statistical processing 234, obtaining time period statistics 235;

Finally, the time period statistics 235 are presented to the client by the rendering process 239.

It is worth noting that the process of the department has neither a content search nor a process of providing content indexing.

3. Presentation processing

It should be noted that the presentation process may be part of the response process, and the presentation processing device may also be part of the response device. The local office and the response process are described independently, mainly for a large service system that quickly scrolls through historical information, and more It is biased towards independence to provide a better level of service and to provide more convenient extensions.

As mentioned earlier, simple hints or warnings can generally be prompted via JavaScript; however, for time period statistics, content indexing of keyword searches, or pure content indexing, special pages are required. Arrange to improve better visuals, operational experience, and efficiency.

In order to better display the time period statistics, the time period statistics can be parsed through a suitable client program such as a JavaScript program and the above analysis results can be displayed in the form of a statistical curve.

6 is a schematic diagram of a method for rendering processing of a time period statistical data portion suitable for use with the inter-section information query system structure of FIGS. 2, 3, and 5, and the method is as follows:

Step 2401: The client program parses the time period statistics obtained by the response, obtains the number of sub-time periods, and information data of each sub-time period;

Step 2402: Dividing and marking the start time of the query period, and the date and/or time of the split point of each sub-period, forming a date and/or time scale label;

Step 2403: Label the sub-time period information quantity data on the corresponding coordinates of the center position of each sub-period, to form the sub-time period information amount. Label point

Step 2404: Connect the above-mentioned sub-period information quantity label points with a straight line to form a vector graph of the global information quantity statistical curve of the query time period.

An example of a specific information volume statistical curve vector diagram is shown in the time period statistical data display interface 410 in FIG.

The presentation of the content index part is completely sorted and displayed according to the obtained time index. A presentation example of the specific content index portion is shown in the time period statistical data display interface 430 in FIG.

Providing the user with a suitable time period information statistical graph, a suitable curing time period selection operation interface, and a suitable content index display interface can provide a better service for the user to quickly browse through the historical information. FIG. 7 is a time period information query system for quickly flipping through historical information according to the present invention, wherein a screenshot of a sample case of the client interface partially explains the organization of the interface.

In addition, the present invention provides two public, and fully publicly available url service test pages:

One for the English interface, https://reuiew.com/resource.php? Source=techcrunch ;

Second, for the Chinese interface, and http://cn.reuiew.com/resource.php? Source=huxiu .

It can be demonstrated as a practical application case of the present invention.

The present invention has been described in detail in connection with the exemplary embodiments described above, but these are not to be construed as limiting the scope of the invention. It should be understood that the scope of the invention includes other implementations not discussed in detail above. Various modifications, changes and variations can be made in the details of the configuration, operation and method and apparatus of the invention disclosed herein without departing from the spirit and scope of the invention. It will be apparent to those skilled in the art. Therefore, the scope of the invention should be determined by the appended claims and the legal equivalents.

Claims

A quick way to flip through historical information, including:

Forming, in the history information, a constituent unit having a time attribute and one or more other common attributes as a single information unit, and marking the time attribute as the time index of the information unit;

In response to the time period query from the client, the information unit data within the time period is obtained, and the data is presented to the client.
The response to a time period query from a client according to claim 1, comprising the steps of:

Step (1) dividing the time period into a plurality of consecutive and equally divided sub-periods;

Step (2) separately counts the number of information units in each sub-period, and generates unified time period statistics.
The method according to claim 1, 2, wherein the step (1) of claim 2 divides the time period into a plurality of consecutive and evenly divided sub-periods, and further comprising determining the time period Whether the historical information is reasonable, if the time period is unreasonable, return the reasonable time period information of the client for reference selection.
The method according to claim 1, 2, wherein the client presents time period statistics, characterized in that the time period statistics are presented in the form of a graph or a statistical curve.
The method according to claim 1, wherein the response is from a time period query of a client, and further comprising: responding to a content index requirement from the client, and presenting corresponding content index information to the client; the content index information includes It is not limited to the title, abstract, drawing, content or information of other information units of the information unit.
The method according to claims 1, 2, and 5, wherein the response to the time period query from the client is characterized by further comprising the steps of:

Step (3) extracts all or part of the information of the information unit in all or part of the time period as a content index.
The method according to claim 1, 2, 5, and 6, wherein the presenting the data to a client according to claim 1, further comprising presenting the content index to a client.
The method of claim 1, 2, 5, 6, and 7, presenting the content index to a client, further characterized by presenting the content index in chronological order.
The method of claims 1, 2, 5, 6, and 7, wherein the response is a time period query from a client, and further comprising: a content indexing request responsive to the additional keyword.
According to the method of claim 1, 2, 5, 6, 7, and 9, the step (2) of claim 2 separately counts the number of information units in each sub-period according to the time index of the historical information, and generates The unified time period statistical data is further characterized in that the information title, the information digest, the information drawing, the information content or other information in the information unit, or at least one of the above, contains the keyword.
The method according to claim 1, 2, 5, 6, 7, and 9, wherein the step (3) of claim 6 extracts all or part of the information of all or part of the information unit in the time period as a content index, and features thereof. Also in the information The information title, the message digest, the information drawing, the information content, or other information in the unit, or at least one of the above, contains the keyword.
The method according to claim 1, wherein the time period query from the client is a continuous response and information presentation, and the continuity response is characterized in that the time period queries and responses that are connected twice are related to each other.
The method of claim 1 further characterized in that said history information can be any information, document, event, or any combination of the above, including time attributes; said time attribute can be information generation time, file marking time The event generation time and the like; other common attributes of the history information may be, without limitation, including a title, a summary, an author, a content, a copyright, a file name, a file type, a file size, or other attributes of the history information.
The method according to claim 1, further characterized in that, when the information unit in the history information lacks a time attribute, the time attribute of the information unit of the memory number adjacent thereto is assigned to it, if the adjacent information unit remains There is no time attribute, and so on, until there is an information element of the time attribute; the storage number is usually a unique positive integer number that is given to each information unit when the history information is stored; if there is no storage number, There is also no time attribute, and the time attribute is not marked for this information element.
The method according to claim 1, further characterized in that if the time attribute in the history information is not a time stamp, the time attribute is uniformly converted into a time stamp.
A time period information query system for quickly flipping through historical information, comprising:

a storage device, configured to store the historical information;

a marking device, configured to use, as a single information unit, a constituent unit having a time attribute and one or more other common attributes in the history information, and marking the time attribute as the time index of the information unit;

The response device is configured to: in response to the client time period query, acquire information unit data in the time period, and present the data to the client;

a rendering device, configured to present data acquired by the response device;

The client device is configured to send a time period query to the response device and receive data presented by the presentation device.
The time period information query system according to claim 16, wherein the response device specifically comprises the following devices:

(1) a time period processing device, configured to divide the time period into a plurality of consecutive and evenly divided sub-periods;

(2) a statistical device, configured to separately count the number of information units in each sub-time period according to the time index of the historical information, and generate unified time period statistical data;
The time period information query system according to claim 16, wherein the time period processing device further comprises determining means for determining whether the time period requirement is reasonable for the historical information, if the time period is unreasonable. And returning the reasonable time period information of the client for reference selection according to the historical information.
The time period information inquiry system according to claim 16, wherein the statistical means further comprises information processing means for extracting all or part of the information generation content of the information unit that satisfies all or part of the condition within the time period. index.
The time period information query system according to claim 16, wherein the marking means further comprises: time stamp converting means for unifying the time attribute when the time attribute in the history information is not a time stamp Convert to timestamp.