WO2018152995A1

WO2018152995A1 - History management method and device

Info

Publication number: WO2018152995A1
Application number: PCT/CN2017/090003
Authority: WO
Inventors: 艾东梅
Original assignee: 中兴通讯股份有限公司
Priority date: 2017-02-21
Filing date: 2017-06-26
Publication date: 2018-08-30
Also published as: CN108460050A

Abstract

Provided are a history management method and device. The history management method comprises: collecting a behavioral characteristic of a user carrying out browsing activities (S102); identifying an important history according to the behavioral characteristic of the user (S104); and managing the important history according to a preset management strategy (S106).

Description

History record management method and device

Technical field

This document relates to, but is not limited to, mobile communication technologies, and in particular, to a history management method and apparatus.

Background technique

Current history management, especially browser history browsing records, are usually grouped by access time or date and visible to everyone; or seamless browsing, without recording relevant history. For more important historical records, no effective management methods have been formed. For example, a user's history of interest or desire to look back needs to be manually collected, and these history records are either visible to everyone or have no relevant records in the invisible mode. It makes it difficult for users to find the records that they want to look back, and there are problems such as leaking access privacy, and it is impossible to form effective management of historical records.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

The embodiment of the invention provides a history record management method and device, which can effectively manage historical records.

According to an embodiment of the present invention, a history management method is provided, including: collecting user behavior characteristics during browsing; identifying important historical records according to the user behavior characteristics; managing the important historical records according to a preset management policy .

According to an embodiment of the present invention, a history management device is provided, including: a collection module: collecting user behavior characteristics during browsing; and an identification module: identifying an important history record according to the user behavior feature collected by the collection module; : managing the important history records identified by the identification module according to a preset management policy.

By collecting user behavior characteristics, such as collecting the time when the user browses the current page, or the speed at which the user swipes the page, or whether the user has long-pressed copy sharing, etc., it is possible to automatically and relatively accurately determine whether the user is interested in the page. When it can be considered that the user is interested in the page, the browsing history of the page can be recognized as an important history. For these important historical records, you can preset management policies, such as password access or access control policies that only specific users can access, or you can move these records to a preset area and follow the presets. The method performs classification management to form effective management of important historical records, thereby enabling users to protect their privacy while viewing the historical content of their own interest more conveniently.

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

BRIEF abstract

1 is a flow chart of a history management method according to an embodiment of the present invention;

2 is a flow chart of another history management method according to an embodiment of the present invention;

3 is a history management device applied in accordance with an embodiment of the present invention.

Embodiments of the invention

The invention will be described in detail below with reference to the drawings in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

An embodiment of the present invention provides a history record management method. FIG. 1 is a flowchart of a history record management method according to an embodiment of the present invention. The method includes the following steps:

S102: collecting user behavior characteristics during browsing;

By collecting the user behavior characteristics when browsing the interface, such as the time when the user browses the current page, the speed at which the user slides the page, or whether there is a long press to share or copy, it is judged whether the user has sufficient interest in the current interface. What needs to be mentioned is that the interface here includes various interfaces such as a web browser performance interface, a text reader performance interface, and a video player playback interface.

S104: Identify an important historical record according to the user behavior feature;

When the user behavior feature is collected, the judgment may be made by comparing with a preset value, for example, when the time when the user browses the current page is higher than 5 minutes, the current page corresponding to the browsing behavior is considered History is an important historical record. Optionally, a plurality of user behavior features may be converted into reference values for unified comparison. When the reference value converted by the behavior characteristic of the user under a certain page satisfies a preset condition, the history corresponding to the behavior may also be used. Records are considered important historical records.

In addition, the important history record may be a record for saving brief information such as a browsing page address, or a record for saving the content of the browsing page, and the information content saved in the history record may be flexibly configured according to the specific needs of the user or the system condition of the terminal. .

S106: Manage the important historical record according to a preset management policy.

When important historical records are identified, the default management strategy is used for classification management. For example, important historical records are stored in separate areas for subsequent access. Individual access control can also be performed for important historical records, so that important historical records can be obtained. Effective management.

Through the above method, important historical records are automatically identified and classified for management, thereby realizing effective management of important historical records and improving the user experience.

In a specific implementation, the user behavior feature in the method includes: a user behavior feature for reflecting a degree of interest of the user while browsing.

Usually, the user carefully reads the content of interest, so collecting the browsing page is a collection of user behavior characteristics that reflect the user's interest in the current browsing page. For example, the time the user stays on the webpage, the longer the stay time can be more directly judged. The user is more interested in the information on this page. For example, the speed of sliding the webpage can also be used to determine the reading speed of the user, thereby obtaining a judgment of whether the user is interested in the page. Long-press sharing or copying is also a sign of the directness of the user's interest. Therefore, for the collection of the above behavioral features, it is possible to more accurately determine whether the user has a clear interest in the corresponding page when collecting the action, thereby more accurately identifying the historical record on these browsing pages, and further improving the effect of effectively managing the historical record. It should be noted that the collected user behavior feature is not limited to the above features, and the user may also determine the page by collecting, for example, information that the user likes, time when the user focuses on the screen, and the number of times the user accesses the current page. The degree of interest, thus improving the accuracy of the judgment of important historical records, and further improving the effectiveness of effective management of important historical records.

In a specific implementation, the identifying, according to the user behavior feature, the important historical record in the method includes: converting a user behavior feature into a parameter value according to a preset method; and when the parameter value satisfies a preset condition, The history corresponding to the user behavior is identified as an important history.

For the user behavior characteristics, we can convert the information features into reference values according to the preset method. By comparing with the preset conditions, the judgment can be more conveniently realized. In particular, when a plurality of behavioral feature combinations are judged, the degree of interest of the corresponding browsing page can be more comprehensively obtained from the user behavior, thereby more accurately realizing the recognition of important historical records, thereby improving the effective management of important historical records. effect.

In a specific implementation, before the managing the important historical record according to the preset management policy, the method further includes: classifying the important historical record according to a preset classification policy; correspondingly, according to a preset The classification management policy manages the important history.

By classifying the identified important historical records and managing them according to the preset classification strategy, you can distinguish the important historical records again. For the historical records that are particularly important, you can set stricter access control in the management policy and Its display location is set at a more obvious location to further meet the user's need for privacy and the convenience of re-visiting, so as to better manage the important history.

In a specific implementation, the classifying the important history records according to a preset classification policy in the method includes: extracting text features of the important history record corresponding page; and inputting the extracted text features into text The classifier classifies the important historical records.

By extracting the text features in the important history corresponding pages and classifying them using the text classifier, the classification of important historical records can be realized in a relatively simple manner, for example, extracting titles, word segments, and removing stops on the corresponding pages of the important historical records. Using words, useless words, extracting feature values, selecting representative feature values to calculate the feature vector of the text, etc., and then inputting into the classifier, comparing with the text sets that have been classified in the classifier, thereby obtaining Classification results. In this way, the classification results can be obtained more accurately and quickly, so as to better realize the effective management of important historical records.

In a specific implementation, the method for constructing the text classifier in the method includes: acquiring a training corpus; extracting representative feature words in the training corpus; vectorizing the representative feature words; and vectorizing The processed representative feature words are classified to obtain a classified text set of the constructed text classifier.

To get the way to train the corpus, we can get it ourselves, or you can use the more authoritative corpus directly. Then extract representative feature words in the training corpus, for example, the text in the training corpus Words, remove useless words, extract feature information, and then select representative feature words. These representative feature words are then vectorized and classified to obtain a classified text set, and the text classifier is constructed by integrating these text sets. In this way, according to your own needs, you can choose a personalized corpus to build a text classifier that better meets the user's needs, and obtain better classification results, so as to better realize the effective management of important historical records.

In a specific implementation, the preset classification management policy in the method includes one or more of the following:

Presetting the user access rights of the historical records in each of the categories according to a preset classification; and preset a history record saving time in each of the categories according to a preset classification.

Different user access rights are preset for different categories. For example, "news", "military" and other information can be set to be accessible to all other users. "Shopping" information can be limited to only super users or create history. Record users can access, or require the password to access in order to get better access control. By presetting the classification record storage time, different storage times can be set for historical records of different importance, and for historical records such as news, which are relatively less important, can be set, for example, one month or another. Delete, but for a relatively high degree of importance or need to be permanently saved, you can set not to delete. According to different classifications, the classification record display area is set, and the more common or commonly used records are displayed more prominently, so that the user can access again. Through the combination of the above strategies, the effective management of important historical records is better realized.

In a specific implementation, the identifying the important history record in the method includes one or more of the following: identifying the important history record in the non-mark mode; and identifying the important history record manually deleted; correspondingly, The management of the important history according to the preset management policy includes one or more of the following:

And storing the important history record in the identified non-marking mode to the preset area; and storing the identified manually deleted important history record to the preset area.

By identifying the important historical records in the non-marking mode, or identifying important historical records that are manually deleted, it is possible to effectively protect important historical records from being lost in situations where the user needs to protect privacy or inadvertently delete important historical records. Store to a preset area for subsequent access and rights management for better historical history management.

According to an embodiment of the present invention, a history management method is provided, as shown in FIG. 2, including:

S211: Acquire a user behavior feature;

The user behavior feature can be used to determine if the user is interested in the web page. For example, according to the user's staying time on the webpage when browsing the webpage, the sliding speed of the webpage, whether there is a long-pressing sharing copy, and the like, the metric can also be determined by other user behavior characteristics. These features can be obtained in a variety of ways, including using sensors in the terminal to sense specific actions, or using a processor to analyze the properties of a particular action. For example, the length T of the web page is viewed, that is, the time Tstart is started from the time the web page is opened, and the end time Tend is left or closed. The time taken to browse the web page is T=Tend−Tstart. The sliding speed S of the finger on the webpage, assuming that Android collection is used here, the length of the distance that the finger swipes on the webpage per millisecond can be obtained by calling the Android system API VelocityTracker.computeCurrentVelocity(), that is, the sliding speed S=VelocityTracker.computeCurrentVelocity (). The finger presses the action L long, whether there is a long press action or a long press and then copy and share, if any, L=1, if not, L=0;

S212: Calculate user interest degree;

Assuming that the three specific behavioral features used in the previous case have been obtained, the user interest of the web page can be calculated by the following formula: W=T*a1+S*a2+L*a3, where a1, a2, a3 are Weight coefficient, which ranges from (0,1). If there are different numbers of behavioral features, different weighting coefficients can be set to calculate the user's interest, so that the user's interest can be judged together through multiple behavioral features.

S213: determining an important historical record;

Setting an interest degree threshold N, when the calculated current web user interest degree W>=N, the webpage is considered to be an important webpage, and the corresponding history record is placed in the important record data set. If W<N, it is considered The web page is not an important web page, and its corresponding history is not treated as a general ordinary record.

S221: construct a text classifier;

The classifier model construction process. Get a training corpus that you can get yourself or straight Use a more authoritative corpus. The text segmentation in the training corpus, the useless words are removed, the feature information is extracted, the representative feature words are selected, then the representative feature words are vectorized, and the classification algorithm is used for the calculation and classification process. The output is a classifier that classifies all the text in the corpus into the corresponding categories to form a classified text set. By constructing the text classifier, different training corpora can be selected according to different situations to obtain a text classifier that is more suitable for the specific use requirements of the user, thereby obtaining a better classification effect.

S222: classify the identified important historical records;

Each of the records in the important record data set judged in S213 is extracted from the title (the title is usually highly encompassed by the article content, and has typical representativeness, and the use of the text content is not excluded here) to perform word segmentation, extract feature values, and the like. The pre-processing, using the classifier constructed in S221, classifies the current record by comparing the pre-processed important history record with the already classified text set in the classifier.

In this way, automatic classification of important historical records can be realized, thereby avoiding the cumbersomeness of manual classification and further improving the management effect of important historical records.

S231: setting a classification management policy and managing the same;

Historical records are grouped into groups such as military, cultural, historical, entertainment, music, social, etc., and users can add protected tags to categories that they believe are important to protect. Individual individual records can also be manually added to the corresponding group. For historical records with protected tags, users can implement personalized decisions and perform subsequent management operations such as deletion, hiding, encryption, etc., in any form.

Further expansion, a group with the highest encryption protection level can be set to automatically store the access records generated by the user to switch to the webpage in the non-mark mode, and the records that are manually deleted and frequently appeared in the normal browsing mode by the user. . Whether this group is hidden or not, and when it is displayed, the user can control it through the switch.

Through the above historical record management method, effective identification of important historical records can be realized, and classification can be automatically performed and managed according to a preset classification management strategy, so that important historical records can be managed more finely and intelligently, and a good important history is obtained. Management effect.

According to an embodiment of the present invention, a history management device is provided, as shown in FIG. The collecting module 11 is configured to collect user behavior characteristics during browsing; the identifying module 12 is configured to identify an important historical record according to the user behavior feature collected by the collecting module; and the management module 13 is configured to manage according to a preset management policy. The important history recorded by the identification module 12 is recognized.

The collection module collects user behavior characteristics during browsing, and uses the identification module to identify whether the records corresponding to the user behaviors are important historical records, so that the classification of important historical records can be better automatically realized, and then these are adopted for the preset management policies. Management of important historical records enables management of authority control or storage settings for important historical records for better historical history management.

In a specific implementation, the apparatus further includes: a classification module configured to classify the important history records identified by the identification module according to a preset classification policy; the management module is further configured to manage according to a preset classification The policy manages the important history.

By classifying important historical records again through the classification module, it is possible to implement fine management of important historical records according to different categories, thereby obtaining better important historical record management effects.

The embodiment of the invention further provides a computer readable storage medium storing computer executable instructions, which are implemented by the processor to implement the method described in the foregoing embodiments.

Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and functional blocks/units of the methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical units; for example, one physical component may have multiple functions, or one function or step may be composed of several physical The components work together. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer readable medium, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and nonvolatile, implemented in any method or technology for storing information, such as computer readable instructions, data structures, program modules, or other data. , removable and Non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridge, magnetic tape, magnetic disk storage or other magnetic storage device, or may Any other medium used to store the desired information and that can be accessed by the computer. Moreover, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and can include any information delivery media.

The above description is only an alternative embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Industrial applicability

The above technical solution can realize automatic identification and classification management of important historical records, thereby effectively managing important historical records and improving the user experience.

Claims

A method of historical record management, including:

Collecting user behavior characteristics during browsing (S102);

Identifying an important history record according to the user behavior feature (S104);

The important history is managed in accordance with a preset management policy (S106).
The method of claim 1 wherein said user behavior characteristics comprise:

A user behavior characteristic that reflects the degree of interest of the user while browsing.
The method of claim 1 wherein said identifying an important history based on said user behavior characteristic (S104) comprises:

Convert user behavior characteristics into parameter values according to a preset method;

When the parameter value satisfies the preset condition, the history record corresponding to the user behavior feature is identified as an important history record.
A method as claimed in any one of claims 1 to 3, further comprising:

Sorting the important historical records according to a preset classification policy before the managing the important historical records according to the preset management policy (S106);

Accordingly, the important history is managed in accordance with a preset classification management policy.
The method of claim 4, wherein the classifying the important history records according to a preset classification policy comprises:

Extracting text features of the page corresponding to the important history record;

The extracted text feature input text classifier classifies the important history records.
The method of claim 5 wherein the method of constructing the text classifier comprises:

Obtain a training corpus;

Extracting representative feature words in the training corpus;

The representative feature words are vectorized;

The vectorized processed representative feature words are classified to obtain the classification of the constructed text classifier. Text set.
The method of claim 4, wherein the predetermined classification management policy comprises:

Presetting the user's access rights according to the user's browsing content; presetting the user access rights of the history records in each of the categories, and presetting the history record keeping time in each of the categories; or

Presetting the user access rights of the historical records in each of the categories according to the classification preset for the user browsing content; or

The history record retention time in each of the categories is preset according to a classification preset for the user to browse the content.
The method of claim 1, wherein said identifying an important history (S104) comprises one or more of the following:

Identify the important historical records in the non-marking mode;

Identifying the important history recorded manually;

Correspondingly, the managing the important history record according to the preset management policy (S106) includes one or more of the following:

Storing the identified important history in the seamless mode to a preset area;

The identified important history of manual deletion is stored to a preset area.
A history management device comprising:

Collection module (11): set to collect user behavior characteristics during browsing;

An identification module (12): configured to identify an important history record according to the user behavior feature collected by the collection module (11);

The management module (13): manages the important history records identified by the identification module (12) according to a preset management policy.
The apparatus of claim 9 further comprising:

a classification module: configured to classify the important history records identified by the identification module (12) according to a preset classification policy;

The management module (13) is further configured to manage the important history record according to a preset classification management policy.
A computer readable storage medium storing computer executable instructions that, when executed by a processor, implement the method of any one of claims 1-8.