CN108960785B - Information prompting method and device - Google Patents
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- CN108960785B CN108960785B CN201810771967.8A CN201810771967A CN108960785B CN 108960785 B CN108960785 B CN 108960785B CN 201810771967 A CN201810771967 A CN 201810771967A CN 108960785 B CN108960785 B CN 108960785B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
Abstract
The invention provides an information prompting method and device, wherein the method comprises the following steps: acquiring historical behavior data of a mobile terminal user; determining information to be prompted according to the historical behavior data; and setting an information prompting task according to the information to be prompted. According to the embodiment of the invention, the information to be prompted corresponding to the user can be obtained according to the analysis of the historical behavior data of the mobile terminal user, the information to be prompted conforms to the behavior habit of the user, the information prompting task is automatically set according to the information to be prompted, and even if the user forgets to set the information prompting task in the mobile terminal, the mobile terminal can automatically set the information prompting task according to the behavior habit of the user so as to prompt the user in time.
Description
Technical Field
The present invention relates to the field of mobile communications, and in particular, to an information prompting method and apparatus.
Background
In order to avoid forgetting important things, people usually set an alarm clock at the mobile terminal to prompt information.
In the prior art, when information is prompted through an alarm clock of a mobile terminal, a user is generally required to preset the alarm clock, determine information content and time to be prompted, and then the mobile terminal prompts corresponding information content at the set time.
The applicant has found that the above technical solution has the following drawbacks: the user often forgets to set the alarm clock, so that the mobile terminal cannot send prompt information to the user and cannot prompt the user in time.
Disclosure of Invention
The embodiment of the invention provides an information prompting method and device, and aims to solve the problem that prompt is not timely due to the fact that information prompt depends on user setting.
In order to solve the technical problem, the invention provides an information prompting method, which is applied to a mobile terminal and comprises the following steps:
acquiring historical behavior data of a mobile terminal user;
determining information to be prompted according to the historical behavior data;
and setting an information prompting task according to the information to be prompted.
The embodiment of the invention also provides an information prompting device, which is applied to a mobile terminal and comprises the following components:
the historical behavior data acquisition module is used for acquiring historical behavior data of the mobile terminal user;
the to-be-prompted information determining module is used for determining to-be-prompted information according to the historical behavior data;
and the information prompting task setting module is used for setting an information prompting task according to the information to be prompted.
The embodiment of the present invention further provides a mobile terminal, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and when the computer program is executed by the processor, the steps of the information prompting method are implemented.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the foregoing information prompting method are implemented.
In the embodiment of the invention, the information to be prompted corresponding to the user can be obtained according to the analysis of the historical behavior data of the mobile terminal user, the information to be prompted conforms to the behavior habit of the user, the information prompting task is automatically set according to the information to be prompted, and even if the user forgets to set the information prompting task in the mobile terminal, the mobile terminal can automatically set the information prompting task according to the behavior habit of the user so as to prompt the user in time.
Drawings
Fig. 1 is a flowchart illustrating steps of an information prompting method according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating specific steps of an information prompting method according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of location information according to a second embodiment of the present invention;
FIG. 4 is a block diagram of an information presentation apparatus according to a third embodiment of the present invention;
fig. 5 is a block diagram showing a detailed structure of an information presentation apparatus according to a third embodiment of the present invention;
fig. 6 is a block diagram of a mobile terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
[ METHOD EXAMPLES ] As a method for producing a semiconductor device
Referring to fig. 1, a flowchart illustrating steps of an information prompting method in an embodiment of the present invention is shown. The method is applied to the mobile terminal, and comprises the following specific steps:
step 101: historical behavior data of a mobile terminal user is obtained.
In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
In specific application, historical behavior data of a mobile terminal user can be acquired according to a device identifier of the mobile terminal, such as a serial number of mobile terminal equipment; the historical behavior data of the mobile terminal user can also be obtained according to the identity information, registration information and the like set in the mobile terminal by the user, and it can be understood that a person skilled in the art can also obtain the historical behavior data of the mobile terminal user in storage devices such as a server and a cache in other manners according to the actual application scenario.
In the embodiment of the present invention, the historical behavior data of the mobile terminal user may specifically be: the mobile terminal user can determine the behavior habit of the user through historical behavior data in the aspects of position data, time data, social application chat data, memorandum recording data, identity setting data and the like within preset time, and further can be used for predicting the impending behavior of the user so as to provide corresponding prompt service. It can be understood that the preset time may be set according to an actual application scenario, for example, a month, a year, two years, and the like, which is not specifically limited in the embodiment of the present invention; the specific content of the historical behavior data may also be set according to the actual application scenario, as long as the behavior habit of the user can be determined, and further the behavior habit can be used to predict the upcoming behavior of the user, which is also not specifically limited in the embodiment of the present invention.
Step 102: and determining information to be prompted according to the historical behavior data.
In an actual application of the embodiment of the present invention, the specific implementation manner of determining the information to be prompted according to the historical behavior data may be: and judging whether the historical behavior data has a time identifier later than the current time, and if so, determining that the time identifier and the information content corresponding to the time identifier are the information to be prompted. Specifically, if the historical behavior data includes: the mobile terminal user's social application chat data, memo record data, etc., then it may be determined first whether the user includes a time stamp later than the current time in the chat log of the social application or in the data of the memo record, for example, if: "12 am tomorrow later, we go to restaurant a dining bar", the release time corresponding to the chat record is 2018, 5 month, 4 th, it can be determined that the time identifier of the chat record is 2018, 5 month, 6 day, noon, 12 am, if the current time is 2018, 5 month, 5 day, 8 hour, 30 minutes, it can be determined that the chat record contains a time identifier "12 am, 5 month, 6 day, 6 month, 2018 later than the current time", and the information content corresponding to the time identifier is "go to restaurant a for meal", it can be determined that "12 am, 6 month, 2018 year" and "go to restaurant for meal" are to be prompted. Alternatively, if the memo records: if the "6 th and 1 st day" give the package for the tomorrow era ", the" 6 th and 1 st day in 2018 "and the" give the package for the tomorrow era "can be determined as the information to be prompted. It can be understood that, a person skilled in the art may also determine corresponding information to be prompted according to an actual application scenario, and this is not specifically limited in the embodiment of the present invention.
In another practical application of the embodiment of the present invention, the specific implementation manner of determining the information to be prompted according to the historical behavior data may be: and judging the behavior habits of the user according to the historical behavior data of the user, and further determining the information to be prompted according to the behavior habits of the user. Specifically, if the historical behavior data includes: the position data, the time data, the identity setting data and the like can be used for determining the place where the user usually goes (the behavior habit of the user) in a certain period of time according to the position data and the time data, the reminding requirement of the user can be determined according to the identity setting data of the user, such as age, occupation and the like, and then the information to be reminded is determined according to the behavior habit and the reminding requirement of the user. For example, if it is determined that the user frequently leaves the area a at 8 am in the working day and arrives at the area B for about one hour, and then remains near the area B until leaving the area B at 18:00 pm and arrives at the area a again at about one hour until 8 am the next day, it may be determined that the area a is the living area of the user and the area B is the working area of the user, and if the user identity setting data is a working family, it may be determined that "8 am every day on the working day" and "go to work" are one of the information to be prompted, "18:00 a day on the working day" and "attendance card" are one of the information to be prompted, it may be understood that "9 am every day on the working day" and "attendance card" may be set as one of the information to be prompted, "7 am every day on the working day" and "get up preparation" are one of the information to be prompted, the embodiment of the present invention is not particularly limited to this.
In another practical application of the embodiment of the present invention, the specific implementation manner of determining the information to be prompted according to the historical behavior data may be: and judging the usual behavior areas of the user according to the historical behavior data of the user, and further determining corresponding information to be prompted for the distribution of the usual behavior areas. Specifically, if the historical behavior data includes: the position data, the time data, the identity setting data and the like can be used for determining the place (the behavior habit area of the user) where the user goes at a certain time period, the reminding requirement of the user can be determined according to the identity setting data of the user, such as age, occupation and the like, and then the information to be prompted in each habitual behavior area is determined according to the behavior habit and the reminding requirement of the user. For example, if it is determined that the user frequently leaves the area a at 8 am in a working day, arrives at the area B for about one hour, then remains near the area B until 18:00 pm leaves the area B, arrives at the area a for about one hour, and arrives at 8 am the next day, it may be determined that the area a is the usual living area of the user, and the area B is the usual working area of the user, if the user's identity setting data is a working family, it may be determined that one of the information to be prompted corresponding to the area a is "8 pm per day" on the working day "and" on duty "and one of the information to be prompted corresponding to the area B is" 18:00 pm per day "on the working day" and "on duty card" in the working day; it can be understood that one of the information to be prompted corresponding to the area a may also be set to "7 o 'clock per day" for getting up preparation "in the working day, and one of the information to be prompted corresponding to the area B may also be set to" 9 o' clock per day "for attendance card punching" in the working day.
Step 103: and setting an information prompting task according to the information to be prompted.
In the embodiment of the invention, after the information to be prompted is determined, the task can be prompted according to the corresponding set information of the information to be prompted. For example, the time corresponding to the time identifier in the information to be prompted may be set, a prompt such as a sound, a text, a picture, a vibration, and the like may be issued to the mobile terminal user, the information content of the task may be displayed while the prompt is issued, and when the time corresponding to the time identifier in the information to be prompted comes, the mobile terminal may prompt the user according to the information prompting task, which is not specifically limited in the embodiment of the present invention.
In the embodiment of the invention, the information to be prompted corresponding to the user can be obtained according to the analysis of the historical behavior data of the mobile terminal user, the information to be prompted conforms to the behavior habit of the user, the information prompting task is automatically set according to the information to be prompted, and even if the user forgets to set the information prompting task in the mobile terminal, the mobile terminal can automatically set the information prompting task according to the behavior habit of the user so as to prompt the user in time.
[ METHOD EXAMPLE II ]
Referring to fig. 2, a flowchart illustrating specific steps of an information prompting method in an embodiment of the present invention is shown. The method is applied to the mobile terminal, and specifically comprises the following steps:
step 201: acquiring historical behavior data of a mobile terminal user, wherein the historical behavior data comprises: location data, time data corresponding to the location data, user identity data, and historical prompting information.
In the embodiment of the present invention, the mobile terminal has a positioning function and may provide a Location Based Service (LBS), where the LBS is a Service for determining the actual location information (longitude and latitude coordinate data, such as three-dimensional data) of the mobile user through the cooperation between the wireless terminal and the wireless network, and specifically, the LBS may be a Service for acquiring the location information (longitude and latitude coordinates) of the mobile terminal user through a network (such as a GSM network and a CDMA network) of a telecommunication mobile operator.
In a specific application, the historical behavior data may include location data, time data corresponding to the location data, user identity data, and historical prompt information. The position data can be position coordinate data, and particularly can be historical position coordinate data of a mobile terminal user; each location datum corresponds to a time datum which can indicate the time when the mobile terminal user generates the location datum; the user identity data may be data for identifying the identity of the user, such as occupation, age, position, etc. set by the user; the historical prompting information can be prompting information set by a user in history, such as alarm clock prompting information at a certain time set in history and the like.
In specific application, historical behavior data can be stored in storage devices such as a server and a cache, and when the historical behavior data is initially collected and stored, a fixed collection period can be set, and the historical behavior data of a user can be periodically collected and stored. Then, the mobile terminal may obtain corresponding historical behavior data in the storage device according to the identifier of the user of the mobile terminal. It can be understood that, those skilled in the art may also collect and store historical behavior data in an adaptive manner according to an actual application scenario, and the embodiment of the present invention is not limited in particular.
As a preferred scheme of the embodiment of the present invention, the LBS function may be set in an alarm application of the mobile terminal, when the mobile terminal starts the alarm function, the mobile terminal may establish communication with a GPS positioning system of the mobile terminal, and the alarm application has a geographic coordinate authority that can acquire the mobile terminal, so that when the embodiment of the present invention performs information prompt, the mobile terminal may be positioned by the alarm application without additionally adding other positioning applications or devices.
Step 202: and carrying out clustering analysis on the position data to obtain area coordinate data.
In concrete applications, clustering is defined as the "process of dividing a set of physical or abstract objects into classes composed of similar objects".
In the embodiment of the present invention, there may be a plurality of position data in the historical behavior data, each position data may correspond to position coordinate data, as shown in fig. 3, each position region includes different amounts of position data, some position regions include more position data, some position regions include less position data, regions including more position data may be considered as regions where users are frequently located, and have a greater value for analyzing behavior hobbies of users, and regions including less position data may be considered as regions where users accidentally pass, and have a lesser value for analyzing behavior hobbies of users, so that region coordinate data including more position data and conforming to behavior habits of users may be obtained by performing cluster analysis on position data.
As a preferable solution of the embodiment of the present invention, the step of performing cluster analysis on the position data to obtain area coordinate data includes: clustering the position data through a first clustering algorithm to obtain a cluster data set; and taking the cluster data set as the input of a second clustering algorithm, and determining region coordinate data based on the second clustering algorithm.
In the embodiment of the invention, in order to increase the accuracy of the clustering analysis, the clustering analysis can be performed on the position data through two clustering algorithms.
In particular Applications, the first Clustering algorithm may be a DBSCAN Clustering algorithm, (DBSCAN (Density-based Clustering of Applications with Noise) DBSCAN is a maximum set of points that define clusters as connected in Density, can divide areas with sufficiently high Density into clusters, and can find clusters of arbitrary shape in a noisy spatial database, in contrast to the Kmeans method, DBSCAN does not need to know in advance the number of clusters to be formed, DBSCAN can find clusters of arbitrary shape, and at the same time DBSCAN can identify Noise points. They are respectively assigned to the cluster (represented by the cluster center) which is most similar to them according to their similarity (distance) to these cluster centers; then calculating the cluster center of each obtained new cluster (the mean value of all objects in the cluster); this process is repeated until the standard measure function begins to converge. The mean square error is generally used as a standard measure function.
In the embodiment of the invention, position data is clustered through DBSCAN to obtain a cluster data set; and then, the cluster data set is used as input of Kmeans to determine area coordinate data. The specific process is as follows:
firstly, density-based clustering is realized through a DBSCAN algorithm, abnormal points are removed, and an initial cluster class is generated. In a specific application, the abnormal point can be isolated position data, the isolated position data is usually far away from other position data, and the behavioral habits of the user cannot be well reflected in the coincidence degree of the isolated position data and the other position data, so that the abnormal point can be eliminated. The density of the radius of the activity of the user can be set in the algorithm, and it can be understood that the density of the radius of the activity can also be obtained through big data learning, for example, the density of the radius of the frequent activity of the user is determined through learning in advance through historical behavior data of the user; and adopting DBSCAN algorithm to aggregate the position coordinate data of the users into a cluster class of the user activity area according to the density reachable characteristic and the activity radius, which is concretely as follows:
step A1: initializing a core object set omega of a user activity area, an initial clustering cluster number k (activity area class number) and an initial cluster class division C.
Step A2: position coordinates x of all samples in a sample set (position coordinate point object)i(xiE.g. D), finding a neighborhood subsample set of the sample in an Euclidean distance measurement mode sequentially, and adding the sample into a core object set if sample information of the neighborhood subsample set meets a preset threshold value, wherein omega is omega and U.Xi. It can be understood that the preset threshold may be set according to the time for acquiring the location data, or may be adaptively adjusted according to the user identity data, such as different age groups, which is not specifically limited in the embodiment of the present invention.
Step A3: if the core object set omega is empty, finishing the clustering process to obtain the number k of clustering clusters and the cluster division C ═ C1,C2…CkElse go to step a 4.
Step A4: randomly selecting a core object O in a core object set omega, and initializing a current cluster core object queue omegacurThe current cluster sample set Ck is initialized to {. o }, with the update type number k {. k + 1.
Step A5: if the current cluster core object queue omegacurIf the cluster is empty, the current cluster generation is finished, and the updated cluster C is { C ═ C1,C2…CkAnd updating a core object set omega-CkThen step A3 is entered, otherwise step a6 is entered.
Step A6: from the current cluster core object queue omegacurTaking out a core object O', screening out all neighborhood subsample sets delta through the radius density of the user activity, removing classified samples from the neighborhood subsample sets delta, and updating the current cluster sample set Ck＝CkU delta and current cluster core object queue omegacur＝ΩcurU (Δ ≧ Ω), then proceed to stepStep a 5.
Then, taking the cluster data set C obtained in the DBSCAN step as input, and obtaining the centroid coordinate of each cluster by utilizing iterative solution of a Kmeans algorithm, namely the central coordinate of the user activity area, specifically as follows:
step B1: the initial class number is determined according to the input cluster C number, and the initial centroid coordinates of each class are randomly selected, it can be understood that the mean coordinates of all samples in each initial class may be adopted here, or the peak point coordinates in the time histogram may be selected according to the distribution of the acquired time information of all sample points in each class, which is not specifically limited in the embodiment of the present invention.
Step B2: and (4) calculating the dissimilarity (distance) of all sample points and all cluster centroid coordinates, and dividing the dissimilarity (distance) into corresponding clusters according to the principle of lowest dissimilarity.
Step B3: and B2 is entered to the step B, wherein the cluster centroid coordinates are obtained by counting again according to the division result and combining the time information of the sample points.
Step B4: and if the division result tends to be stable, ending the iteration and obtaining the center coordinates of the user activity area.
After the clustering is completed, the result is subjected to region division to obtain region coordinate data, and in practical application, the result can be generally divided into circular regions to obtain region coordinate data in the circular regions.
As a preferred mode of the embodiment of the present invention, before performing cluster analysis on the position data, position data meeting a preset condition may be determined.
In the embodiment of the invention, when the mobile terminal collects the position data, new position data can be generated when the coordinate of the mobile terminal is changed, so that the mobile terminal can always keep the latest coordinate position; the position data changes along with the change of the acquisition precision and the frequency, and after the position data is acquired, the position data is preprocessed, and the improper position data is deleted, so that the clustering analysis efficiency can be greatly improved. For example, position data with too short time interval is collected, and position data with too frequent time interval is meaningless if a user walks, stops or moves in a cell; further, for example, position data with too close spatial distance, such as user's activity at home, even if the coordinates change, it is meaningless because the distance is too small, and it can be optimized.
In a specific application, a certain time period threshold or distance threshold may be set to determine valid location data. Furthermore, for users with different identity data, the threshold value can also be adjusted in a self-adaptive manner, for example, the threshold value of an old user can be set slightly wider, and the threshold value of a young person should be stricter, so as to meet the requirement of the young person on high-precision information prompt.
According to the embodiment of the invention, the user position data meeting the preset conditions is obtained through preprocessing, so that the subsequent processing efficiency is improved, and the fluency and the accuracy rate of the overall information prompting task determination are greatly facilitated.
Step 203: and determining label position data corresponding to the area coordinate data according to the user identity data.
In the embodiment of the invention, corresponding label position data can be determined for the user according to different user identity data. For example, the coordinate position in the area coordinate data corresponds to a school, a business district located in the school, and the like, and if the user identity data indicates that the user is a student, for example, the age of the user identity data is set to 16 years old, or the occupation is set to a student, for the mobile terminal user, the tag position data corresponding to the area coordinate data may be determined to be a school; for example, if the user identification data indicates that the user is a working group, for example, the age of the user identification data is set to 30 years, or the occupation is set to a salesperson, the tag location data corresponding to the area coordinate data may be determined as a business area for the mobile terminal user. It can be understood that, according to an actual situation, a person skilled in the art may also determine, in other ways, tag position data corresponding to the area coordinate data according to the user identity data, which is not specifically limited in this embodiment of the present invention.
Step 204: determining at least one geofence corresponding to the mobile terminal user according to the correspondence of the tag location data with the time data.
In a specific application, Geo-fencing (Geo-fencing) is a new application of LBS, namely, a virtual fence is used to enclose a virtual geographic boundary. When a mobile device enters, leaves, or is active within a particular geographic area, the mobile device may receive automatic notifications related to the particular geographic area.
In the embodiment of the present invention, at least one geo-fence for each mobile terminal user may be generated according to tag location data determined for each mobile terminal user and time data corresponding to the tag location data. For example, taking the example of determining that the mobile terminal user is a salesperson in step 203, a work area geofence, a living area geofence, etc. for the salesperson may be generated, such that when the mobile terminal of the salesperson is in the work area geofence, the relevant content of the work area geofence may be received, and when the mobile terminal of the salesperson is in the living area geofence, the relevant content of the living area geofence may be received.
In the embodiment of the invention, the boundary coordinate of the clustered region coordinate data can be analyzed to generate a preliminary geo-fence, the preliminary geo-fence and the user behavior big data are trained and learned, and at least one geo-fence corresponding to the mobile terminal user is determined.
In a specific application, the method can be realized by adopting a Spark distributed processing engine, and a clustering task capable of parallelly executing geographic information positioning in a distributed environment is provided. The object is first used to model the user geographical coordinate information, which is placed in a distributed set (keys, values), i.e. PairRDD, while different key fields belong to different machines, and for geographical coordinate data, the keys are user identifiers and the values are the user's location aggregation table. When a new cluster is obtained, the PairRDD of the original position is converted into a new PairRDD, and the determination of the cluster-like bounding box is carried out. The process of determining the class cluster boundary is complex and various, and because many-to-many possibilities exist between the plane coordinate and the real ground object, the user position information meeting the preset conditions needs to be collected firstly, and the preset conditions comprise: the method comprises the steps of determining the geographic range (such as the southern street of Guancun in the Haizhou lake area of Beijing), identity information (the identity of students in a certain college of Beijing university), a specific scene (people transacting house purchasing procedures in a certain building of the West lake area of Hangzhou city), mobile equipment meeting conditions (a mobile phone connected with a wireless network at a certain position of the West lake area of Hangzhou city), and the like, then corresponding the information with the cluster range, and adopting a virtual fence to enclose a virtual geographic boundary on the basis, such as a circular geographic fence, a polygonal geographic fence, a linear geographic fence and a specific ground feature fence, such as a living area geographic fence, a school geographic fence, a business area geographic fence and the like. In addition, Spark has a special module to process SQL (Structured query language) data, events can be queried and filtered before event collection, Spark realizes a unified framework of SQL and machine learning through such channels, and such an extended data pipeline will provide more accurate clustering results for events of a specific category.
Step 205: and determining to-be-prompted information corresponding to the geo-fence according to the historical prompted information.
In the embodiment of the invention, after at least one geo-fence of the mobile terminal user is determined, the information to be prompted corresponding to each geo-fence can be respectively determined according to the corresponding relation between the geo-fence and the historical prompting information of the mobile terminal user. In a specific application, the geo-fence may correspond to a geographical area frequently visited by a mobile terminal user, and after obtaining the geographical area frequently visited by the user, it may be determined which geographical areas are frequently visited and checked in by a user and which areas are not. By determining the geographic fences, the behaviors of the user can be predicted, and the information to be prompted corresponding to each geographic fence can be determined by combining historical prompting information set in each geographic fence by the user, so that information prompting services such as intelligent alarm services and geographic position-based recommendation services are provided for the user, and more personalized user experiences are provided.
For example, in step 204, after determining the work area geofence and the living area geofence for the salesperson, the information to be prompted corresponding to the work area geofence may be automatically determined as follows: "work day 9:00 morning, work attendance punch card", "work day 18:00 afternoon, work attendance punch card", etc.; the information to be prompted corresponding to the life area geo-fence is as follows: "get up at 7:00 morning of working day", etc.; the information to be prompted can also be determined from the historical prompting information according to the historical prompting information set by the salesperson in the work area geofence and the living area geofence, which is not specifically limited in the embodiment of the present invention.
For another example, if it is determined that the mobile terminal user is a pupil, when the pupil enters a geographic fence of a school, the mobile terminal device may determine that the pupil safely arrives at the school by combining the current school time and the learning of past school behavior data of the child, such as past time spent on the road, time of arrival at the school, heartbeat and body temperature data of the child in the time period, and historical prompt information set in the mobile terminal of the pupil historically, so as to determine that the to-be-prompted information is: "now, send a safe arrival reminder to mom"; if the mobile terminal user is determined to be an old person, data returned by the mobile device on the old person during returning home are analyzed, for example, the time spent on going home, the total steps, the time for reaching a specific landmark and the like are analyzed, and whether the old person gets lost or not is analyzed by combining the current weather, road traffic, the current position, the route analysis between the current position and the home and the like, and if the old person gets lost through analysis, the information to be prompted can be determined to be: "at present, please ask for help from family", if it is analyzed that the old person is not lost, it can be determined that the information to be prompted is: "now, send out a safe arrival reminder to family", etc.
Step 206: and setting an information prompting task corresponding to each geo-fence according to the time identification and/or the information content of the information to be prompted corresponding to the geo-fence.
In the embodiment of the invention, after the information to be prompted corresponding to each geo-fence is determined, the information prompting task corresponding to each geo-fence can be set correspondingly according to the time identifier and/or the information content in the information to be prompted. For example, when the user is in a certain geo-fence, a prompt such as sound, text, picture, vibration, or the like may be sent to the mobile terminal user at a time corresponding to the time identifier in the to-be-prompted information corresponding to the geo-fence, and the information content of the task may be displayed at the same time when the prompt is sent, and when the time corresponding to the time identifier in the to-be-prompted information arrives, the mobile terminal may prompt the user according to the information prompting task, which is not specifically limited in the embodiment of the present invention.
Step 207: and acquiring the current position information of the mobile terminal.
Step 208: determining a current geo-fence corresponding to the current location information.
Step 209: and determining an information prompting task corresponding to the current geo-fence, and taking the information prompting task as the current information prompting task.
In the embodiment of the present invention, since the information prompting task corresponding to each geo-fence of the mobile terminal user is determined in step 206, the current location information of the mobile terminal may be further obtained, the current geo-fence corresponding to the current location information is determined, and the information set in the current geo-fence is determined as the current information prompting task.
In a specific application, if the geo-fence corresponding to the current location information cannot be determined, it may be that the mobile terminal user arrives at a place that is not frequently reached, at this time, other existing geo-fences that do not correspond to the mobile terminal user in the location may be determined according to the current location information of the user, and a current information prompting task is determined by prompting corresponding information in the other geo-fences. For example, when a user goes to a shopping mall in hong Kong, the current location information "hong Kong" does not correspond to the user's geofence because the user does not go on errands frequently, the geofence that has been preset by the shopping mall in hong Kong can be obtained at this time, for example, the geofence corresponds to a promotion of merchandise, a luxury brand location prompt, etc., and the current information prompt task is determined according to the location and activity time information of the store, for example, the user is prompted to buy a commodity, etc.
For another example, if the mobile terminal user is on business and arrives at a region in a different time zone, the region does not have a corresponding geo-fence for the mobile terminal user, and the difference of time difference results in that the existing alarm time is inconsistent with the time in the time zone, at this time, the geo-fence corresponding to the work and rest content in the time zone can be obtained, and then the current information prompting task of the user is determined.
Step 210: and sending the current position information and the current information prompting task to a target prompting device so that the target prompting device determines a target information prompting task according to the current position information and the current information prompting task.
In the embodiment of the present invention, taking the example that in step 205, it is determined that the information to be prompted is "send a safety arrival reminder to mom", the pupils may send the current position information and the current information prompting task of "send a safety arrival reminder to mom" to the target prompting device held by mom, such as a mobile terminal, so that the target prompting device may determine that the target information prompting task is: "now, the child is safe to arrive at school", and then the target is prompted in the form of a message, picture, etc. to prompt the device user. For another example, the appointment time and place are defined well with the friend, but due to traffic jam and other reasons, the appointment cannot arrive at the point in place, and at this time, the current position information can be sent to prompt the friend not to arrive too early, so that time is not wasted, and the like.
The embodiment of the invention enables the target prompt equipment user to know the current state of the mobile terminal user at any time through the interaction between the terminals.
In the embodiment of the invention, the information to be prompted corresponding to the user can be obtained according to the analysis of the historical behavior data of the mobile terminal user, the information to be prompted conforms to the behavior habit of the user, the information prompting task is automatically set according to the information to be prompted, and even if the user forgets to set the information prompting task in the mobile terminal, the mobile terminal can automatically set the information prompting task according to the behavior habit of the user so as to prompt the user in time.
It should be noted that the foregoing method embodiments are described as a series of acts or combinations for simplicity in explanation, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
[ third example of device ]
Referring to fig. 4, a block diagram of an information presentation apparatus 300 according to an embodiment of the present invention is shown. The method comprises the following steps:
a historical behavior data obtaining module 310, configured to obtain historical behavior data of the mobile terminal user.
And a to-be-prompted information determining module 320, configured to determine to-be-prompted information according to the historical behavior data.
An information prompt task setting module 330, configured to set an information prompt task according to the information to be prompted.
Preferably, referring to fig. 5, in addition to fig. 4, the information presentation apparatus includes:
the historical behavior data includes: location data, time data corresponding to the location data, and user identity data; the to-be-prompted information determining module 320 includes:
a region coordinate data determination submodule 3201, configured to perform cluster analysis on the position data to obtain region coordinate data;
a geofence determination submodule 3202 configured to determine at least one geofence corresponding to the mobile terminal user based on the user identity data, the region coordinate data, and the time data;
a to-be-prompted information determining submodule 3203, configured to determine, according to the historical prompted information, to-be-prompted information corresponding to the geo-fence;
the information prompt task setting module 330 includes:
the information prompting task setting sub-module 3301 is configured to set an information prompting task corresponding to each geo-fence according to the time identifier and/or the information content of the to-be-prompted information corresponding to the geo-fence.
The geofence determination submodule 3202 includes:
a tag position data determining subunit 32021, configured to determine tag position data corresponding to the area coordinate data;
a geofence determination subunit 32022, configured to determine at least one geofence corresponding to the mobile terminal user according to the correspondence of the tag location data and the time data.
The region coordinate data determination submodule 3201 includes:
a cluster data set determining subunit 32011, configured to cluster the position data through a first clustering algorithm to obtain a cluster data set;
a region coordinate data determination subunit 32012, configured to take the cluster data set as an input of a second clustering algorithm, and determine region coordinate data based on the second clustering algorithm.
Preferably, the method further comprises the following steps:
a current location information obtaining module 340, configured to obtain current location information of the mobile terminal;
a current geo-fence determination module 350, configured to determine a current geo-fence corresponding to the current location information;
a current information prompting task determining module 360, configured to determine an information prompting task corresponding to the current geo-fence, and use the information prompting task as the current information prompting task;
a sending module 370, configured to send the current location information and the current information prompting task to a target prompting device, so that the target prompting device determines a target information prompting task according to the current location information and the current information prompting task.
In the embodiment of the invention, the information to be prompted corresponding to the user can be obtained according to the analysis of the historical behavior data of the mobile terminal user, the information to be prompted conforms to the behavior habit of the user, the information prompting task is automatically set according to the information to be prompted, and even if the user forgets to set the information prompting task in the mobile terminal, the mobile terminal can automatically set the information prompting task according to the behavior habit of the user so as to prompt the user in time.
The mobile terminal can implement each process implemented by the mobile terminal in the method embodiments of fig. 1 to fig. 3, and details are not repeated here to avoid repetition.
Fig. 6 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention.
The mobile terminal 500 includes, but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, a processor 510, and a power supply 511. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 5 is not intended to be limiting of mobile terminals, and that a mobile terminal may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
Wherein, the processor 510 is configured to obtain historical behavior data of a mobile terminal user; determining information to be prompted according to the historical behavior data; and setting an information prompting task according to the information to be prompted.
In the embodiment of the invention, the information to be prompted corresponding to the user can be obtained according to the analysis of the historical behavior data of the mobile terminal user, the information to be prompted conforms to the behavior habit of the user, the information prompting task is automatically set according to the information to be prompted, and even if the user forgets to set the information prompting task in the mobile terminal, the mobile terminal can automatically set the information prompting task according to the behavior habit of the user so as to prompt the user in time.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 501 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 510; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 501 can also communicate with a network and other devices through a wireless communication system.
The mobile terminal provides the user with wireless broadband internet access through the network module 502, such as helping the user send and receive e-mails, browse webpages, access streaming media, and the like.
The audio output unit 503 may convert audio data received by the radio frequency unit 501 or the network module 502 or stored in the memory 509 into an audio signal and output as sound. Also, the audio output unit 503 may also provide audio output related to a specific function performed by the mobile terminal 500 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 503 includes a speaker, a buzzer, a receiver, and the like.
The input unit 504 is used to receive an audio or video signal. The input Unit 504 may include a Graphics Processing Unit (GPU) 5041 and a microphone 5042, and the Graphics processor 5041 processes image data of a still picture or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 506. The image frames processed by the graphic processor 5041 may be stored in the memory 509 (or other storage medium) or transmitted via the radio frequency unit 501 or the network module 502. The microphone 5042 may receive sounds and may be capable of processing such sounds into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 501 in case of the phone call mode.
The mobile terminal 500 also includes at least one sensor 505, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 5061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 5061 and/or a backlight when the mobile terminal 500 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 505 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 506 is used to display information input by the user or information provided to the user. The Display unit 506 may include a Display panel 5061, and the Display panel 5061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 507 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 507 includes a touch panel 5071 and other input devices 5072. Touch panel 5071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 5071 using a finger, stylus, or any suitable object or attachment). The touch panel 5071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 510, and receives and executes commands sent by the processor 510. In addition, the touch panel 5071 may be implemented in various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 5071, the user input unit 507 may include other input devices 5072. In particular, other input devices 5072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 5071 may be overlaid on the display panel 5061, and when the touch panel 5071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 510 to determine the type of the touch event, and then the processor 510 provides a corresponding visual output on the display panel 5061 according to the type of the touch event. Although in fig. 5, the touch panel 5071 and the display panel 5061 are two independent components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 5071 and the display panel 5061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 508 is an interface through which an external device is connected to the mobile terminal 500. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 508 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 500 or may be used to transmit data between the mobile terminal 500 and external devices.
The memory 509 may be used to store software programs as well as various data. The memory 509 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 509 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The processor 510 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 509 and calling data stored in the memory 509, thereby performing overall monitoring of the mobile terminal. Processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 510. The mobile terminal 500 may further include a power supply 511 (e.g., a battery) for supplying power to various components, and preferably, the power supply 511 may be logically connected to the processor 510 via a power management system, so that functions of managing charging, discharging, and power consumption are performed via the power management system.
In addition, the mobile terminal 500 includes some functional modules that are not shown, and thus, are not described in detail herein.
Preferably, an embodiment of the present invention further provides a mobile terminal, which includes a processor 510, a memory 509, and a computer program that is stored in the memory 509 and can be run on the processor 510, and when the computer program is executed by the processor 510, the processes of the above-mentioned information prompting method embodiment are implemented, and the same technical effect can be achieved, and in order to avoid repetition, details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned information prompting method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. An information prompting method is applied to a mobile terminal, and is characterized by comprising the following steps:
acquiring historical behavior data of a mobile terminal user;
determining information to be prompted according to the historical behavior data;
setting an information prompting task according to the information to be prompted;
wherein the historical behavior data comprises: the system comprises position data, time data corresponding to the position data, user identity data and historical prompt information;
the step of determining information to be prompted according to the historical behavior data comprises the following steps:
performing clustering analysis on the position data to obtain region coordinate data;
determining at least one geofence corresponding to the mobile terminal user based on the user identity data, the zone coordinate data, and the time data;
determining to-be-prompted information corresponding to the geo-fence according to the historical prompted information;
the step of setting an information prompt task according to the information to be prompted comprises the following steps:
and setting an information prompting task corresponding to each geo-fence according to the time identification and/or the information content of the information to be prompted corresponding to the geo-fence.
2. The method of claim 1, wherein said step of determining at least one geofence corresponding to said mobile terminal user based on said user identity data, said area coordinate data, and said time data comprises:
determining label position data corresponding to the area coordinate data according to the user identity data;
determining at least one geofence corresponding to the mobile terminal user according to the correspondence of the tag location data with the time data.
3. The method of claim 1, wherein the step of performing cluster analysis on the location data to obtain region coordinate data comprises:
clustering the position data through a first clustering algorithm to obtain a cluster data set;
and taking the cluster data set as the input of a second clustering algorithm, and determining region coordinate data based on the second clustering algorithm.
4. The method according to claim 1, wherein after the step of setting the information prompting task corresponding to each of the geo-fences according to the time identifier and/or the information content of the information to be prompted corresponding to the geo-fence, the method further comprises:
acquiring current position information of the mobile terminal;
determining a current geo-fence corresponding to the current location information;
determining an information prompting task corresponding to the current geo-fence, and taking the information prompting task as the current information prompting task;
and sending the current position information and the current information prompting task to a target prompting device so that the target prompting device determines a target information prompting task according to the current position information and the current information prompting task.
5. An information prompting device is applied to a mobile terminal, and is characterized by comprising:
the historical behavior data acquisition module is used for acquiring historical behavior data of the mobile terminal user;
the to-be-prompted information determining module is used for determining to-be-prompted information according to the historical behavior data;
the information prompting task setting module is used for setting an information prompting task according to the information to be prompted;
wherein the historical behavior data comprises: the system comprises position data, time data corresponding to the position data, user identity data and historical prompt information; the to-be-prompted information determining module comprises:
the area coordinate data determining submodule is used for carrying out clustering analysis on the position data to obtain area coordinate data;
a geofence determination submodule configured to determine at least one geofence corresponding to the mobile terminal user based on the user identity data, the region coordinate data, and the time data;
the to-be-prompted information determining submodule is used for determining to-be-prompted information corresponding to the geo-fence according to the historical prompted information;
the information prompt task setting module comprises:
and the information prompting task setting submodule is used for setting the information prompting tasks corresponding to the geo-fences according to the time identifications and/or the information contents of the information to be prompted corresponding to the geo-fences.
6. The apparatus of claim 5, wherein the geofence determination submodule comprises:
the tag position data determining subunit is used for determining tag position data corresponding to the area coordinate data;
a geofence determination subunit, configured to determine, according to the correspondence between the tag location data and the time data, at least one geofence corresponding to the mobile terminal user.
7. The apparatus of claim 5, wherein the region coordinate data determination submodule comprises:
a cluster data set determining subunit, configured to cluster the position data through a first clustering algorithm to obtain a cluster data set;
and the area coordinate data determining subunit is used for taking the cluster data set as the input of a second clustering algorithm and determining area coordinate data based on the second clustering algorithm.
8. The apparatus of claim 5, further comprising:
a current position information obtaining module, configured to obtain current position information of the mobile terminal;
a current geo-fence determination module to determine a current geo-fence corresponding to the current location information;
a current information prompting task determining module, configured to determine an information prompting task corresponding to the current geo-fence, and use the information prompting task as the current information prompting task;
and the sending module is used for sending the current position information and the current information prompting task to target prompting equipment so that the target prompting equipment determines a target information prompting task according to the current position information and the current information prompting task.
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Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109474750A (en) * | 2018-12-18 | 2019-03-15 | Oppo广东移动通信有限公司 | Method, apparatus, electronic equipment and the medium of alarm clock are set |
| CN109660674B (en) * | 2019-01-30 | 2021-03-16 | 维沃移动通信有限公司 | Method for setting alarm clock and electronic equipment |
| CN110304073B (en) * | 2019-06-26 | 2021-07-23 | 中国第一汽车股份有限公司 | Driving assistance method, fence generation method, corresponding devices and server |
| CN110445937B (en) * | 2019-09-16 | 2021-09-21 | Oppo（重庆）智能科技有限公司 | Event reminding method and related product |
| CN110648509B (en) * | 2019-09-25 | 2020-12-11 | 珠海格力电器股份有限公司 | Method, device and system for generating prompt message |
| CN111294389A (en) * | 2020-01-16 | 2020-06-16 | 维沃移动通信有限公司 | Information pushing method and electronic equipment |
| CN111581539B (en) * | 2020-04-23 | 2023-05-16 | 贵州力创科技发展有限公司 | Position positioning method and device based on virtual user permission |
| CN111750891B (en) * | 2020-08-04 | 2022-07-12 | 上海擎感智能科技有限公司 | Method, computing device, and computer storage medium for information processing |
| CN113156801A (en) * | 2021-01-28 | 2021-07-23 | 胤迈医药科技(上海)有限公司 | Watch capable of communicating |
| CN113055531B (en) * | 2021-03-26 | 2022-08-16 | 展讯半导体(南京)有限公司 | Time reminding method and system of intelligent terminal, electronic equipment and medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105144144A (en) * | 2013-03-05 | 2015-12-09 | 谷歌公司 | Configurable point of interest alerts |
| CN105474671A (en) * | 2013-06-28 | 2016-04-06 | 谷歌公司 | Clustering geofence-based alerts for mobile devices |
| CN107491474A (en) * | 2017-06-26 | 2017-12-19 | 北京三快在线科技有限公司 | Information recommendation method and device |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9843895B2 (en) * | 2014-05-30 | 2017-12-12 | Apple Inc. | Location-based services for calendar events |
| CN105847310A (en) * | 2015-01-13 | 2016-08-10 | 中国移动通信集团江苏有限公司 | Position determination method and apparatus |
| CN105279957B (en) * | 2015-10-30 | 2018-03-06 | 小米科技有限责任公司 | Message prompt method and device |
| US20180189835A1 (en) * | 2017-01-05 | 2018-07-05 | International Business Machines Corporation | Geofence system |
| CN107391605A (en) * | 2017-06-30 | 2017-11-24 | 北京奇虎科技有限公司 | Information-pushing method, device and mobile terminal based on geographical position |
| CN107277275A (en) * | 2017-08-02 | 2017-10-20 | 四川长虹电器股份有限公司 | A kind of event memorandum system for prompting and method based on geographical position |
| CN107527188A (en) * | 2017-08-29 | 2017-12-29 | 深圳天珑无线科技有限公司 | Processing method and processing device, terminal and the computer-readable medium of stroke reminding time |
| CN107734003A (en) * | 2017-09-26 | 2018-02-23 | 努比亚技术有限公司 | Shopping reminding method, terminal, server and computer-readable recording medium |
| CN107864298A (en) * | 2017-12-25 | 2018-03-30 | 维沃移动通信有限公司 | A kind of intelligent prompt method and device |
| CN108174044B (en) * | 2018-03-15 | 2020-11-03 | 维沃移动通信有限公司 | Alarm clock setting method and mobile terminal |
-
2018
- 2018-07-13 CN CN201810771967.8A patent/CN108960785B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105144144A (en) * | 2013-03-05 | 2015-12-09 | 谷歌公司 | Configurable point of interest alerts |
| CN105474671A (en) * | 2013-06-28 | 2016-04-06 | 谷歌公司 | Clustering geofence-based alerts for mobile devices |
| CN107491474A (en) * | 2017-06-26 | 2017-12-19 | 北京三快在线科技有限公司 | Information recommendation method and device |
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| Publication number | Publication date |
|---|---|
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