CN104933201A - Content recommendation method and system based on peer information - Google Patents
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Abstract
The invention provides a content recommendation method based on peer information. The method comprises the following steps that the position information and the timestamp of a user are obtained through a user mobile terminal; a plurality of users are analyzed at the same time, and the peer data of the users and other users are obtained; and based on the peer data, content recommendation is carried out. The peer data are used for representing the social contact distance between the users, then content recommendation is carried out, the synergism situation and the association probability of the users and other users are fully considered, and the recommendation results have pertinence and continuity. In addition, the invention provides a recommendation method of peer activities. Peer task requirements are added to association content, and under the situation that organization resources are not added, more users are pushed to participate in social activities in a team mode.
Description
Technical field
The present invention relates to mobile communication and field of social network, particularly relate to the method and system of commending contents.
Background technology
Along with the fast development of Internet technology and mobile communication technology, more and more people is obtained whenever and wherever possible by mobile terminal and shares the multimedia messagess such as a large amount of words, voice, picture, video.Content providers also content-basedly can carry out data mining with position, thus accurately recommends the interested content of user to user.Wherein location-based main method is exactly by arranging geographic position distance to screen or evaluating content to be recommended.Such as (refer in particular to other users to the contact person with the close hobby with user within the scope of user's recommended distance user certain radius, lower with), or to the content with geographic position label of the place that the user good friend that user pushes within the scope of distance users certain radius often goes or user's friend recommendation.But the method for this screening and recommendation of carrying out nearby content for center of circle predeterminable range for radius with user's current location has the following disadvantages:
1) situation of change of distance is not considered.When user rides public transportation means, or when automatic Pilot is popularized, simply instant space length is equal to sociodistance, a large amount of erroneous judgements will be caused.The distance of such as current time user first and user's second is 100 meters, is 30 meters with the distance of user third.By prior art analysis, then the sociodistance of user's first and user third is nearer, should preferential recommendation user third.If can user third just just ride through the user's first just in walking, such recommendation will obviously be inappropriate outside 100 meters at lower a moment.Equally, for the content with fixing geographical location tags, when user's first is quick through out-of-date by bus, the nearlyer more improper propelling movement on the contrary of distance, more should not push and be in the content that user's first has sailed out of region;
2) instant space length does not have cumulative effect.Recommend each time to be all evaluate based on the distance of current time simply, often every time a few minutes, the result of recommendation will be completely contradicted.Such recommendation results does not obviously have confidence level and continuity.
In addition, for the recommendation of share-car, the group activity contents such as tourism of going with, prior art is mostly is rely on user to submit to the conditional informations such as destination, departure time, route to carry out brining together coupling, does not consider the potential relation between user and implicit demand.Such as user's first, second, the third three people travel to city A, wish and other people dolmus, the existing way of recommendation only when user's first, second, the third submission time of chartering etc. hire a car demand, can be brought together the demand of hiring a car of three users, the service of cars on hire near recommendation usually.Can at this time, user also for the consideration of safety with interest of playing, can wish the user preferably same area of together hiring a car usually, even once on and off dutyly sits same car, or participates in some large-scale activities together.Obviously, these are all that prior art cannot provide, or needing each user to fill in, more detailed contents could realize.
Summary of the invention
For above-mentioned deficiency, the invention provides a kind of content recommendation method based on peer message and system, evaluated the degree of association/sociodistance of user and other users by colleague's data, make recommendation results have more specific aim and continuity.In addition the present invention also provides a kind of recommend method of activity of going together, and is content additional colleague mission requirements, is not increasing in organizational resources situation, promoting user and participate in doings in team's mode more.
For achieving the above object, technical scheme of the present invention is:
A kind of content recommendation method based on peer message comprises the following steps:
Positional information and the timestamp of user is obtained by customer mobile terminal;
Carry out colleague to multiple user to analyze, obtain the data of going together of user and other users;
Commending contents is carried out based on colleague's data.
Described content includes but not limited to: user profile, Word message, picture, voice, music, video, application program, virtual objects etc.
The method of described acquisition customer position information includes but not limited to following localization method:
By global position system, obtain the positional information of mobile terminal;
By location-based service (Location Based Services is called for short LBS), obtain the positional information of mobile terminal.
Described colleague's packet, containing colleague's distance and/or same line time, also can comprise colleague's number of times further.
What described colleague analyzed includes but not limited to following methods:
1) according to position coordinates point and the timestamp of user, user trajectory is generated.Track similarity analysis is carried out to multiple user trajectory, obtains similarity and reach colleague's colleague's track of match-on criterion and the same pedestrian of correspondence.Calculate between two user with the same row distance (length of track of namely going together) of pedestrian and same line time;
2) according to the positional information in user's multiple continuous moment, the neighboring user in each moment is obtained.Using the common common factor of each moment neighboring user as the same pedestrian of user.Calculate user and the same line time of Distance geometry of going together with pedestrian between two;
3) according to the positional information in user's multiple scattered moment, the neighboring user in each moment is obtained, the adjacent number of times of recording user and contact person; When the adjacent number of times in Preset Time window is more than or equal to adjacent frequency threshold value, judge to contact the people that artificially goes together, recording user and the number of times of going together with pedestrian.
Described colleague's match-on criterion is: the space similarity of track is greater than default space similarity threshold value; The time similarity of track is greater than default time similarity threshold; Default colleague's distance threshold is greater than with row distance.
The acquisition pattern of described neighboring user is: the distance calculating All Contacts in a certain moment time window within the scope of user region and user, gets the artificial neighboring user of contact that distance value is less than or equal to default neighbor distance threshold value.
Describedly carry out commending contents comprise one or more methods following based on colleague's data:
The same pedestrian's inventory meeting colleague's proposed standard is recommended to user;
To user recommend meet colleague proposed standard same pedestrian share or interested content;
At least as a calculating basis, content is evaluated using data of going together, and evaluation score value is more than or equal to the commending contents of Evaluation threshold to user;
When recommending colleague's activity description to user, the additional participation situation meeting the same pedestrian of colleague's proposed standard simultaneously, and upgrade at any time.
Described colleague's proposed standard is one or more standards following:
User and the accumulative of contact person are greater than default recommended distance threshold value of going together with row distance;
User and the accumulative of contact person are greater than default recommendation time threshold of going together with line time;
The accumulative number of times of going together of user and contact person is greater than default recommendation frequency threshold value of going together.
Described colleague's recommended distance threshold value, colleague recommend time threshold, go together and recommend frequency threshold value can unify to arrange, and also can be arranged voluntarily by user.
Described colleague's activity description refers to and must be participated in by two or more users, and each other with the activity description of pedestrian, the content of following theme must be included but not limited in participation process: party, appointment, many people motion, tourism of going with, spell meal, share-car, scene purchase by group, closely game on-line.
Described method can comprise further:
Press the descending priority of colleague's data to user's content recommendation;
Additional colleague's data label, shows colleague's data when displaying contents simultaneously in the content;
Statistic of classification colleague data, and carry out commending contents based on colleague's data of disaggregated classification;
A certain contact person, by the blacklist function of mobile terminal software, is classified as blacklist by user, thus shielding and going together of this contact person are analyzed.
In order to the method that initiation and the result of perfect colleague's activity description judge, the present invention also provides:
To go together the recommend method of activity, comprise the following steps:
Based on content additional colleague mission requirements, form colleague's activity description;
Colleague's activity description is issued;
User accepts colleague's activity and invites;
Supervisory user colleague data, carry out colleague's action result and judge.
Described colleague's mission requirements comprises following one or more requirement:
The minimum same row distance of user and contact person;
The minimum same line time of user and contact person;
Start the position range that colleague analyzes;
Start the time range that colleague analyzes;
The node coordinate of colleague's route;
Colleague's number scope.
Described colleague's mission requirements can be carried out unifying to arrange according to Activity Type by system, also can be arranged voluntarily by user.
In described colleague's activity description issuing steps, colleague's activity description is formally issued when coming into force, system by automatically generating the movable identification number with uniqueness, as colleague's label of this activity.
Described user accepts colleague's activity and invites in step, and when user confirms accepting activity task, system is both for user chooses corresponding colleague's label (i.e. movable identification number).
Described system monitoring user goes together data, carries out in result determination step, and system is according to colleague's mission requirements, and to colleague's data analysis of multiple user, judge whether to reach colleague's mission requirements, if reached, record is reached in preservation activity.
Described method can comprise further: basic content in advance can be underground or only partly open, and only have activity to reach, participating user could unlock or download basic content;
For colleague's mission requirements setting grade and score value, colleague's mission requirements of different brackets is different, strengthens the difficulty of mission requirements by grade from low to high step by step; Record is reached in the activity of preserving each time, forms user's recording of growing up; Can add up to colleague's task mark of user, and press gross score and Activity Type, various grade appellation and right are provided.
Based on a content recommendation system for peer message, comprise mobile terminal and server, mobile terminal carries out message exchange by mobile communication network and server.
Wherein mobile terminal comprises:
Locating module, for by global position system, obtains the satellite positioning information of mobile terminal;
Communication module, carries out communication by the mobile communication such as GPRS, CDMA, 3G, 4G, 5G, WIFI, bluetooth or wireless communication technique and server;
User interactive module, carries out information interaction by user interface displaying contents and with user;
Wherein server comprises:
Location-based service module, for obtaining the positional information of mobile terminal;
Colleague's analysis module, analyzes for carrying out colleague to multiple user, obtains the data of going together of user and other users;
Commending contents module, screens content based on colleague's data, sort, evaluates, mates, encapsulates, and collects user to the feedback information of content simultaneously, forms closed loop running;
Information processing module of user's, for the treatment of the operation information such as inquiry, configuration that user submits to, and according to user configuration information, pushes content to mobile terminal or receives field feedback.
Described mobile terminal can further include electric map module, for showing positional information or the motion track of same pedestrian.
Described system also comprises electric map module further, for providing electronic map data, and in conjunction with multiple positional informations of user, determines the course of user.
Described mobile terminal includes but not limited to: mobile phone, wearable device, car-mounted terminal, notebook computer, panel computer, PDA(Personal Digital Assistant, personal digital assistant) etc. mobile device.
By foregoing invention content, the present invention comes the sociodistance between characterizing consumer with data of going together, and then carry out the recommendation of content, substantially envisage the collaborative situation of user and other users and associate probability, comparing prior art and there is higher specific aim and using value.The present invention simultaneously also proposes a kind of colleague's activity recommendation method first, guides people's cooperation to help each other, forms the new concept of going in company with sb., being well acquainted with each other on the way.
Accompanying drawing explanation
Fig. 1 is a kind of content recommendation method process flow diagram based on peer message of the embodiment of the present invention one.
Fig. 2 is the method flow diagram of a kind of activity recommendation of going together of the embodiment of the present invention two.
Fig. 3 is a kind of content recommendation system structured flowchart based on peer message of the embodiment of the present invention three.
Embodiment
For the ease of the understanding of those skilled in the art, below in conjunction with accompanying drawing, the invention will be further described, and described embodiment is only section Example of the present invention, can not be used for limiting the scope of the invention.When not conflicting, the feature in the embodiment of the application and embodiment can combine mutually.
Fig. 1 is a kind of content recommendation method process flow diagram based on peer message of the embodiment of the present invention one, comprises the following steps:
Step S101, obtains positional information and the timestamp of user by customer mobile terminal;
The method of described acquisition customer position information includes but not limited to following localization method:
By global position system, obtain the positional information of mobile terminal;
By location-based service (Location Based Services is called for short LBS), obtain the positional information of mobile terminal.
Step S102, carries out colleague to multiple user and analyzes, obtain the data of going together of user and other users;
Described colleague's packet is containing colleague's distance and/or same line time.Wherein refer to row distance the distance that user and other users together advance, usually obtained by two people's motion track COMPREHENSIVE CALCULATING.Refer to that user and other users are at the duration of together advancing or stop with line time, can be obtained by the duration COMPREHENSIVE CALCULATING of the duration of two people's motion tracks or two people neighboring user each other.
Described colleague's data can also comprise colleague's number of times further.
What described colleague analyzed includes but not limited to following methods:
1) according to position coordinates point and the timestamp of user, user trajectory is generated.Track similarity analysis is carried out to multiple user trajectory, obtains similarity and reach colleague's colleague's track of match-on criterion and the same pedestrian of correspondence.Calculate between two user with the same row distance (length of track of namely going together) of pedestrian and same line time;
2) according to the positional information in user's multiple continuous moment, the neighboring user in each moment is obtained.Using the common common factor of each moment neighboring user as the same pedestrian of user.Calculate user and the same line time of Distance geometry of going together with pedestrian between two;
3) according to the positional information in user's multiple scattered moment, the neighboring user in each moment is obtained, the adjacent number of times of recording user and contact person; When the adjacent number of times in Preset Time window is more than or equal to adjacent frequency threshold value, judge to contact the people that artificially goes together, recording user and the number of times of going together with pedestrian.
Described colleague's match-on criterion is: the space similarity of track is greater than default space similarity threshold value; The time similarity of track is greater than default time similarity threshold; Default colleague's distance threshold is greater than with row distance.
Described multiple continuous moment refers to that the interval of timestamps of positional information is not more than Offtime, and namely system judges that mobile terminal is always online; Otherwise, then the scattered moment is considered as.
The acquisition pattern of described neighboring user is: the distance calculating All Contacts in a certain moment time window within the scope of user region and user, gets the artificial neighboring user of contact that distance value is less than or equal to default neighbor distance threshold value;
Described user trajectory is made up of more than 2 and 2 geographical position coordinates points and timestamp thereof, and the track sets formed that sorts in chronological order.
Described colleague's distance threshold, space similarity threshold value and time similarity threshold can be unified to arrange, and also can arrange respectively according to the difference of the geographic area of user trajectory, time period and translational speed.Such as when user's first, second is walking, because translational speed is slow, with average walking speed 1 meter per second estimation, the position deviation that 10 seconds can cause also is less than 10 meters, and time similarity threshold can be lowered.And when user's first, second is driving, with the estimation of average speed 10 meter per second, the position deviation that 10 seconds can cause 100 meters, in urban district, this deviation may be an other circuit.Therefore when translational speed is fast, during route comparatively dense, time similarity threshold must be established height.
Colleague's distance threshold is to reject the too short puppet colleague of same row distance.Same, if user's first, second is walking, then going together distance threshold should be shorter, and if user's first, second is driven or takes motor-car, then need to arrange longer colleague's distance threshold.Especially, when user's first, second airplane, if mobile terminal is located by WIFI, then multiple users of access consolidated network mark WIFI directly can be judged as same pedestrian according to location-based service, Distance geometry of now going together obtains by transferring real-time airline flight information with line time.It should be noted that, adopting same row distance to be the meaning in order to more outstanding same pedestrian as one of colleague's match-on criterion, is preferential scheme.Substituting with same line time is the mode easily expected, also belongs to the scope of protection of the invention.
Described track space-time similarity analysis belongs to a kind of trajectory analysis techniques, and its measure cannot enumerate and include at this, and the difference of its algorithm can not be used for evading protection content of the present invention.
In cited colleague's analytical approach 3, Preset Time window is the retention time of systematic conservation user record adjacent with other users, because the adjacent record data volume of user and other users is huge, in order to reduce the load of system, Preset Time window is preferentially less than or equal to 24 hours, adjacent frequency threshold value be more than or equal to 2 natural number.Such as user's first, second neighboring user 4 times each other in schedule time window 24 hours, be greater than default adjacent frequency threshold value 3, then system judges that two people are as same pedestrian, and meter colleague number of times once.Apparently, when system capability is enough to support that long-term neighbor information record mates with retrieval, can cancel time window restriction, now adjacent number of times is equal to colleague's number of times.
It should be noted that, the relevance being evaluated user by the mode of identical sign-in desk (Check in) is had in prior art, such as user's first, second all often goes to same cinema, gymnasium, then can judge that two people exist certain association, and then carry out commending contents.In contrast, cited colleague's analytical approach 3 does not limit specific place, more importantly, colleague's analytical approach 3 requires that time dimension also must be identical, namely two people must be the neighbouring relations of same time in same place, to guarantee the social probability (popular saying is exactly the probability of knowing each other of meeting) of two people, but not be only the identical of point of interest.For example, assuming that user's first is always just gone to the cinema weekend, and user's second is always gone to the cinema evening on working day, then two people are obviously difficult to occur simultaneously in life, recommends film information to two people, be also difficult to impel two people to see a film together with this.
Step S103, carries out commending contents based on colleague's data;
Describedly carry out commending contents comprise one or more methods following based on colleague's data:
The same pedestrian's inventory meeting colleague's proposed standard is recommended to user;
To user recommend meet colleague proposed standard same pedestrian share or interested content;
At least as a calculating basis, content is evaluated using data of going together, and evaluation score value is more than or equal to the commending contents of Evaluation threshold to user;
When recommending colleague's activity description to user, the additional participation situation meeting the same pedestrian of colleague's proposed standard simultaneously, and upgrade at any time;
Described content includes but not limited to: user profile, Word message, picture, voice, music, video, application program, virtual objects etc.
Described colleague's proposed standard comprises one or more standards following:
User and the accumulative of contact person are greater than default recommended distance threshold value of going together with row distance;
User and the accumulative of contact person are greater than default recommendation time threshold of going together with line time;
The accumulative number of times of going together of user and contact person is greater than default recommendation frequency threshold value of going together.
Described colleague's recommended distance threshold value, colleague recommend time threshold, go together and recommend frequency threshold value can unify to arrange, and also can be arranged voluntarily by user.
Described colleague's activity description refers to and must be participated in by two or more users, and each other with the activity description of pedestrian, the content of following theme must be included but not limited in participation process: party, appointment, many people motion, tourism of going with, spell meal, share-car, scene purchase by group, closely game on-line.
The accumulative of such as user's first, second is 6.3 kms with row distance, is greater than default colleague's recommended distance threshold value---5 kms.First system can recommend an other side the user profile of a side; Next, system can also be shared a side or interested content also recommends an other side; System using same row distance 6.3 km of two people as a factor, can also calculate the evaluation score value of content to be recommended according to set computation model.When evaluating score value and being greater than default Evaluation threshold, then give user commending contents.
In supposition scene: city A holds ten thousand people's marathon activities, user's first is interested in outdoor exercises, system is when to user's first recommendation activities content, also upgrade other users reaching proposed standard of going together in urban area with user's first at any time and participate in this active situation: Yong Huyi, with row distance 20.3km, participate in; User the third, and colleague's number of times 52 times, participates in; User's fourth, with line time 69 minutes, participates in.Can predict, along with the personnel meeting colleague's proposed standard constantly add activity, the power of user's first participation activity can be increasing, finally also greatly may participate in this activity.And between active stage, Yong Hujia, second, third, fourth also will link together very naturally, starts mutual social process.
The described content recommendation method based on peer message can comprise further:
Press the descending priority of colleague's data to user's content recommendation;
Additional colleague's data label, shows colleague's data when displaying contents simultaneously in the content;
Such as, recommend to user's first to reach colleague's proposed standard user's second, third, Ding Shi, first by with the descending arrangement of row distance, and display colleague range data: the third, with row distance 35.6km; Second, with row distance 27.8km; Fourth, with row distance 6.1km.
Statistic of classification colleague data, and carry out commending contents based on colleague's data of disaggregated classification;
Such as can temporally interval (as this month, this week, daytime, night, working day, festivals or holidays), or move mode (as walking, driving/by bus), or the type of geographic area (as urban district, inside the province, outside the province) carries out statistic of classification.Especially, in order to allow the more identical current customer relationship of colleague's data, only commending contents can be carried out based on colleague's data of the current year or this month.
A certain contact person, by the blacklist function of mobile terminal software, is classified as blacklist by user, thus shielding and going together of this contact person are analyzed.
Described colleague's data can directly show in the mode of numerical value, also can be divided into different interval in advance, by indirect mode displays such as grade, star, appellations, the grade of colleague's data can also be associated with the picture of user's head portrait or particular series, be characterized by the mode showing different picture.
Colleague's packet " the same to row distance ", " same to line time ", " colleague's number of times " that contain is that summary of the invention says the noun set for convenience of description, adopts other nouns to characterize same or similar meaning, still belongs to the scope of technical solution of the present invention.
Fig. 2 is the one colleague activity recommendation method flow diagram of the invention process two, comprises the following steps:
Step S201, based on content additional colleague mission requirements, form colleague's activity description;
Described colleague's mission requirements comprises following one or more requirement:
The minimum same row distance of user and contact person;
The minimum same line time of user and contact person;
Start the position range that colleague analyzes;
Start the time range that colleague analyzes;
The node coordinate of colleague's route;
Colleague's number scope.
Described additional mode can be two parts content is merged be packaged into a content, also by closing chain store/call number, two parts can be set up connection, such as, be associated by two content records by major key in a database.
Described colleague's mission requirements can be carried out unifying to arrange according to Activity Type by system, also can be arranged voluntarily by user;
The minimum same line time of minimum Distance geometry of going together of described user and contact person refers to that user completes the bee-line and shortest time that these task needs and other users go together respectively.
When the position range that the described colleague of startup analyzes is for entering this position range as user, system automatically starts colleague and analyzes, and when user is when this position range is outer, system is not done or stopped colleague's analysis.In like manner, the time range starting colleague's analysis carries out in order to given the beginning and ending time analyzed of going together.Such as some activities held to July 3 at sight spot A July 1, and the user that so system only can enter scenic spot to this time durations carries out colleague and analyzes, and obtains colleague's data;
The node coordinate of described colleague's route, represents that user has to pass through or arrives near node coordinate and has just been considered as this mission requirements;
Described colleague's number range systems is defaulted as and is more than or equal to 2, and namely user at least needs to go together with other users, reaches default minimum same row distance or minimum same line time.
Step S202, colleague's activity description is issued;
In this step, colleague's activity description is formally issued when coming into force, system by automatically generating the movable identification number with uniqueness, as colleague's label of this activity.
The mode that content is issued includes but not limited to: the packing of complete colleague's activity description is pushed to user terminal, supports that user's off-line is read, forwards; Only issue brief introduction and the link of colleague's activity description, detailed content needs user's online browse or line to download.
Step S203, user accepts colleague's activity and invites;
In this step, when user confirms accepting activity task, system both chose corresponding colleague's label (i.e. movable identification number) for user, and generated record in a database.It is movable that user can accept multiple colleague simultaneously, now generates many User Activity records in database.
Step S204, supervisory user colleague data, carry out colleague's action result and judge;
In this step, system, first by User Activity record sheet in database, obtains the current effective colleague's label (i.e. movable identification number) of user.Colleague's mission requirements corresponding according to colleague's tag reader subsequently, carries out colleague to the multiple users choosing same colleague's label and analyzes.Real-time monitoring colleague data, the requirement of reaching in colleague's mission requirements as user has been considered as activity, and record is reached in preservation activity.
Further, in this step, system can also automatically for choosing same colleague's label and adjacent multiple users set up one with pedestrian's chat channel, convenient with mutually exchanging between pedestrian and checking other people information.
Described one colleague activity recommendation method, also can comprise further:
Basic content in advance can be underground or only partly open, and only have activity to reach, participating user could unlock or download basic content;
For colleague's mission requirements setting grade and score value, colleague's mission requirements of different brackets is different, strengthens the difficulty of mission requirements by grade from low to high step by step; Record is reached in the activity of preserving each time, forms user's recording of growing up.Can add up to colleague's task mark of user, and press gross score and Activity Type, various grade appellation and right are provided.
Suppose an application scenarios below: certain scenic spot, certain hotel and certain bicycle businessman combine and formulate and issue an activity of going together, its basic content is entrance ticket Quick Response Code, single Quick Response Code exempted from by suite, in bicycle lottery ticket Quick Response Code one, random acquisition specifically could reward content after user has needed colleague's task.Additional colleague's mission requirements: time range be August 1 to August 30, position range is the highway from urban district to scenic spot, and be provided with 5 colleague's route node coordinates, start-stop node is respectively urban district People's Square and scenic spot ticket counter, colleague's number scope 5 ~ 20 people.Content issuer first in urban district all fans of riding recommend this activity description, when user's first checks and accepts this information, also see meet colleague's proposed standard user's second, third, fourth three people received inviting of this activity, he invites so also take in good part, and agreement set on August 3 mutually.To August 3, after four people arrive People's Square successively, Yong Hujia, second, third, fourth adds same pedestrian's chat channel automatically, sees that existing 55 people are in channel.After some is linked up, Yong Hujia, second, fourth and other 15 users form one group, in advance from People's Square, go to scenic spot.After first-class 18 people of user arrive scenic spot, mobile phone have received all respectively the notice completing colleague's activity that system is sent, open basic content bag, what everybody found wherein 15 people's acquisitions is entrance ticket Quick Response Code, what 2 people obtained is the Quick Response Code freely entering to stay for the night between senior mark, and what 1 people obtained is the Quick Response Code that executive suite freely enters to stay for the night.Although no one obtains bicycle lottery ticket, everybody is very delight take part in current colleague activity.Can see, relative to active organization's form of current routine, colleague's activity only needs content publisher complete content formulation and issue, remainingly can automatically to be completed by location-based service by system, omnidistance without the need to extra establishment officer and resource input, and for participant, be also completely freely participate in and exit, there is no mechanical plan and institutional framework, only have naturally showing of colony.
Fig. 3 is a kind of content recommendation system structured flowchart based on peer message of the embodiment of the present invention three.Comprise:
Mobile terminal 31 and server 32, mobile terminal 31 carries out information interaction by mobile communication network and server 32;
Wherein mobile terminal 31 comprises:
Locating module 311, for by global position system, obtains the satellite positioning information of mobile terminal;
Communication module 312, carries out communication by the mobile communication such as GPRS, CDMA, 3G, 4G, 5G, WIFI, bluetooth or wireless communication technique and server;
User interactive module 313, carries out information interaction by user interface displaying contents and with user;
Wherein server 32 comprises:
Location-based service module 321, for obtaining the positional information of mobile terminal;
Colleague's analysis module 322, analyzes for carrying out colleague to multiple user, obtains the data of going together of user and other users;
Commending contents module 323, screens content based on colleague's data, sort, evaluates, mates, encapsulates, and collects user to the feedback information of content simultaneously, forms closed loop running;
Information processing module of user's 324, for the treatment of the operation information such as inquiry, configuration that user submits to, and according to user configuration information, pushes content to mobile terminal or receives field feedback.
Described mobile terminal can further include electric map module, for showing positional information or the motion track of same pedestrian.
Described system also comprises further: electric map module, for providing electronic map data, and in conjunction with multiple positional informations of user, determines the course of user.
Described mobile terminal includes but not limited to: mobile phone, wearable device, car-mounted terminal, notebook computer, panel computer, PDA(Personal Digital Assistant, personal digital assistant) etc. mobile device.
When user opens mobile terminal software unlatching colleague's function, mobile terminal 31 obtains the satellite positioning information of user by continuing through locating module 311, then by communication module 312, submit to server 32 through mobile communication network.Satellite positioning information is converted into positional information by location-based service module 321 by server 32.Colleague's analysis module 322 constantly cyclically carries out colleague's analyzing and processing to the positional information of a large number of users, obtains the colleague's data between user.Commending contents module 323 is based on the colleague's data between user subsequently, treats content and carries out necessary screening, sequence, evaluation, coupling and encapsulation.Finally by information processing module of user's 324, content is pushed on the mobile terminal 31 of user.When user receives content recommendation and responds, its response message also can pass through communication module 312, server 32 is submitted to through mobile communication network, processed by information processing module of user's 324, wherein relevant to content feedback information will submit to commending contents module 323, carry out the closed loop running comprising content update.
Above process prescription is just set forth simplifiedly to the information transmission of each intermodule, and during practical application, the information transmission of each intermodule is more complicated frequent, does not repeat them here.
The above is only the section Example in order to illustrate cited by content of the present invention, not does any pro forma restriction to the present invention.Those skilled in the art are not departing within the scope of technical solution of the present invention, make a little change or be modified to the Equivalent embodiments of equivalent variations when utilizing the technology contents of above-mentioned announcement.Allly do not depart from technical solution of the present invention content, any simple modification done above embodiment according to technical spirit of the present invention, equivalent variations and modification, all still belong in the scope of technical solution of the present invention.
Claims (10)
1. based on a content recommendation method for peer message, it is characterized in that, comprise the following steps:
Positional information and the timestamp of user is obtained by customer mobile terminal;
Carry out colleague to multiple user to analyze, obtain the data of going together of user and other users;
Commending contents is carried out based on colleague's data.
2. a kind of content recommendation method based on peer message as claimed in claim 1, is characterized in that,
The method obtaining customer position information includes but not limited to following localization method:
By global position system, obtain the positional information of mobile terminal;
By location-based service, obtain the positional information of mobile terminal;
Described colleague's packet, containing colleague's distance and/or same line time, also comprises colleague's number of times further;
What described colleague analyzed includes but not limited to following methods:
According to position coordinates point and the timestamp of user, generate user trajectory; Track similarity analysis is carried out to multiple user trajectory, obtains similarity and reach colleague's colleague's track of match-on criterion and the same pedestrian of correspondence; Calculate user and the same line time of Distance geometry of going together with pedestrian between two;
According to the positional information in user's multiple continuous moment, obtain the neighboring user in each moment; Using the common common factor of each moment neighboring user as the same pedestrian of user; Calculate user and the same line time of Distance geometry of going together with pedestrian between two;
According to the positional information in user's multiple scattered moment, obtain the neighboring user in each moment, the adjacent number of times of recording user and contact person; When the adjacent number of times in Preset Time window is more than or equal to adjacent frequency threshold value, judge to contact the people that artificially goes together, recording user and the number of times of going together with pedestrian;
Described colleague's match-on criterion is: the space similarity of track is greater than default space similarity threshold value; The time similarity of track is greater than default time similarity threshold; Default colleague's distance threshold is greater than with row distance;
The acquisition pattern of described neighboring user is: the distance calculating All Contacts in a certain moment time window within the scope of user region and user, gets the artificial neighboring user of contact that distance value is less than or equal to default neighbor distance threshold value.
3. a kind of content recommendation method based on peer message as claimed in claim 1, is characterized in that,
Describedly carry out commending contents comprise one or more methods following based on colleague's data:
The same pedestrian's inventory meeting colleague's proposed standard is recommended to user;
To user recommend meet colleague proposed standard same pedestrian share or interested content;
At least as a calculating basis, content is evaluated using data of going together, and evaluation score value is more than or equal to the commending contents of Evaluation threshold to user;
When recommending colleague's activity description to user, the additional participation situation meeting the same pedestrian of colleague's proposed standard simultaneously.
4. a kind of content recommendation method based on peer message as claimed in claim 3, is characterized in that,
Described colleague's proposed standard comprises one or more standards following:
User and the accumulative of contact person are greater than default recommended distance threshold value of going together with row distance;
User and the accumulative of contact person are greater than default recommendation time threshold of going together with line time;
The accumulative number of times of going together of user and contact person is greater than default recommendation frequency threshold value of going together;
Described colleague's recommended distance threshold value, colleague recommend time threshold, go together and recommend frequency threshold value can unify to arrange, and also can be arranged voluntarily by user;
Described colleague's activity description refers to and must be participated in by two or more users, and each other with the activity description of pedestrian, the content of following theme must be included but not limited in participation process: party, appointment, many people motion, tourism of going with, spell meal, share-car, scene purchase by group, closely game on-line.
5. as claim 1, a kind of content recommendation method based on peer message described in 3, it is characterized in that, the method comprises further:
Press the descending priority of colleague's data to user's content recommendation;
Additional colleague's data label, shows colleague's data when displaying contents simultaneously in the content;
Statistic of classification colleague data, and carry out commending contents based on colleague's data of disaggregated classification;
A certain contact person, by the blacklist function of mobile terminal software, is classified as blacklist by user, thus shielding and going together of this contact person are analyzed.
6. a kind of content recommendation method based on peer message as claimed in claim 5, is characterized in that,
Described colleague's data can directly show in the mode of numerical value, also can be divided into different interval in advance, by indirect mode displays such as grade, star, appellations, colleague's grade of data can also be associated with the picture of particular series, be characterized by the mode showing different picture.
7. to go together the recommend method of activity, it is characterized in that, comprise the following steps:
Based on content additional colleague mission requirements, form colleague's activity description;
Colleague's activity description is issued;
User accepts colleague's activity and invites;
Supervisory user colleague data, carry out colleague's action result and judge.
8. the recommend method of a kind of activity of going together as claimed in claim 7, is characterized in that,
Described colleague's mission requirements comprises following one or more requirement:
The minimum same row distance of user and contact person;
The minimum same line time of user and contact person;
Start the position range that colleague analyzes;
Start the time range that colleague analyzes;
The node coordinate of colleague's route;
Colleague's number scope;
Described colleague's mission requirements can be carried out unifying to arrange according to namely fixed Activity Type by system, also can be arranged voluntarily by user;
In described colleague's activity description issuing steps, colleague's activity description is formally issued when coming into force, system by automatically generating the movable identification number with uniqueness, as colleague's label of this activity;
Described user accepts colleague's activity and invites in step, and when user confirms accepting activity task, system is both for user chooses corresponding colleague's label;
Described system monitoring user goes together data, carries out in result determination step, and system is according to colleague's mission requirements, and to colleague's data analysis of multiple user, judge whether to reach colleague's mission requirements, if reached, record is reached in preservation activity.
9. the recommend method of a kind of activity of going together as claimed in claim 7, it is characterized in that, the method comprises further:
Described basic content in advance can be underground or only partly open, and only have activity to reach, participating user could unlock or download basic content;
For colleague's mission requirements setting grade and score value, colleague's mission requirements of different brackets is different, strengthens the difficulty of mission requirements by grade from low to high step by step; Colleague's task mark of user is added up, and presses gross score and Activity Type, various grade appellation and right are provided; Record is reached in the activity of preserving each time, forms user's recording of growing up.
10., based on a content recommendation system for peer message, it is characterized in that,
Comprise mobile terminal and server, mobile terminal carries out information interaction by mobile communication network and server;
Wherein mobile terminal comprises:
Locating module, for by global position system, obtains the satellite positioning information of mobile terminal;
Communication module, carries out communication by the mobile communication such as GPRS, CDMA, 3G, 4G, 5G, WIFI, bluetooth or wireless communication technique and server;
User interactive module, carries out information interaction by user interface displaying contents and with user;
Wherein server comprises:
Location-based service module, for obtaining the positional information of mobile terminal;
Colleague's analysis module, analyzes for carrying out colleague to multiple user, obtains the data of going together of user and other users;
Commending contents module, screens content based on colleague's data, sort, evaluates, mates, encapsulates, and collects user to the feedback information of content simultaneously, forms closed loop running;
Information processing module of user's, for the treatment of the operation information such as inquiry, configuration that user submits to, and according to user configuration information, pushes content to mobile terminal or receives field feedback.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510414779.6A CN104933201A (en) | 2015-07-15 | 2015-07-15 | Content recommendation method and system based on peer information |
| CN201680002054.9A CN107615733A (en) | 2015-04-14 | 2016-03-26 | Realization is shared with pedestrian's instant messaging, peer message and the method and system of commending contents |
| PCT/CN2016/077456 WO2016165547A1 (en) | 2015-04-14 | 2016-03-26 | Method and system for realizing instant messaging among persons traveling together, travel together information sharing and content recommendation |
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| CN201510414779.6A CN104933201A (en) | 2015-07-15 | 2015-07-15 | Content recommendation method and system based on peer information |
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