CN104965915A - User access behavior data processing method and system - Google Patents
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Abstract
The invention discloses a user access behavior data processing method and system for obtaining user access behavior data according to the access video content of a user within a period of time and analyzing the user access behavior data to achieve the purpose of carrying out friendly degree ranking and access prompting on the user and an accessed region. The method comprises the steps of: step A: acquiring the video content including the user access behavior data, and obtaining a plurality of access parameters of the user access behavior data according to the video content; step B: according to the obtained access parameters, distinguishing the accessed region from a non-accessed region, and endowing the accessed region with a color mark on a preset map template; step C: according to the access parameters of the accessed region in the user access behavior data, regulating the color of the accessed region in the map template; and step D: according to the color degree of the accessed region, analyzing the user access behavior data, and outputting access suggestion prompt information according to an analysis result.
Description
Technical field
The present invention relates to multimedia data processing field, particularly a kind of disposal route of user access activity data and system.
Background technology
Video (Video) makes a general reference the various technology that a series of static image is caught in the mode of electric signal, note down, processes, stores, transmits and reappeared.Continuous print image change per second more than more than 24 frames (frame) picture time, according to persistence of vision principle, human eye cannot distinguish the tableaux of single width; Look it is level and smooth continuous print visual effect, such continuous print picture is called video.
Video technique is develop in order to television system the earliest, but has developed into various different form now and got off by videograph in order to consumer.The prosperity of network technology also impels the record fragment of video to be present in the form of streaming media also can by computer reception and broadcasting on the Internet.Video and film belong to different technology, and the latter utilizes photography to be a series of still photo by dynamic image capturing.
Along with the development of multimedia and electronic equipment, people more and more get used to oneself footprint under videograph, especially in travelling, access process.Modal be exactly country and the leaders personnel of government when Outside Access, entourage can adopt the equipment such as video camera to record each moment in work.By the video content that video camera is shot with video-corder, we can see the various data of leader in access process clearly.
And in the prior art, because we to access the relevant information of footprint to user by means of only videograph content obtaining, and cannot access to user that footprint carries out in detail, treatment and analysis accurately, therefore, lack in prior art a kind of efficiently, fast based on the analysis of user access activity data and the method for process of video content.
Summary of the invention
The invention provides a kind of disposal route and system of user access activity data, in order to according to the accessing video content of user within a period of time, obtain user access activity data and carry out analyzing and processing, realizing carrying out friendliness rank to user and visited site and accessing the object pointed out.
The invention provides a kind of disposal route of user access activity data, comprising:
Steps A: gather the video content comprising user access activity data, obtain multiple access parameters of described user access activity data according to described video content;
Step B: according to the access parameter obtained, distinguish visited site and non-visited site, and color mark is given to described visited site on the map template preset;
Step C: according to the access parameter of visited site in described user access activity data, adjust the color of visited site in described map template;
Step D: according to the shade of described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
Some beneficial effects of the embodiment of the present invention can comprise:
This embodiment proposes a kind of color mark that carries out on map and represents the access behavior data message of user to different regions, go up different regions according to the map and marks the difference of color, the method that the data message of accessing different regions to user is analyzed.First, the method needs the access behavioral data being obtained user by the accessing video of user, according to the access parameter in this access behavioral data, can distinguish visited site and non-visited site.Then by these visited site information labeling preset map template on, according to obtain access parameter, can on map template the shade of visited site adjust, as access times in access parameter number, access frequency height etc.Finally, according to the shade of visited site on adjusted map, can to the access behavior data analysis of user, its access times as darker in color may more, access frequency may be more high, can also advise according to analysis result output access, as exported access information to long-term non-visited site, access information etc. to infrequently visited site.The method of this embodiment is analyze the access behavioral data of user to different regions to provide solution, can reflect that user is to different areas access behavior data difference clear, intuitively, and can to accessing behavior data analysis and output access suggestion.
In one embodiment, described access parameter comprises following any one or more:
Visited site information, access time information, access times information and access frequency information.
It will be understood by those skilled in the art that and everyly can reflect the access parameter of user to the access behavior data difference of different regions, all should be included in the scope of protection of present invention, and do not limit by the above-mentioned parameter enumerated.
In one embodiment, also comprise:
Step e: in advance access implied condition is arranged to each area on described map template, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Step F: determine the access prompting threshold value simultaneously meeting described access time threshold value, access times threshold value and visit frequency threshold value, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Step G: according to the shade of described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
Step H: if reach described weight threshold value, then the user access activity data of this area are not processed;
Step I: if do not reach described weight threshold value, then export the access prompting needing to conduct interviews to this area.
The method that this embodiment provides is mainly for the situation how judging to need output access to point out, first need to arrange different access implied conditions for different areas, as can according to the friendliness between user with different regions, exchange degree etc., the access implied condition of different regions is set respectively, and access implied condition should comprise aforesaid access time, access times, access frequency etc.Then determine the access prompting threshold value comprising above-mentioned each Parameter Conditions, and determine colour darkness threshold value corresponding on map.Finally colour darkness threshold value corresponding with this area respectively for the colour darkness of each department on map is compared, if reach colour darkness threshold value, then illustrate and the access of this area has been reached and friendliness between it, the requirement exchanging degree; If do not arrive colour darkness threshold value, then illustrate and the access of this area is not met and the friendliness between it, the demand exchanging degree etc., need to export the access information to this area.The method of this embodiment can go up the shade of each department quickly and accurately according to the map, judge to point out the need of to somewhere output access, avoid user to need to do mass data statistical work and can realize this function, save the working time, improve work efficiency.
In one embodiment, described step C comprises:
The access time information of visited site, access times information and access frequency information described in acquisition;
Calculate the mistiming of the last access time and real-time time, calculate the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
According to described access times information and the number of times weighting function preset, calculate the second weights influence, and according to described second weights influence adjustment the color of visited site;
According to described access frequency information and the frequency weight function preset, calculate the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
This embodiment offers a kind of method that concrete calculating different access parameter affects visited site colour darkness, as to the access time, then calculate the mistiming of the last access time and real-time time, the first weights influence is calculated according to described mistiming and default mistiming weighting function, and according to described first weights influence adjustment the color of visited site, other access parameters adopt similar computing method.Through calculating the impact of multiple access parameter, and after the color in the corresponding area of corresponding adjustment, finally can be reflected the map of user to the access behavior of different regions.It will be understood by those skilled in the art that when access parameter also comprises other types parameter, also can adopt the computing method similar with said process.The method of this embodiment is accurately adjust the shade of each department on map to provide process foundation, and simple to operate, is easy to realize.
In one embodiment, described step D comprises:
The color of visited site described in collection, by described visited site according to respective color from deeply arranging successively to shallow;
According to the rank order of described visited site, successively rank is carried out from high to low to the friendliness of user and described visited site;
Add up the visited site of each great Qu, and gather the color of visited site and the total quantity of each great Qu;
According to the shade of visited site and total quantity in each great Qu, rank is carried out to the friendliness of user and each great Qu.
The method that this embodiment provides by the behavioral data analysis that conducts interviews to the multiple areas belonging to same great Qu, and obtains the friendliness between user from different great Qu according to analysis result.After the colour darkness collecting each department on map, according to colour darkness rank, the height of the friendliness between these areas of user namely can be reflected.The method can also be analyzed the friendliness between user from different great Qu, as great Qu A, B, C, wherein A comprises visited site 2,4, B and comprises visited site 3,5, C comprises the area that visited site 1,6,7,1-7 representative is carried out according to colour darkness sorting successively.When judging user and the friendliness between great Qu A, B, C, as the mode that colour darkness rank and regional quantity can be adopted to combine, the regional quantity of C at most (3), therefore rank is the highest, and the regional quantity of A and B is identical, but A comprises the area 2 that in A, B Liang Ge great district, rank is the highest, therefore, the rank of A, higher than B, it will be understood by those skilled in the art that great Qu friendliness arrangement method is not limited to above-mentioned method.The method of this embodiment not only achieves the friendliness rank between user and different regions, also achieves the friendliness rank between multiple great Qu that user and multiple area form respectively.
A disposal system for user access activity data, comprising:
Parameter acquisition module, for gathering the video content comprising user access activity data, obtains multiple access parameters of described user access activity data according to described video content;
Area discriminating module, for according to the access parameter obtained, distinguishes visited site and non-visited site, and gives color mark to described visited site on the map template preset;
Color adjustment module, for the access parameter according to visited site in described user access activity data, adjusts the color of visited site in described map template;
Data analysis module, for the shade according to described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
In one embodiment, described access parameter comprises following any one or more:
Visited site information, access time information, access times information and access frequency information.
In one embodiment, also comprise:
Prompting arranges module, and for arranging access implied condition to each area on described map template in advance, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Threshold determination module, for determining the access prompting threshold value meeting described access time threshold value, access times threshold value and visit frequency threshold value simultaneously, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Color judge module, for the shade according to described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
First processing module, if for reaching described weight threshold value, then do not processed the user access activity data of this area;
Second processing module, if for not reaching described weight threshold value, then exports the access prompting needing to conduct interviews to this area.
In one embodiment, described color adjustment module comprises:
Acquisition of information submodule, for the access time information of visited site, access times information and access frequency information described in obtaining;
First adjustment submodule, for the mistiming of the last access time with real-time time, calculates the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
Second adjustment submodule, for according to described access times information and the number of times weighting function preset, calculates the second weights influence, and according to described second weights influence adjustment the color of visited site;
3rd adjustment submodule, for according to described access frequency information and the frequency weight function preset, calculates the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
In one embodiment, data analysis module comprises:
First order submodule, for the color of visited site described in gathering, by described visited site according to respective color from deeply arranging successively to shallow;
Second order submodule, for the rank order according to described visited site, carries out rank from high to low successively to the friendliness of user and described visited site;
Data statistics submodule, for adding up the visited site of each great Qu, and gathers the color of visited site and the total quantity of each great Qu;
3rd arrangement submodule, for according to the shade of visited site and total quantity in each great Qu, carries out rank to the friendliness of user and each great Qu.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write instructions, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the disposal route of a kind of user access activity data in the embodiment of the present invention;
Fig. 2 is the process flow diagram of the disposal route of another kind of user access activity data in the embodiment of the present invention;
Fig. 3 is the process flow diagram of the step S103 of the disposal route of a kind of user access activity data in the embodiment of the present invention;
Fig. 4 is the process flow diagram of the step S104 of the disposal route of a kind of user access activity data in the embodiment of the present invention;
Fig. 5 is the process flow diagram of the disposal route of a kind of user access activity data in the specific embodiment of the invention;
Fig. 6 is the block diagram of the disposal system of a kind of user access activity data in the embodiment of the present invention;
Fig. 7 is the block diagram of the color adjustment module 63 of the disposal system of a kind of user access activity data in the embodiment of the present invention;
Fig. 8 is the block diagram of the data analysis module 64 of the disposal system of a kind of user access activity data in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
Fig. 1 is the process flow diagram of the disposal route of a kind of user access activity data of the embodiment of the present invention, as shown in Figure 1, comprises the following steps S101-S104:
Step S101: gather the video content comprising user access activity data, obtain multiple access parameters of described user access activity data according to described video content;
Step S102: according to the access parameter obtained, distinguish visited site and non-visited site, and color mark is given to described visited site on the map template preset;
Step S103: according to the access parameter of visited site in described user access activity data, adjust the color of visited site in described map template;
Step S104: according to the shade of described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
This embodiment proposes a kind of color mark that carries out on map and represents the access behavior data message of user to different regions, go up different regions according to the map and marks the difference of color, the method that the data message of accessing different regions to user is analyzed.First, the method needs the access behavioral data being obtained user by the accessing video of user, according to the access parameter in this access behavioral data, can distinguish visited site and non-visited site.Then by these visited site information labeling preset map template on, according to obtain access parameter, can on map template the shade of visited site adjust, as access times in access parameter number, access frequency height etc.Finally, according to the shade of visited site on adjusted map, can to the access behavior data analysis of user, its access times as darker in color may more, access frequency may be more high, can also advise according to analysis result output access, as exported access information to long-term non-visited site, access information etc. to infrequently visited site.The method of this embodiment is analyze the access behavioral data of user to different regions to provide solution, can reflect that user is to different areas access behavior data difference clear, intuitively, and can to accessing behavior data analysis and output access suggestion.
In one embodiment, described access parameter comprises following any one or more:
Visited site information, access time information, access times information and access frequency information.
It will be understood by those skilled in the art that and everyly can reflect the access parameter of user to the access behavior data difference of different regions, all should be included in the scope of protection of present invention, and do not limit by the above-mentioned parameter enumerated.
In one embodiment, as shown in Figure 2, the further comprising the steps of S201-S205 of the method:
Step S201: in advance access implied condition is arranged to each area on described map template, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Step S202: determine the access prompting threshold value simultaneously meeting described access time threshold value, access times threshold value and visit frequency threshold value, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Step S203: according to the shade of described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
Step S204: if reach described weight threshold value, then the user access activity data of this area are not processed;
Step S205: if do not reach described weight threshold value, then export the access prompting needing to conduct interviews to this area.
The method that this embodiment provides is mainly for the situation how judging to need output access to point out, first need to arrange different access implied conditions for different areas, as can according to the friendliness between user with different regions, exchange degree etc., the access implied condition of different regions is set respectively, and access implied condition should comprise aforesaid access time, access times, access frequency etc.Then determine the access prompting threshold value comprising above-mentioned each Parameter Conditions, and determine colour darkness threshold value corresponding on map.Finally colour darkness threshold value corresponding with this area respectively for the colour darkness of each department on map is compared, if reach colour darkness threshold value, then illustrate and the access of this area has been reached and friendliness between it, the requirement exchanging degree; If do not arrive colour darkness threshold value, then illustrate and the access of this area is not met and the friendliness between it, the demand exchanging degree etc., need to export the access information to this area.The method of this embodiment can go up the shade of each department quickly and accurately according to the map, judge to point out the need of to somewhere output access, avoid user to need to do mass data statistical work and can realize this function, save the working time, improve work efficiency.
In one embodiment, as shown in Figure 3, described step S103 can be embodied as following steps S301-S304:
Step S301: the access time information of visited site, access times information and access frequency information described in acquisition;
Step S302: the mistiming calculating the last access time and real-time time, calculates the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
Step S303: according to described access times information and the number of times weighting function preset, calculate the second weights influence, and according to described second weights influence adjustment the color of visited site;
Step S304: according to described access frequency information and the frequency weight function preset, calculate the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
This embodiment offers a kind of method that concrete calculating different access parameter affects visited site colour darkness, as to the access time, then calculate the mistiming of the last access time and real-time time, the first weights influence is calculated according to described mistiming and default mistiming weighting function, and according to described first weights influence adjustment the color of visited site, other access parameters adopt similar computing method.Through calculating the impact of multiple access parameter, and after the color in the corresponding area of corresponding adjustment, finally can be reflected the map of user to the access behavior of different regions.It will be understood by those skilled in the art that when access parameter also comprises other types parameter, also can adopt the computing method similar with said process.The method of this embodiment is accurately adjust the shade of each department on map to provide process foundation, and simple to operate, is easy to realize.
In one embodiment, as shown in Figure 4, described step S104 can be embodied as following steps S401-S404:
Step S401: the color of visited site described in collection, by described visited site according to respective color from deeply arranging successively to shallow;
Step S402: according to the rank order of described visited site, carries out rank from high to low successively to the friendliness of user and described visited site;
Step S403: the visited site adding up each great Qu, and the color of visited site and the total quantity that gather each great Qu;
Step S404: according to the shade of visited site and total quantity in each great Qu, rank is carried out to the friendliness of user and each great Qu.
The method that this embodiment provides by the behavioral data analysis that conducts interviews to the multiple areas belonging to same great Qu, and obtains the friendliness between user from different great Qu according to analysis result.After the colour darkness collecting each department on map, according to colour darkness rank, the height of the friendliness between these areas of user namely can be reflected.The method can also be analyzed the friendliness between user from different great Qu, as great Qu A, B, C, wherein A comprises visited site 2,4, B and comprises visited site 3,5, C comprises the area that visited site 1,6,7,1-7 representative is carried out according to colour darkness sorting successively.When judging user and the friendliness between great Qu A, B, C, as the mode that colour darkness rank and regional quantity can be adopted to combine, the regional quantity of C at most (3), therefore rank is the highest, and the regional quantity of A and B is identical, but A comprises the area 2 that in A, B Liang Ge great district, rank is the highest, therefore, the rank of A, higher than B, it will be understood by those skilled in the art that great Qu friendliness arrangement method is not limited to above-mentioned method.The method of this embodiment not only achieves the friendliness rank between user and different regions, also achieves the friendliness rank between multiple great Qu that user and multiple area form respectively.
The disposal route of the user access activity data that the embodiment of the present invention provides is described below by specific embodiment, as shown in Figure 5, comprises the following steps S501-S516:
Step S501: gather the video content comprising user access activity data, obtain multiple access parameters of described user access activity data according to described video content;
Step S502: according to the access parameter obtained, distinguish visited site and non-visited site, and color mark is given to described visited site on the map template preset;
Step S503: the access time information of visited site, access times information and access frequency information described in acquisition;
Step S504: the mistiming calculating the last access time and real-time time, calculates the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
Step S505: according to described access times information and the number of times weighting function preset, calculate the second weights influence, and according to described second weights influence adjustment the color of visited site;
Step S506: according to described access frequency information and the frequency weight function preset, calculate the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
Step S507: according to the shade of described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
Step S508: the color of visited site described in collection, by described visited site according to respective color from deeply arranging successively to shallow;
Step S509: according to the rank order of described visited site, carries out rank from high to low successively to the friendliness of user and described visited site;
Step S510: the visited site adding up each great Qu, and the color of visited site and the total quantity that gather each great Qu;
Step S511: according to the shade of visited site and total quantity in each great Qu, rank is carried out to the friendliness of user and each great Qu.
Step S512: in advance access implied condition is arranged to each area on described map template, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Step S513: determine the access prompting threshold value simultaneously meeting described access time threshold value, access times threshold value and visit frequency threshold value, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Step S514: according to the shade of described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
Step S515: if reach described weight threshold value, then the user access activity data of this area are not processed;
Step S516: if do not reach described weight threshold value, then export the access prompting needing to conduct interviews to this area.
Corresponding to the disposal route of a kind of user access activity data that above-described embodiment provides, the embodiment of the present invention also provides a kind of disposal system of user access activity data, as shown in Figure 6, comprising:
Parameter acquisition module 61, for gathering the video content comprising user access activity data, obtains multiple access parameters of described user access activity data according to described video content;
Area discriminating module 62, for according to the access parameter obtained, distinguishes visited site and non-visited site, and gives color mark to described visited site on the map template preset;
Color adjustment module 63, for the access parameter according to visited site in described user access activity data, adjusts the color of visited site in described map template;
Data analysis module 64, for the shade according to described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
In one embodiment, described access parameter comprises following any one or more:
Visited site information, access time information, access times information and access frequency information.
In one embodiment, also comprise:
Prompting arranges module 65, and for arranging access implied condition to each area on described map template in advance, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Threshold determination module 66, for determining the access prompting threshold value meeting described access time threshold value, access times threshold value and visit frequency threshold value simultaneously, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Color judge module 67, for the shade according to described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
First processing module 68, if for reaching described weight threshold value, then do not processed the user access activity data of this area;
Second processing module 69, if for not reaching described weight threshold value, then exports the access prompting needing to conduct interviews to this area.
In one embodiment, as shown in Figure 7, described color adjustment module 63 comprises:
Acquisition of information submodule 631, for the access time information of visited site, access times information and access frequency information described in obtaining;
First adjustment submodule 632, for the mistiming of the last access time with real-time time, calculates the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
Second adjustment submodule 633, for according to described access times information and the number of times weighting function preset, calculates the second weights influence, and according to described second weights influence adjustment the color of visited site;
3rd adjustment submodule 634, for according to described access frequency information and the frequency weight function preset, calculates the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
In one embodiment, as shown in Figure 8, data analysis module 64 comprises:
First order submodule 641, for the color of visited site described in gathering, by described visited site according to respective color from deeply arranging successively to shallow;
Second order submodule 642, for the rank order according to described visited site, carries out rank from high to low successively to the friendliness of user and described visited site;
Data statistics submodule 643, for adding up the visited site of each great Qu, and gathers the color of visited site and the total quantity of each great Qu;
3rd arrangement submodule 644, for according to the shade of visited site and total quantity in each great Qu, carries out rank to the friendliness of user and each great Qu.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a disposal route for user access activity data, is characterized in that, comprising:
Steps A: gather the video content comprising user access activity data, obtain multiple access parameters of described user access activity data according to described video content;
Step B: according to the access parameter obtained, distinguish visited site and non-visited site, and color mark is given to described visited site on the map template preset;
Step C: according to the access parameter of visited site in described user access activity data, adjust the color of visited site in described map template;
Step D: according to the shade of described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
2. the disposal route of user access activity data as claimed in claim 1, it is characterized in that, described access parameter comprises following any one or more:
Visited site information, access time information, access times information and access frequency information.
3. the disposal route of user access activity data as claimed in claim 2, is characterized in that, also comprise:
Step e: in advance access implied condition is arranged to each area on described map template, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Step F: determine the access prompting threshold value simultaneously meeting described access time threshold value, access times threshold value and visit frequency threshold value, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Step G: according to the shade of described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
Step H: if reach described weight threshold value, then the user access activity data of this area are not processed;
Step I: if do not reach described weight threshold value, then export the access prompting needing to conduct interviews to this area.
4. the disposal route of user access activity data as claimed in claim 2, it is characterized in that, described step C comprises:
The access time information of visited site, access times information and access frequency information described in acquisition;
Calculate the mistiming of the last access time and real-time time, calculate the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
According to described access times information and the number of times weighting function preset, calculate the second weights influence, and according to described second weights influence adjustment the color of visited site;
According to described access frequency information and the frequency weight function preset, calculate the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
5. the disposal route of user access activity data as claimed in claim 1 or 2, it is characterized in that, described step D comprises:
The color of visited site described in collection, by described visited site according to respective color from deeply arranging successively to shallow;
According to the rank order of described visited site, successively rank is carried out from high to low to the friendliness of user and described visited site;
Add up the visited site of each great Qu, and gather the color of visited site and the total quantity of each great Qu;
According to the shade of visited site and total quantity in each great Qu, rank is carried out to the friendliness of user and each great Qu.
6. a disposal system for user access activity data, is characterized in that, comprising:
Parameter acquisition module, for gathering the video content comprising user access activity data, obtains multiple access parameters of described user access activity data according to described video content;
Area discriminating module, for according to the access parameter obtained, distinguishes visited site and non-visited site, and gives color mark to described visited site on the map template preset;
Color adjustment module, for the access parameter according to visited site in described user access activity data, adjusts the color of visited site in described map template;
Data analysis module, for the shade according to described visited site, to described user access activity data analysis;
According to the information of analysis result output access suggestion.
7. the disposal system of user access activity data as claimed in claim 1, it is characterized in that, described access parameter comprises following any one or more:
Visited site information, access time information, access times information and access frequency information.
8. the disposal system of user access activity data as claimed in claim 7, is characterized in that, also comprise:
Prompting arranges module, and for arranging access implied condition to each area on described map template in advance, described access implied condition comprises default access time threshold value, default access times threshold value and default visit frequency threshold value;
Threshold determination module, for determining the access prompting threshold value meeting described access time threshold value, access times threshold value and visit frequency threshold value simultaneously, determines corresponding colour darkness threshold value according to described access prompting threshold value;
Color judge module, for the shade according to described visited site, described in judgement, whether the shade of visited site reaches described colour darkness threshold value;
First processing module, if for reaching described weight threshold value, then do not processed the user access activity data of this area;
Second processing module, if for not reaching described weight threshold value, then exports the access prompting needing to conduct interviews to this area.
9. the disposal system of user access activity data as claimed in claim 7, it is characterized in that, described color adjustment module comprises:
Acquisition of information submodule, for the access time information of visited site, access times information and access frequency information described in obtaining;
First adjustment submodule, for the mistiming of the last access time with real-time time, calculates the first weights influence according to described mistiming and the mistiming weighting function preset, and the color of visited site described in adjusting according to described first weights influence;
Second adjustment submodule, for according to described access times information and the number of times weighting function preset, calculates the second weights influence, and according to described second weights influence adjustment the color of visited site;
3rd adjustment submodule, for according to described access frequency information and the frequency weight function preset, calculates the 3rd weights influence, and according to described 3rd weights influence adjustment the color of visited site.
10. the disposal system of user access activity data as claimed in claims 6 or 7, it is characterized in that, data analysis module comprises:
First order submodule, for the color of visited site described in gathering, by described visited site according to respective color from deeply arranging successively to shallow;
Second order submodule, for the rank order according to described visited site, carries out rank from high to low successively to the friendliness of user and described visited site;
Data statistics submodule, for adding up the visited site of each great Qu, and gathers the color of visited site and the total quantity of each great Qu;
3rd arrangement submodule, for according to the shade of visited site and total quantity in each great Qu, carries out rank to the friendliness of user and each great Qu.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105933328A (en) * | 2016-06-12 | 2016-09-07 | 北京三快在线科技有限公司 | Method and device for processing user access behaviors |
| CN106611347A (en) * | 2015-10-23 | 2017-05-03 | 北京国双科技有限公司 | Information processing method and device |
| CN106778892A (en) * | 2016-12-28 | 2017-05-31 | 珠海市魅族科技有限公司 | A kind of method and terminal for testing cohesion |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102779174A (en) * | 2012-06-26 | 2012-11-14 | 北京奇虎科技有限公司 | Public opinion information display system and method |
| CN104391853A (en) * | 2014-09-25 | 2015-03-04 | 深圳大学 | POI (point of interest) recommending method, POI information processing method and server |
| CN104484401A (en) * | 2014-12-12 | 2015-04-01 | 北京国双科技有限公司 | Statistical method and device for interface access data |
| CN104504085A (en) * | 2014-12-24 | 2015-04-08 | 天脉聚源（北京）科技有限公司 | Method and device for displaying statistical data |
| CN104699792A (en) * | 2015-03-17 | 2015-06-10 | 北京京东尚科信息技术有限公司 | Data analysis method and device |
-
2015
- 2015-07-06 CN CN201510391709.3A patent/CN104965915B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102779174A (en) * | 2012-06-26 | 2012-11-14 | 北京奇虎科技有限公司 | Public opinion information display system and method |
| CN104391853A (en) * | 2014-09-25 | 2015-03-04 | 深圳大学 | POI (point of interest) recommending method, POI information processing method and server |
| CN104484401A (en) * | 2014-12-12 | 2015-04-01 | 北京国双科技有限公司 | Statistical method and device for interface access data |
| CN104504085A (en) * | 2014-12-24 | 2015-04-08 | 天脉聚源（北京）科技有限公司 | Method and device for displaying statistical data |
| CN104699792A (en) * | 2015-03-17 | 2015-06-10 | 北京京东尚科信息技术有限公司 | Data analysis method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106611347A (en) * | 2015-10-23 | 2017-05-03 | 北京国双科技有限公司 | Information processing method and device |
| CN105933328A (en) * | 2016-06-12 | 2016-09-07 | 北京三快在线科技有限公司 | Method and device for processing user access behaviors |
| CN106778892A (en) * | 2016-12-28 | 2017-05-31 | 珠海市魅族科技有限公司 | A kind of method and terminal for testing cohesion |
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