CN105701134A - Method for quickly previewing electronic book, and electronic book having quick preview reading mode - Google Patents
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Abstract
The invention discloses a method for quickly previewing an electronic book, and the electronic book having a quick preview reading mode. The method comprises the following steps of: (1), numbering content objects of the electronic book; (2), segmenting the content objects; (3), acquiring user natural attribute information and user behaviour attribute information; (4), counting hotspot contents according to the dimensionality of the natural attribute and the dimensionality of the behaviour attribute; and (5), displaying the hotspot contents on a screen according to a triggering command.
Description
Technical field
The present invention relates to a kind of e-book rapid preview method, the invention still further relates to the e-book with rapid preview reading model。
Background technology
People stroll bookstore and buy book, it will usually rapid page, find part interested, then read one section in detail, then decide whether to buy this this book。But the big weakness that e-book compares paper book is that it can not equally pass through both hands rapid page by sensitive paper book, it is common that pulled by progress bar or catalogue redirects the fast browsing carrying out poor efficiency。
Open being only used for of background above technology contents assists the inventive concept and technical scheme of understanding the present invention, it not necessarily belongs to the prior art of present patent application, not having tangible proof to show, foregoing is in the applying date disclosed situation of present patent application, and above-mentioned background technology should not be taken to evaluate novelty and the creativeness of the application。
Summary of the invention
The present invention (mainly) purpose is in that propose a kind of e-book rapid preview method and have the e-book of rapid preview reading model, the technical problem that the poor efficiency existed to solve above-mentioned prior art browses。
For this, the present invention proposes a kind of method of e-book rapid preview, comprises the steps: the first step: the content object of e-book is numbered；Second step: described content object is carried out segmentation；3rd step: gather user's natural quality information and user behavior attribute information；4th step: count Hot Contents according to the dimension of the dimension of described natural quality and behavior property；5th step: described Hot Contents is presented on screen according to triggering command。
Described behavior property information includes the duration that each content object of e-book presents on screen。
The duration that described behavior property information includes the length of reader's content association and described content association presents on screen。
Described content object includes character, form, picture, audio frequency, video。
Described 4th step specifically includes following steps: determines the natural quality dimension needing statistics, sets the weighted value of each natural quality dimension；Carry out the first weight computing, it is thus achieved that the hot value of single behavior attribute dimensions；The hot value counting single behavior attribute dimensions is Hot Contents more than the content of threshold value。
Described 4th step specifically includes following steps: determines the natural quality dimension needing statistics, and sets the weighted value of each natural quality dimension；Determine the behavior property dimension that need to add up, and set the weighted value of each behavior property dimension；Carry out the first weight computing, it is thus achieved that the hot value of single behavior attribute dimensions；Carry out the second weight computing, it is thus achieved that the various dimensions hot value of at least two behavior property dimension；Count various dimensions hot value and be Hot Contents more than the content of threshold value。
Described 4th step specifically includes following steps: determines the natural quality dimension needing statistics, and sets the weighted value of each natural quality dimension；Determine the behavior property dimension that need to add up, and set the weighted value of each behavior property dimension；Carry out the first weight computing, it is thus achieved that the hot value of single behavior attribute dimensions；Carry out the second weight computing, it is thus achieved that the Thermal Synthetic angle value of all behavior property dimensions；Count Thermal Synthetic angle value and be Hot Contents more than the content of threshold value。
Also comprise the steps: to generate according to described Hot Contents temperature spectrogram or temperature curve chart after 4th step, described temperature spectrogram or temperature curve chart have and quickly positions bar。
Described 5th step navigates to described Hot Contents by mobile described quick location bar。
For this, the present invention also proposes a kind of e-book with rapid preview reading model, it is characterised in that: including numbering module, segmentation module, acquisition module, hotspot's definition module and control module, the content object of e-book is numbered by described numbering module；Described content object is carried out segmentation by described segmentation module；Described acquisition module gathers user's natural quality information and user behavior attribute information；Described hotspot's definition module counts Hot Contents according to the dimension of described natural quality and the dimension of behavior property；Described Hot Contents is presented on screen by described control module according to triggering command。
The beneficial effect that the present invention is compared with the prior art includes: the behavior property information that present patent application is stayed in e-book reading process by each user of statistics, provide the user the function of true significant rapid preview。This can help user to control e-book overview comprehensively, and operation is succinct, and a step can rapid preview contents fragment。Further, present patent application provides the user the function of rapid preview according to multiple conditions such as the effective stay time of other users, notes bar number, the popular situations of notes, its meaning is in that: in conjunction with the data statistics of various dimensions, provide the user targeted strong can preview content。
Accompanying drawing explanation
Fig. 1 is the flow chart of the e-book rapid preview method of present patent application；
Fig. 2 is the schematic diagram of the temperature curve chart using present patent application to generate；
Fig. 3 is the schematic diagram of the e-book rapid preview using present patent application；
Fig. 4 is the schematic diagram of the temperature spectrogram using present patent application to generate；
Fig. 5 uses the content segments statistics schematic diagram in present patent application；Fig. 6 is the structural representation of the e-book having rapid preview reading model of present patent application。
Detailed description of the invention
Below in conjunction with detailed description of the invention and compare accompanying drawing the present invention is described in further detail。It is emphasized that the description below is merely exemplary, rather than in order to limit the scope of the present invention and application thereof。
With reference to the following drawings, describing the embodiment of non-limiting and nonexcludability, wherein identical accompanying drawing labelling represents identical parts, unless stated otherwise。
It would be recognized by those skilled in the art that it is possible that above description is made numerous accommodation, so embodiment is intended merely to the one or more particular implementation of description。
As it is shown in figure 1, a kind of method of e-book rapid preview, comprise the steps:
The first step: the content object of e-book is numbered。
Content object can include character, form, picture, audio frequency, video。Each content object can be numbered。Numbering can adopt the mode that natural number is incremented by。
Second step: content object is carried out segmentation。
Content object can be carried out segmentation according to respective rule, include but not limited to: according to number of words, according to chapters and sections, according to paragraph, according to medium type, carry out segmentation according to the mode such as quantity (percentage ratio) of content object, obtain from 1 to N number of contents fragment (note: contents fragment is the combination of one or more continuous content object, N hereinafter all refers to the total value of contents fragment, n hereinafter refers to the n-th contents fragment, wherein 1≤n≤N)。
3rd step: gather user's natural quality information and user behavior attribute information。
User's natural quality: the attribute that user group is intrinsic under field conditions (factors), such as: sex, age, area, time etc.。
User behavior attribute: the action behavior that user group produces under field conditions (factors), such as: purchase, collection, reading, comment etc.。
In one embodiment, the behavior property information of statistics includes the duration that each content object of e-book presents on screen。In the reading process of e-book, with tlv triple (obj_id, time, duration) form records sart point in time and the duration that each content object presents on screen, obj_id is the content object numbering of e-book, time is that eBook content object presents the time started at screen, and duration is the duration that content object presents。Foregoing object number can also change coding into。The visible following table of detailed description of tlv triple:
Certainly, when actual operation, it is not restricted to above-mentioned tlv triple, it is possible to can comprise more such as information such as age, sex, areas。
Compared to existing technology, " tlv triple (obj_id, time, duration) " form is used to have the advantage that
1. data are from readers and users, more can embody the preference of user。
2. data by analysis after, it is possible to identify each contents fragment fancy grade of user under different dimensions is added up accurately。
3. user can select oneself dimension interested, from the result of big data analysis, obtains the hot value of content, is used for judging whether content meets the hobby of oneself, if is suitable for buying, collecting or other operation。
The information of triple form is by automatically, collect accurately, and this big data analysis being follow-up provides basis, it is thus possible to realize rapid preview。
In another embodiment, the behavior property information of statistics includes the length of reader's content association and the follow-up duration presented on screen of this content association。The single or multiple continuous print objects just chosen, the object of association by the figure outside e-book, literary composition, audio frequency, object video associated, and can be uploaded to cloud server by reader, and other readers click source mark can present this object。Reader is contents fragment association word, picture, audio frequency, the video of e-book in reading process, record format is four-tuple: (contents fragment initiates obj_id, contents fragment terminates obj_id, time, length), wherein, time refers to the time point of the content that reader associates, and length refers to the length of the content of association。Described content-length: text calculates by number of words, picture is by a calculating, and Voice & Video presses duration calculation。
The visible following table of detailed description of four-tuple:
Certainly, in implementation process, it is not restricted to above-mentioned four-tuple, it is possible to can comprise more such as information (being hereinafter collectively referred to as: natural quality dimension) such as age, sex, areas。
The data syn-chronization of the above-mentioned behavioral data added up and other behaviors of user is to cloud server, and other behaviors above-mentioned include but not limited to: forwards, shares, comment, collection, add shopping cart, buying, point is praised, and adds (being hereinafter collectively referred to as: behavior property dimension) such as notes。
4th step: count Hot Contents according to natural quality dimension and behavior property dimension。
The concrete steps of definition Hot Contents can include as follows:
4.1 set the natural quality dimension needing statistics, and set the weighted value PK of each natural quality dimensionp(having assumed P natural quality dimension altogether presetting, 1≤p≤P, hereinafter: p represents pth natural quality dimension, P represents the natural quality dimension total value of setting, PKpRepresent the weighted value under natural quality dimension)
The 4.2 behavior property dimensions determining statistics, and set the weighted value AK of each behavior property dimensiona(assuming a presetting A behavior property dimension, 1≤a≤A, hereinafter: a represents a behavior property dimension, A represents the total value of behavior property dimension, AKaRepresent behavior property weighted value)
4.3 submit the data gathered in the 3rd steps to, and data are quantified, and count user information data total amount C under some specific behavior attribute dimensions and different 3 conditions of natural quality dimension on the n-th contents fragmentnp(Cnp: current statistic information data total amount out, above the n-th contents fragment, under pth natural quality dimension, completing the summation after quantifying is Cnp。In 4.3 steps, C can be usednp(1≤n≤N, 1≤p≤P) represents information data total amount under different natural quality dimension)。
Quantify: information data is converted to the numerical data that can add up by this document middle finger。The method quantified can according to the behavior number of times of user, and user behavior duration etc. is changed。Such as: user have purchased a book, it is possible to is quantified as 1；In like manner, if the user while the n-th contents fragment has read half a minute, it is possible to be quantified as 0.5。
4.4 carry out the first weight computing, it is thus achieved that the hot value (hereinafter referred one-dimensional degree hot value) of single behavior attribute dimensions。
Algorithm: Sna=Cn1*PK1+Cn2*PK2+Cn3*PK3+…
Wherein SnaThe result drawn after mark current operation, hereafter can take current SnaResult is the second weight computing (SnaRepresent: on the n-th contents fragment, under a behavior property dimension, the hot statistics result of all natural quality dimensions)
Such as: need now to count 1 caricature (being hereafter called B1 respectively) the 8th section (according to the method described above, content is carried out segmentation, 8 < forwarding behavior property temperature n),
Define following natural quality dimension: Beijing, Shanghai, Shenzhen and Guangzhou；
And set the weight of correspondence: 1:1:5:3；
Data acquisition information data volume: B1:3W, 8W, 120W, 70W；(W: unit, 10000=1W)
Carry out the first weight computing and obtain single behavior property hot value: 3*1+8*1+120*5+70*3=837
After the first weight computing, it is possible to count on one-dimensional degree hot value
The one-dimensional degree hot value that 4.5 pairs of multiple or whole behavior properties come out, usage behavior attribute weight AKaCarry out the second weight computing, it is possible to get various dimensions hot value or overall dimensions hot value and (if statistics is 2 to A-1 behavior property dimension, obtain to result being called various dimensions hot value, if all behavior property dimensions, the result obtained is called overall dimensions hot value)
4.6 second weight computing various dimensions hot value, overall dimensions hot value formula:
Vn=Sn1*AK1+Sn2*AK2+…
Such as: got now the collecting craze angle value 921 of B1, buying hot value 520, forward hot value 837, corresponding weight is respectively as follows: 0.3:0.5:0.2, use algorithm: 921*0.3+520*0.5+837*0.2=703.7, then B1 Thermal Synthetic angle value on the 8th contents fragment is 703.7。
4.7, by 5 little steps above, have got in the one-dimensional degree hot value of the n-th contents fragment, various dimensions hot value, Thermal Synthetic angle value。In like manner obtain the one-dimensional degree hot value of each contents fragment, various dimensions hot value, Thermal Synthetic angle value (for convenience of describing, hereafter unified use Thermal Synthetic angle value is introduced) successively, finally can get a data set [{ 1, V1, { 2, V2..., { n, Vn... { N, VN], each element { n, V thereinn, n represents the n-th contents fragment, VnRepresent the Thermal Synthetic angle value on the n-th contents fragment。
Can by content-defined for Hot Contents more than threshold value of one-dimensional degree hot value。Can also by content-defined for Hot Contents more than threshold value of various dimensions hot value。Can also by content-defined for Hot Contents more than threshold value of Thermal Synthetic angle value。
As it is shown in figure 5, successively each contents fragment is carried out hot value statistics, thus completing the statistics of the hot value of all the elements fragment。
If the result data added up has been synchronized to cloud server, then cloud server can generate " temperature spectrogram " based on all of reader conduct data of attribute information of every book for these books。
In like manner, cloud server according to the data come out, can also draw " temperature curve chart "。
As shown in Figure 4, in temperature spectrogram, it is possible to the more bright place of definition color, represent that this contents fragment is more popular with users, in like manner, in the place that color is more dim, represent that this section of content is liked degree on the low side by user。In modern the colorful one terminal unit, it is also possible to define and use more abundant color, go to express the pouplarity of each contents fragment。
In temperature curve chart as shown in Figure 2, obtain all peak value (obj_id1 in obj_id1 and obj_id2 range intervals, obj_id2 is the numbering of content object, and obj_id1 < obj_id2), namely the abscissa (N axle) that peak value is corresponding represents the location of content that contents fragment and user's matching degree within the scope of this are higher。
In Fig. 2, V uses big data analysis statistical content Thermal Synthetic angle value out, and V-value is more big, and the matching degree of content and user is more high, and this user more applicable reads, and more meets the reading hobby of user, custom, and vice versa；
In Fig. 2, N is contents fragment, and according to paragraph, chapters and sections, number of words, medium type, picture number, the mode such as percentage ratio carries out segmentation, obtains from 1 to N number of contents fragment。
In Fig. 2, TV4 is the maximum in obj_id1 and obj_id2 range intervals in all peak values, namely shows within the scope of this, and contents fragment and user's matching degree of its corresponding N shaft position are the highest, are the favorite contents of user。
Mobile equipment is used to read, the feature that its screen is little, cause showing complete temperature curve chart, user can freely determine that the value of obj_id1 and obj_id2 rationally selects to show the scope of temperature curve chart on screen。
Quickly positioning bar: in terminal unit, coordinate temperature spectrogram, temperature curve chart, user quickly positions bar by mobile, it is possible to achieve the rapid page preview to content。Such as: user is when one new e-book of rapid preview, and this this book, user did not have any understanding, when he sees this this book of electronics, first can pass through to ask temperature spectrogram or temperature curve chart。At this moment, user just can very clear and definite knowing, this this e-book, its Hot Contents is where, has how many Hot Contents, the distribution of Hot Contents；Meanwhile, user also only need to quickly position bar by mobile, screen will carry out quick content page turning, position and present, and user also just can contents fragment corresponding to rapid reading。
5th step: on the terminal device, user by the mode of triggering command, can also obtain all of Hot Contents and show, temperature content ordering can also be shown by user according to no condition simultaneously, as: show according to the name placement of content, or be ranked up showing according to the temperature of content。Such as Fig. 3, user obtains all Hot Contents and is illustrated on screen, further by selecting concrete Hot Contents, it is achieved rapid preview (hereinafter referred to as this methods of exhibiting is: Hot Contents list)。
Triggering command: a kind of mode operating terminal unit, as: click, double-click, grow modes of operation such as pressing。
Pass through triggering command, terminal unit asks hot value data to cloud server, and enter e-book rapid preview pattern, as in Hot Contents list: the first interface can be given tacit consent to and present four viewing areas, according to the effective stay time of other users, notes bar number, the multiple conditions such as the popular situation of notes, the contents fragment of the most worth preview is filtered out for new readers and users, present order to be ranked up according to the priority arrangement of its percentage in book or the hot value of content, user continues preview backward by page turning or sliding type, click arbitrary content fragment and jump directly to corresponding reading area。
As shown in Figure 6, a kind of e-book with rapid preview reading model, including statistical module, hotspot's definition module and control module, the behavior property information that each content object to e-book that statistical module counts e-book stays in by reading process is relevant, hotspot's definition module goes out Hot Contents according to behavior property information definition, controls module and is presented in a designated order on screen by Hot Contents according to triggering command。
Present patent application is with social e-book reading software for platform, by adding up behavior property information and the natural quality information that each user stays in e-book reading process, for instance: effective stay time, notes bar number, notes hot topic situation；The multiple conditions such as area, time, sex, age, provide the user the function of true significant rapid preview。Present patent application provides the user the function of rapid preview according to other multiple conditions such as user behavior attribute data and natural quality data, and its meaning is in that: in conjunction with the data statistics of various dimensions, provide the user targeted strong can preview content；Help user to control e-book overview comprehensively；Operation is succinct, and a step can rapid preview contents fragment。
Although having been described above and describe the example embodiment being counted as the present invention, it will be apparent to those skilled in the art that and it can be variously modified and replace, without departing from the spirit of the present invention。Furthermore it is possible to make many amendments particular case to be fitted to the religious doctrine of the present invention, without departing from invention described herein central concept。So, the present invention is not only restricted to specific embodiment disclosed here, but the present invention is likely to also include belonging to all embodiments and the equivalent thereof of the scope of the invention。
Claims (10)
1. the method for an e-book rapid preview, it is characterised in that comprise the steps:
The first step: the content object of e-book is numbered；
Second step: described content object is carried out segmentation；
3rd step: gather user's natural quality information and user behavior attribute information；
4th step: count Hot Contents according to the dimension of the dimension of described natural quality and behavior property；
5th step: described Hot Contents is presented on screen according to triggering command。
2. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: described behavior property information includes the duration that each content object of e-book presents on screen。
3. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: the duration that described behavior property information includes the length of reader's content association and described content association presents on screen。
4. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: described content object includes character, form, picture, audio frequency, video。
5. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: described 4th step specifically includes following steps:
Determine the natural quality dimension needing statistics, and set the weighted value of each natural quality dimension；
Carry out the first weight computing, it is thus achieved that the hot value of single behavior attribute dimensions；
The hot value counting single behavior attribute dimensions is Hot Contents more than the content of threshold value。
6. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: described 4th step specifically includes following steps:
Determine the natural quality dimension needing statistics, and set the weighted value of each natural quality dimension；
Determine the behavior property dimension that need to add up, and set the weighted value of each behavior property dimension；
Carry out the first weight computing, it is thus achieved that the hot value of single behavior attribute dimensions；
Carry out the second weight computing, it is thus achieved that the various dimensions hot value of at least two behavior property dimension；
Count various dimensions hot value and be Hot Contents more than the content of threshold value。
7. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: described 4th step specifically includes following steps:
Determine the natural quality dimension needing statistics, and set the weighted value of each natural quality dimension；
Determine the behavior property dimension that need to add up, and set the weighted value of each behavior property dimension；
Carry out the first weight computing, it is thus achieved that the hot value of single behavior attribute dimensions；
Carry out the second weight computing, it is thus achieved that the Thermal Synthetic angle value of all behavior property dimensions；
Count Thermal Synthetic angle value and be Hot Contents more than the content of threshold value。
8. the method for e-book rapid preview as claimed in claim 1, it is characterised in that: also comprise the steps: to generate according to described Hot Contents temperature spectrogram or temperature curve chart after the 4th step, described temperature spectrogram or temperature curve chart have and quickly positions bar。
9. the method for e-book rapid preview as claimed in claim 8, it is characterised in that: described 5th step navigates to described Hot Contents by mobile described quick location bar。
10. an e-book with rapid preview reading model, it is characterised in that: including numbering module, segmentation module, acquisition module, hotspot's definition module and control module, the content object of e-book is numbered by described numbering module；Described content object is carried out segmentation by described segmentation module；Described acquisition module gathers user's natural quality information and user behavior attribute information；Described hotspot's definition module counts Hot Contents according to the dimension of described natural quality and the dimension of behavior property；Described Hot Contents is presented on screen by described control module according to triggering command。
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| CN109375974A (en) * | 2018-09-26 | 2019-02-22 | 掌阅科技股份有限公司 | Book pages show method, calculate equipment and computer storage medium |
| CN110286814A (en) * | 2019-06-04 | 2019-09-27 | 深圳前海达闼云端智能科技有限公司 | Page content display method, device, storage medium and electronic equipment |
| CN111046295A (en) * | 2019-12-27 | 2020-04-21 | 掌阅科技股份有限公司 | Response method of book review page, computing device and computer storage medium |
| CN111339742A (en) * | 2020-03-26 | 2020-06-26 | 掌阅科技股份有限公司 | Note region dividing method, terminal and computer storage medium |
| CN112100176A (en) * | 2020-09-03 | 2020-12-18 | 北京得到信息科技有限公司 | Electronic book reading progress calculation method and system |
| CN112100176B (en) * | 2020-09-03 | 2024-01-19 | 北京得到信息科技有限公司 | E-book reading progress calculation method and system |
| CN113609286A (en) * | 2021-08-23 | 2021-11-05 | 掌阅科技股份有限公司 | Method for determining description information of electronic book, electronic equipment and computer storage medium |
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