CN103530487A - Data statistical method capable of reflecting book popularity variation - Google Patents

Data statistical method capable of reflecting book popularity variation Download PDF

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Publication number
CN103530487A
CN103530487A CN201210226080.3A CN201210226080A CN103530487A CN 103530487 A CN103530487 A CN 103530487A CN 201210226080 A CN201210226080 A CN 201210226080A CN 103530487 A CN103530487 A CN 103530487A
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China
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time
books
value
term
record
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CN201210226080.3A
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Chinese (zh)
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韩军
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Niuhai Information Technology (Shanghai) Co Ltd
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Niuhai Information Technology (Shanghai) Co Ltd
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Priority to CN201210226080.3A priority Critical patent/CN103530487A/en
Publication of CN103530487A publication Critical patent/CN103530487A/en
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

Provided is a data statistical method capable of reflecting book popularity variation. The data statistical method comprises the steps that a book popularity variation information data model is established; the quantitative index of short term popularity and the quantitative index of mid-and-long term popularity are given out according to book popularity variation information; at last book purchasing and sale automatic management are achieved according to the quantitative indexes. The data statistical method capable of reflecting book popularity variation can effectively reflect the tendency of the short term and mid-and-long term popularity of books, and can be used for a book sales automatic management system.

Description

A kind of data statistical approach that reflects that books hot topic degree changes
Technical field
The present invention relates to field of computer technology, relate in particular to a kind of data statistical approach that reflects that books hot topic degree changes.
Background technology
In recent years, along with the progress of computer and network technology, network Books Marketing is more and more popularized.Website can provide the good platform that presents for Books Marketing, and not limited by shelf, can endless expansion books class.But for the operator of internet book store, books entity still needs to purchase, storage, transportation management, can not unrestrictedly expand books class, still needs resource to put on popular books.This judges following books fashion trend with regard to needing a books hot topic degree evaluation method to help website operator.
Traditional books hot topic degree evaluation method often only judges according to Books Marketing amount or pageview, fails to embody the popular degree evolving trend of relation in time, not yet has evaluation method to consider this important indicator of amount of reading of the free chapters and sections of books simultaneously.
Summary of the invention
In view of this, a kind ofly can reflect more comprehensively books fashion trend, embody short-term hot topic degree and the medium-term and long-term popular degree of books, the method that particularly can quantize books hot topic degree change indicator is very useful.
For addressing the above problem, the invention provides the popular degrees of data statistical appraisal of a kind of books for network bookstore method, its technical scheme comprises:
In time cycle t, record the online access amount of books, be designated as V t;
In time cycle t, record the free chapters and sections amount of reading of books, be recorded as R t
In time cycle t, record the sales volume of books, be recorded as S t;
Calculate V t, R tand S thalf life period, be designated as V h, R hand S h;
Calculate V t, R tand S tthe multiplication phase, be designated as V d, R dand S d;
The computing formula of the popular index S of short-term of books is expressed as:
S = ∝ ( ln 2 V d - ln 2 V h ) + β ( ln 2 R d - ln 2 R h ) + γ ( ln 2 S d - ln 2 S h )
The computing formula of the medium-term and long-term popular index L of books is expressed as:
L = ∝ ln 2 V d - V h + β ln 2 R d - R h + γ ln 2 S d - S h
α, beta, gamma is constant, for the calculating of S and L, α, beta, gamma is desirable different numerical value respectively.
The present invention can also be by V t, R tand S thalf life period be defined as follows:
In period of time T, record V t, R tand S tpeak value, record time to peak point T simultaneously v, T rand T s;
Work as V t, R tand S tvalue be reduced to a half of peak point, record current point in time t v, t rand t s; V t, R tand S tthe current point in time that equals separately of half life period deduct time to peak point.
The present invention can also be by V t, R tand S tthe multiplication phase be defined as follows:
In period of time T, record V t, R tand S tmean value, simultaneously with the interlude point in period of time T, put T writing time v, T rand T s;
Work as V t, R tand S tvalue while reaching a times of mean value, record current point in time t v, t rand t s; V t, R tand S tthe current point in time that equals separately of half life period deduct mean value time point.
The present invention is all right, works as V t, R tor S thalf life period while not existing, for the popular index of short-term, half life period value is ∞; For long-term popular index, half life period value is 0.
The present invention is all right, works as V t, R tor S tmultiplication phase while not existing, for the popular index of short-term, multiplication phase value is ∞; For long-term popular index, multiplication phase value is 0.
The above-mentioned decay of the books hot topic degree for network bookstore evaluation method has taken into full account books online access amount, chapters and sections amount of reading and three important indicators of sales volume, and can embody the variation tendency of above-mentioned three indexs on different time interval, final popular degree index can more fully reflect books short-term and medium-term and long-term popular degree situation of change.
Embodiment
1) with the shelving date with starting point, in time cycle t, record online visit capacity, free chapters and sections amount of reading and sales volume; Obtain online access amount, chapters and sections amount of reading and the sales volume historical record of these books:
{V t0，V t1，V t2...},{R t0，R t1，R t2...},{R t0，R t1，R t2...}
2) in period of time T, record maximum online access amount, maximum chapters and sections amount of reading and greatest sales, be recorded as (V max, T v), (R max, T r), (S max, T s), T wherein vexpression obtains the time of maximum online access amount, T rexpression obtains the time point of maximum chapters and sections amount of reading, wherein T sexpression obtains the time point of greatest sales.
3) in period of time T, record average online access amount, maximum chapters and sections amount of reading and greatest sales, be recorded as (V avg, T v'), (R avg, T r'), (S avg, T s'), T v', T r' and T s' equal the interlude point in cycle T.
4) calculate the half life period:
Work as V t, R tand S tvalue be reduced to a half of peak point, record current point in time t v, t rand t s, V t, R tand S tthe current point in time that equals separately of half life period deduct time to peak point,
V h＝t V-T V
R h＝t R-T R
S h＝t S-T S
5) calculate the multiplication phase:
Work as V t, R tand S tvalue while reaching a times of mean value, record current point in time t v, t rand t s, V t, R tand S tthe current point in time that equals separately of multiplication phase deduct mean value time point,
V d＝t V-T V′
R d＝t R-T R′
S d＝t S-T S′
6) work as V t, R tor S thalf life period while not existing, for the popular index of short-term, half life period value is ∞; For long-term popular index, half life period value is 0.
7) work as V t, R tor S tmultiplication phase while not existing, for the popular index of short-term, multiplication phase value is ∞; For long-term popular index, multiplication phase value is 0.
8) calculate the popular degree index of books:
The computing formula of the popular index S of short-term of books is expressed as:
S = ∝ ( ln 2 V d - ln 2 V h ) + β ( ln 2 R d - ln 2 R h ) + γ ( ln 2 S d - ln 2 S h )
The computing formula of the medium-term and long-term popular index L of books is expressed as:
L = ∝ ln 2 V d - V h + β ln 2 R d - R h + γ ln 2 S d - S h
α, beta, gamma is constant, for the calculating of S and L, α, beta, gamma is desirable different numerical value respectively.

Claims (5)

1. reflect the data statistical approach that books hot topic degree changes, it is characterized in that, comprise the steps:
In time cycle t, record the online access amount of books, be designated as V t;
In time cycle t, record the free chapters and sections amount of reading of books, be recorded as R tin time cycle t, record the sales volume of books, be recorded as S t;
Calculate V t, R tand S thalf life period, be designated as V h, R hand S h;
Calculate V t, R tand S tthe multiplication phase, be designated as V d, R dand S d;
The computing formula of the popular index S of short-term of books is expressed as:
S = ∝ ( ln 2 V d - ln 2 V h ) + β ( ln 2 R d - ln 2 R h ) + γ ( ln 2 S d - ln 2 S h )
The computing formula of the medium-term and long-term popular index L of books is expressed as:
L = ∝ ln 2 V d - V h + β ln 2 R d - R h + γ ln 2 S d - S h
α, beta, gamma is constant, for the calculating of S and L, α, beta, gamma is desirable different numerical value respectively.
2. method according to claim 1, is characterized in that, V t, R tand S thalf life period be defined as follows:
In period of time T, record V t, R tand S tpeak value, record time to peak point T simultaneously v, T rand T s;
Work as V t, R tand S tvalue be reduced to a half of peak point, record current point in time t v, t rand t s;
V t, R tand S tthe current point in time that equals separately of half life period deduct time to peak point.
3. method according to claim 1, is characterized in that, V t, R tand S tthe multiplication phase be defined as follows:
In period of time T, record V t, R tand S tmean value, simultaneously with the interlude point in period of time T, put T writing time v, T rand T s;
Work as V t, R tand S tvalue while reaching a times of mean value, record current point in time t v, t rand t s;
V t, R tand S tthe current point in time that equals separately of half life period deduct mean value time point.
4. according to the method in claim 2 or 3, it is characterized in that, work as V t, R tor S thalf life period while not existing, for the popular index of short-term, half life period value is ∞; For long-term popular index, half life period value is 0.
5. according to the method in claim 2 or 3, it is characterized in that, work as V t, R tor S tmultiplication phase while not existing, for the popular index of short-term, multiplication phase value is ∞; For long-term popular index, multiplication phase value is 0.
CN201210226080.3A 2012-07-02 2012-07-02 Data statistical method capable of reflecting book popularity variation Pending CN103530487A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104134108A (en) * 2014-06-25 2014-11-05 上海艾瑞市场咨询有限公司 Sales data analysis method of electronic commerce website
CN105447313A (en) * 2015-11-23 2016-03-30 成都云堆移动信息技术有限公司 Inorganic growth identification method for reading number of electronic document
CN107025525A (en) * 2017-04-19 2017-08-08 河南工程学院 A kind of library can lend the computational methods of books factor of influence
CN111898015A (en) * 2020-08-28 2020-11-06 深圳市欢太科技有限公司 Book heat value acquisition method and device, terminal device and storage medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104134108A (en) * 2014-06-25 2014-11-05 上海艾瑞市场咨询有限公司 Sales data analysis method of electronic commerce website
CN105447313A (en) * 2015-11-23 2016-03-30 成都云堆移动信息技术有限公司 Inorganic growth identification method for reading number of electronic document
CN107025525A (en) * 2017-04-19 2017-08-08 河南工程学院 A kind of library can lend the computational methods of books factor of influence
CN111898015A (en) * 2020-08-28 2020-11-06 深圳市欢太科技有限公司 Book heat value acquisition method and device, terminal device and storage medium

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Application publication date: 20140122