WO2015014260A1

WO2015014260A1 - Data processing method and server therefor

Info

Publication number: WO2015014260A1
Application number: PCT/CN2014/083174
Authority: WO
Inventors: Xueya ZHAO
Original assignee: Tencent Technology (Shenzhen) Company Limited
Priority date: 2013-07-29
Filing date: 2014-07-28
Publication date: 2015-02-05
Also published as: CN103366013B; CN103366013A

Abstract

The method relates to a data processing method comprising grading and categorizing, by a processor, software packages according to a representative word that is pre-recorded in the software package, firstly sorting software packages from different categories having a same grade according to a frequency of the representative word for the different categories, secondly sorting, by the processor, the sorted software packages having a same category according to a weight coefficient for the sorted software packages, and pushing the secondly sorted software packages to a user's terminal for displaying. The method provides a server that pushes results to a user's terminal after sorting the software packages by grade and category that may help the user quickly find the required software package. It may thus improve the efficiency of selecting a needed software package from a large number of software packages.

Description

DATA PROCESSING METHOD AND SERVER THEREFOR

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] The application claims priority to Chinese Patent Application No. 201310323837.5, filed on July 29, 2013, which is incorporated by reference in its entirety.

FIELD OF THE INVENTION

[0002] The present disclosure relates to data processing technologies, especially to data processing method and server therefor.

BACKGROUND OF THE INVENTION

[0003] With the development of internet, the number of software products keeps increasing. Using game software as an example, although there are already numerous games, plenty of new games are still published every day. It happens often that thousands of games belong to the same category. In this case, the keyword search always provides too many results.

[0004] As a consequence, existing search methods have a low efficiency when searching a needed piece of software from a massive amount of software data.

SUMMARY OF THE INVENTION

[0005] The embodiments and examples of the present disclosure provide a data processing method that improves the efficiency of selecting a required piece of software from a massive amount of software data. The embodiments and examples of the present disclosure also provide a corresponding server, a system and a product that is stored in a non-transitory computer readable medium.

[0006] In a first aspect, the present disclosure provides a data processing method comprising:

[0007] categorizing, by a processor, software packages according to a representative word that is pre-recorded in the software package and grading the software package ; firstly sorting, by the processor, software packages from different categories having a same grade according to a frequency of the representative word for the different categories; and secondly sorting, by the processor, the sorted software packages having a same category according to a weight coefficient for the sorted software packages, and pushing the secondly sorted software packages to a user's terminal for displaying.

[0008] In a first possible implementation of the method, according to the first aspect, the grading the software package comprises: making, by the processor, a grade-category label for the software package according to the representative word that is pre-recorded in the software package; and sorting, by the processor, the software packages from the different categories having the same grade according to a frequency of the grade-category label.

[0009] In a second possible implementation, according to the first aspect or the first possible implementation of the first aspect, before sorting the sorted software packages having the same category, the method further comprising calculating the weight coefficient according to a given formula.

[0010] In a third possible implementation, according to the first possible implementation of the first aspect, when the making the grade-category label comprises recording the frequency of the grade-category label for the same grade.

[0011] In a fourth possible implementation, according to the first or the third possible implementation of the first aspect, when the representative word for the different categories has the same frequency, the method further comprising: sorting the software packages of the different categories according to an order that is preset in a label library.

[0012] In a second aspect, the present disclosure provides a server comprising:

[0013] one or more processors coupled with a memory; a grading-categorizing unit having one or more processors coupled with the memory that is used for categorizing software packages according to a representative word that is pre-recorded in the software package and grading the software package; a first sorting unit having one or more processors coupled with the memory that is used for sorting software packages from different categories having a same grade according to a frequency of the representative word for the different categories after the grading-categorizing unit grades and categories the software package; a second sorting unit having one or more processors coupled with the memory that is used for sorting the sorted software packages having a same category according to a weight coefficient for the sorted software packages after the first sorting unit sorts the software packages; a pushing unit having one or more processors coupled with the memory that is used for pushing the sorted software packages to a user's terminal for displaying after the second sorting unit sorts the software packages.

[0014] In a first possible implementation of the server, according to the second aspect, the grading-categorizing unit is used for making a grade-category label for the software package according to the representative word that is pre-recorded in the software package; and the first sorting unit is used for sorting the software packages from the different categories having the same grade according to a frequency of the grade-category label.

[0015] In a second possible implementation, according to the second aspect or the first implementation of the second aspect, the server further comprises a calculating unit having one or more processors coupled with the memory that is used for calculating the weight coefficient according to a given formula.

[0016] In a third possible implementation of the server, according to the first possible implementation of the second aspect, the server also comprises a recording unit having one or more processors coupled with the memory that is used for recording the frequency of the grade-category label for the same grade.

[0017] In a fourth possible implementation of the server, according to the first or the third possible implementation of the second aspect, when the representative word for the different categories has the same frequency, wherein the first sorting unit is used for sorting the software packages of the different categories according to an order that is preset in a label library.

[0018] In a third aspect, the present disclosure provides a product comprising a non-transitory computer readable medium with processor executable instructions stored thereon, where the instructions when executed by one or more processors cause the one or more processors to: categorize software packages according to a representative word that is pre-recorded in the software package and grade the software package; firstly sort software packages from different categories having a same grade according to a frequency of the representative word for the different categories; secondly sort the sorted software packages having a same category according to a weight coefficient for the sorted software packages; and push the secondly sorted software packages to a user's terminal for displaying.

[0019] The embodiments and examples of the present disclosure grades and categorizes a software package according to a representative word that is pre-recorded in the software package; sorts software packages from different categories having a same grade according to a frequency of the representative word for the different categories; sorts the sorted software packages having a same category according to a weight coefficient for the sorted software packages; and pushes the sorted software packages to a user's terminal for displaying.

BRIEF DESCRIPTION OF THE DRAWINGS

[0020] To describe the technical solutions in the embodiments of the present disclosure more clearly, the following briefly introduces the accompanying drawings needed for describing the embodiments or the prior art. The accompanying drawings in the following description show some embodiments and examples of the present disclosure, and persons of ordinary skill in the art may still derive other drawings from these accompanying drawings without creative efforts.

[0021] The system and/or method may be better understood with reference to the following drawings and description. Non-limiting and non-exhaustive descriptions are described with reference to the following drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating principles. In the figures, like referenced numerals may refer to like parts throughout the different figures unless otherwise specified.

[0022] Fig. 1 is a schematic diagram of a data process method according to one example of the present disclosure.

[0023] Fig. 2 is a schematic diagram of a server according to one example of the present disclosure.

[0024] Fig. 3 is a schematic diagram of a server according to another example of the present disclosure.

[0025] Fig. 4 is a schematic diagram of a server according to another example of the present disclosure.

[0026] Fig. 5 is a schematic diagram of a server according to another example of the present disclosure.

[0027] Fig. 6 is a schematic diagram of a data processing system according to one example of the present disclosure.

DETAILED DESCRIPTION OF ILLUSTRATED EXAMPLES

[0028] The principles described herein may be embodied in many different forms. Not all of the depicted components may be required, however, and some implementations may include additional components. Variations in the arrangement and type of the components may be made without departing from the spirit or scope of the claims as set forth herein. Additional, different or fewer components may be provided.

[0029] Reference throughout this specification to "one example," "an example," "examples," "one embodiment," "an embodiment," "example embodiment," or the like in the singular or plural means that one or more particular features, structures, or characteristics described in connection with an embodiment or an example is included in at least one embodiment or one example of the present disclosure. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "in an example embodiment," "in one example," "in an example," or the like in the singular or plural in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0030] The terminology used in the description of the invention herein is for the purpose of describing particular examples only and is not intended to be limiting of the invention. As used in the description of the invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Also, as used in the description herein and throughout the claims that follow, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise. It will also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms "may include," "including," "comprises," and/or "comprising," when used in this specification, specify the presence of stated features, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, operations, elements, components, and/or groups thereof.

[0031] As used herein, the terms "module," "unit" may refer to, be part of, or include an Application Specific Integrated Circuit (ASIC); an electronic circuit; a combinational logic circuit; a field programmable gate array (FPGA); a processor (shared, dedicated, or group) that executes code; other suitable hardware components that provide the described functionality; or a combination of some or all of the above, such as in a system-on-chip. The term module may include memory (shared, dedicated, or group) that stores code executed by the processor.

[0032] The exemplary environment may include a server, a client, and a communication network. The server and the client may be coupled through the communication network for information exchange, such as sending/receiving identification information, sending/receiving data files such as splash screen images, etc. Although only one client and one server are shown in the environment, any number of terminals or servers may be included, and other devices may also be included. [0033] The communication network may include any appropriate type of communication network for providing network connections to the server and client or among multiple servers or clients. For example, communication network may include the Internet or other types of computer networks or telecommunication networks, either wired or wireless. In a certain embodiment, the disclosed methods and apparatus may be implemented, for example, in a wireless network that includes at least one client.

[0034] In some cases, the client may refer to any appropriate user terminal with certain computing capabilities, such as a personal computer (PC), a work station computer, a server computer, a hand-held computing device (tablet), a smart phone or mobile phone, or any other user-side computing device. In various embodiments, the client may include a network access device. The client may be stationary or mobile.

[0035] A server, as used herein, may refer to one or more server computers configured to provide certain server functionalities, such as database management and search engines. A server may also include one or more processors to execute computer programs in parallel.

[0036] It should be noticed that, the embodiments/examples and the features in the embodiments/examples may be combined with each other in a no conflict condition. This invention will become apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0037] It should be noticed that, the steps illustrated in the flowchart of the drawings may be performed in a set of computer device with executable program codes. And the order of the steps may be different from that in the drawings under some status, although a logic order is shown in the flowchart.

[0038] The embodiments and examples of the present disclosure provide a data processing method which may improve the efficiency of selecting a needed software package from a large number of software packages.

[0039] Compared with the low efficiency of prior arts when searching among a massive of software, the method provided by the embodiments/examples of the present disclosure, where a server pushes the sorted results to a user's terminals after sorting the software packages by grade and category, may help the user quickly find the required software package. It may thus improve the efficiency of selecting a needed software package from a large number of software packages.

[0040] The embodiments and examples of the present disclosure also provide a corresponding server and a product that is stored in a non-transitory computer readable medium. The details are described respectively in the following.

[0041] The technical solutions in the embodiments/examples of the present disclosure are described in the following with reference to the accompanying drawings in the embodiments/examples of the present disclosure. The embodiments/examples to be described are merely a part rather than all of the embodiments/examples of the present disclosure. All other embodiments/examples obtained by persons of ordinary skill in the art based on the embodiments/examples of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.

[0042] Referring to Fig. 1, according to one example of the present disclosure, the data processing method comprises the following steps. All steps are performed by executing instructions stored in memory 1-12 by one or more processors 1-10.

[0043] Step 101 : Grading and categorizing, by a processor, software packages according to a representative word that is pre-recorded in the software package.

[0044] A representative word may be written in the software package or the software introduction by a software developer when he develops the software. The representative word, like the name of software etc, will be written in the software package, and the representative word describing the software's characteristics, such as boxing, fist emperor, Chinese poker, poker, cards, etc will be written in the software introduction.

[0045] The step of grading and categorizing may be determined by comparing the representative word with the words pre-stored in a representative word library. Every word pre-stored in the representative word library is classified in advance, for example, the representative words boxing, fist emperor, and dragon fist belong to action game of grade 1.

[0046] Step 102: firstly sorting, by the processor, software packages from different categories having a same grade according to a frequency of the representative word for the different categories.

[0047] Grade 1 includes the categories of strategy and puzzle game, action game, chess and cards game, entertainment game, simulation game, racing game, role playing game, fighting and shooting game and so on. The processor sorts these categories according to the frequency of the representative words of software packages of each category.

[0048] Step 103: Secondly sorting, by the processor, the sorted software packages having a same category according to a weight coefficient for the sorted software packages, and pushing the secondly sorted software packages to a user's terminal for displaying.

[0049] The software packages of the same category that maybe firstly sorted in Step 102 may be secondly sorted according to their weight coefficients. Step 102 may firstly sort the software packages from the same grade while Step 103 may secondly sort the sorted software packages from Step 102 but from the same category. The software packages processed in Step 103 may or may be a subset of software packages processed in Step 102. The step of sorting in Step 103 may sort the portion or the whole set of sorted software packages that are sorted in Step 102.

[0050] The sorted results from Step 103 may be displayed as a list on the user's terminal, after the processor pushes the sorted results to the user. In this way, the user may select what he needs according to the rank of the software packages shown on the list.

[0051] The examples of the present disclosure grades and categorizes each software package according to a representative word pre-recorded in the one or more software package; firstly sorts the software packages of the same grade but different categories according to the frequency of representative words of different categories; secondly sorts the software packages of the same category according to their weight coefficient, and pushes the secondly sorted results to a user's terminal for display.

[0052] Comparing with the low efficiency of prior arts when searching among a massive of software, the method provided by the examples of the present disclosure, where a processor or a server pushes the sorted results to a user's terminals after sorting the software packages by grade and category, may help the user quickly find the required software package. The current method may thus improve the efficiency of selecting a needed software package from a large number of software packages.

[0053] Optionally, on the basis of the example of Fig. 1, in one example of data processing method of the present disclosure, grading and categorizing each software package according to a representative word pre-recorded in the software package comprise

[0054] making a grade-category label for each software package according to the presenting word pre-recorded in the software package;

[0055] accordingly, sorting the software packages of the same grade but different categories according to the frequency of representative words of different categories comprises

[0056] sorting the software packages of the same grade but different categories according to the frequency of grade-category labels. [0057] In the examples of the present disclosure, the server analyses the software package, and makes a grade-category label for the software package when the server finds the representative word recorded in the software package. For example, if the server finds the representative word boxing, it may make a label like grade 1 -action game for this software package. If the server finds the representative word poker, it may make a label like grade 1 -chess and cards game for this software package. By this way, the server may make grade-category labels for every software package. The grade-category label may have a plurality of grades, and each grade has a plurality of categories.

[0058] The server may sort the software package by the frequency of grade-category labels, for example, if the label grade 1 -chess and cards game occurs 15 times, and the label grade 1 -action game occurs 20 times, the software package corresponding to the label grade 1 -action game should be ranked higher than the software package corresponding to the label grade 1- chess and cards game.

[0059] Optionally, on the basis of the example of Fig. 1 or the optional example of Fig. 1, in another example of data processing method of the present disclosure, before said sorting the software packages of the same category according to their weight coefficients, the method further comprises

[0060] calculating a weight coefficient for each software package according to a given formula.

[0061] In the examples of the present disclosure, daily new downloads, total downloads and number of active gamer on a game day may be taken into consideration when calculating the weight coefficient.

[0062] For example, the formula is weight coefficient = daily number of people opening a game software * 30% + daily new downloads *60% + total downloads *10%.

[0063] Optionally, on the basis of the optional example of Fig. 1, in another example of data processing method of the present disclosure, when making a grade-category label for each software package, the method also comprises:

[0064] recording the frequency of grade-category labels of the same grade.

[0065] In the examples of the present, if a representative word occurs a plurality of times, the representative word only needs to record the frequency of the corresponding grade-category label. For example, if the label grade 1 -action game occurs 20 times, i.e. the frequency is 20, it doesn't need to make 20 labels for the representation word.

[0066] Optionally, on the basis of the example of Fig. 1 or the optional example of Fig. 1, in another example of data processing method of the present disclosure, when the representative words of different categories have the same frequency, the method also comprises:

[0067] sorting the software packages of different categories according to an order preset in a label library.

[0068] In the examples of the present disclosure, when both the label grade 1 -chess and cards game and the label grade 1 -action game occurs 20 times, the two labels may be ranked as the order preset in the a label library, for example, the label library preset the ranking to rank the label grade 1 -action game higher than the label grade 1 -chess and cards game.

[0069] Referring to Fig. 2, all units shown in Fig. 2 including grading and categorizing unit 201, first sorting unit 202, second sorting unit 203, pushing unit 204 are performed by processor 2-10 to execute instructions storing in memory 2-12. According to of one example of the present disclosure in Fig. 2, the server comprises:

[0070] a grading-categorizing unit 201 having one or more processors coupled with the memory that is used for grading and categorizing software packages according to a representative word that is pre-recorded in the software package;

[0071] a first sorting unit 202 having one or more processors coupled with the memory that is used for sorting software packages from different categories having a same grade according to a frequency of the representative word for the different categories after the grading-categorizing unit 201 grades and categories the software package;

[0072] a second sorting unit 203 having one or more processors coupled with the memory that is used for sorting the sorted software packages having a same category according to a weight coefficient for the sorted software packages after the first sorting unit sorts the software packages; and

[0073] a pushing unit 204 having one or more processors coupled with the memory that is used for pushing the sorted software packages to a user's terminal for displaying after the second sorting unit 203 sorts the software packages.

[0074] In the examples of the present disclosure, a grading-categorizing unit 201 grades and categorizes each software package according to a representative word pre-recorded in the software package; a first sorting unit 202 sorts the software packages of the same grade but different categories according to the frequency of representative words of different categories, after the grading-categorizing unit 201 classifies the software packages; a second sorting unit 203 sorts the software packages of the same category according to their weight coefficients after the first sorting unit 202 sorts the software packages; a pushing unit 204 pushes the sorted results to a user's terminals for display after the second sorting unit 203 sorts the software package according to their weight coefficients.

[0075] Comparing with the low efficiency of prior art when searching among a massive of software, the method provided by the examples of the present disclosure, where a server pushes the sorted results to a user's terminals after sorting the software packages by the grade and category, may help the user quickly find the required software package. It may thus improve the efficiency of selecting a needed software package from a large number of software packages.

[0076] Optionally, on the basis of the example of Fig. 2, in another example of the server of present disclosure, the grading-categorizing unit 201 is used for making a grade-category label for each software package according to the presenting word prerecorded in the software package, and the first sorting unit 202 is used for sorting the software packages of the same grade but different categories according to the frequency of the grade-category labels.

[0077] Optionally, on the basis of the example of Fig. 2, referring to Fig. 3, in another example of the server of present disclosure, the server 20 further comprises:

[0078] A calculating unit 205 having one or more processors coupled with the memory that is used for calculating the weight coefficient according to a given formula. Specifically, the calculation unit 205 is performed by the processor 3-10 to execute instructions stored in memory 3-12.

[0079] Optionally, on the basis of the example of Fig. 2, referring to Fig.4, in another example of the server of present disclosure, the server 20 further comprises:

[0080] A recording unit 206 having one or more processors coupled with the memory that is used for recording the frequency of the grade-category label for the same grade. The recording unit 206 may be performed by the processor 4-10 to execute instructions stored in memory 4-12.

[0081] Optionally, on the basis of the example of Fig. 2 or Fig. 4, in another example of the server of present disclosure, when the representative words of different categories have the same frequency,

[0082] The first sorting unit 202 is also used for sorting the software packages of different categories according to an order preset in a label library.

[0083] The examples of the present disclosure also provide a computer readable storage medium having programs stored therein, and executing the programs may perform part or all of the method described above. The computer readable medium may be non-transitory and form a product have instructions stored therein and to be executed by one or more processors.

[0084] Fig. 5 is a schematic diagram of the structure of a server 20 according to one example of the present disclosure. The server 20 may comprise an input device 210, an output device 220, a processor 230 and storage 240 which may be any computer readable medium including either transitory or non-transitory computer readable medium.

[0085] The storage 240 may comprise only the read-only memory and random access memory, and provide instructions and data to the processor 230. Part of the storage 240 may include non-volatile random access memory (NVRAM).

[0086] The storage 240 stores the following elements, executable module or data structure, or subsets thereof, or expansion sets thereof:

[0087] operating instructions, including all kinds of operating instructions for all kinds of operations; and

[0088] operating system, including all kinds of operating systems for all kinds of basic tasks and hardware-based tasks.

[0089] In the examples of the present application, the processor 230 performs the following operations by executing the operating instructions stored in the storage 240 (the operating instructions may be stored in the operating system):

[0090] Grading and categorizing, by a processor, software packages according to a representative word that is pre-recorded in the software package; firstly sorting, by the processor, software packages from different categories having a same grade according to a frequency of the representative word for the different categories; secondly sorting, by the processor, the sorted software packages having a same category according to a weight coefficient for the sorted software packages, and pushing the secondly sorted software packages to a user's terminal for displaying through the output unit 220.

[0091] The processor 230 which may be a CPU (Central Processing Unit) controls the operations of server 20. The storage 240 may include only the read-only memory and random access memory, and provide instructions and data to the processor 230. Part of the storage 240 may include non-volatile random access memory (NVRAM). In practical applications, all the components of server 20 may be connected by a bus system 250. Besides data bus, the bus system 250 also includes power bus, control bus, and state signal bus etc. However, for clarity, all kinds of buses are marked as bus system 250 in the Figures disclosed in the present disclosure.

[0092] The method described above may be applied to the processor 230, or realized by the processor 230. Processor 230 may be an IC chip with signal processing capabilities. In practical applications, the steps of the method described above may be performed by the processor 230's hardware such as an integrated logic circuit or the software such as instructions. The processor 230 may be general purpose processor, digital signal processor (DSP), application specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor, discrete hardware component that may implement or execute the methods, steps and logic diagram provided by the examples of present disclosure.

[0093] The general purpose processor may be a microprocessor, or any other conventional processor, etc. The steps of the method of present disclosure may be accomplished by hardware processor directly or by a combination of hardware module and software module in a decoding processor. The software module may be in the random access memory, flash, read-only memory, programmable read-only memory or electrically erasable programmable read-only memory, register and other storage medium applied in the art. The storage medium is in storage 240, processor 230 reads data from the storage 240, and performs the method with relevant hardware.

[0094] Optionally, the processor 230 may calculate the weight coefficient of a software package according to a given formula.

[0095] For example, the formula is weight coefficient = daily number of people opening a game software * 30% + daily new downloads *60% + total downloads * 10%. The formula here is merely an example. In practice, the percentages may vary, and the coefficient may have additional factors other than daily number of people opening a game software, daily new downloads and total downloads. Any factors, either known now or later developed, that may be used for evaluating a software package are considered part of the scope of the present disclosure.

[0096] Optionally, the processor 230 may record the frequency of the grade-category labels of the same grade.

[0097] Optionally, the processor 230 sorts the software packages of different categories according to an order preset in a label library when the representative words of different categories have the same frequency.

[0098] Referring to Fig. 6, in one example of present disclosure, the data processing system comprises a server 20 and at least a user's terminal 30. [0099] The server 20 is used for grading and categorizing each software package according to a representative word pre-recorded in the software package; sorting the software packages of the same grade but different categories according to the frequency of representative words of different categories; sorting the software packages of the same category according to their weight coefficients, and pushing the sorted results to a user's terminals 30 for displaying.

[00100] Persons of ordinary skill in the art may understand that all or part of the steps of the foregoing examples may be implemented by a program instructing relevant hardware. The foregoing program may be stored in a computer readable storage medium, either transitory or non-transitory. When the program is run, the steps of the foregoing method examples are performed. The foregoing storage medium may be any medium capable of storing program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

The foregoing descriptions are merely specific examples of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by persons skilled in the art within the technical scope disclosed in the present disclosure shall all fall within the protection scope of the present disclosure.

Claims

WHAT IS CLAIMED IS:

1. A data processing method comprising

categorizing, by a processor, software packages according to a representative word that is pre-recorded in the software package, and grading the software package;

firstly sorting, by the processor, a plurality of software packages from different categories having a same grade according to a frequency of the representative word for the different categories; and

secondly sorting, by the processor, the sorted software packages of the same category according to a weight coefficient for the sorted software packages; and

pushing the secondly sorted software packages to a user's terminal for display.

2. The method as claimed in claim 1, wherein the grading the software package comprises:

making, by the processor, a grade-category label for the software package according to the representative word that is pre-recorded in the software package; and

sorting, by the processor, the software packages from the different categories having the same grade according to a frequency of the grade-category label.

3. The method as claimed in claim 1 or claim 2, before sorting the sorted software packages having the same category, the method further comprising

calculating the weight coefficient according to a given formula.

4. The method as claimed in claim 2, wherein the making the grade-category label comprises

recording the frequency of the grade-category label for the same grade.

5. The method as claimed in claim 2 or claim 4, when the representative word for the different categories has the same frequency, the method further comprising:

sorting the software packages of the different categories according to an order that is preset in a label library.

6. A server, comprises:

one or more processors coupled with a memory;

a grading-categorizing unit having one or more processors coupled with the memory that is used for categorizing software packages according to a representative word that is pre-recorded in the software package and grading the software package;

a first sorting unit having one or more processors coupled with the memory that is used for sorting software packages from different categories having a same grade according to a frequency of the representative word for the different categories after the grading-categorizing unit grades and categories the software package;

a second sorting unit having one or more processors coupled with the memory that is used for sorting the sorted software packages having a same category according to a weight coefficient for the sorted software packages after the first sorting unit sorts the software packages;

a pushing unit having one or more processors coupled with the memory that is used for pushing the sorted software packages to a user's terminal for displaying after the second sorting unit sorts the software packages.

7. The server as claimed in claim 6,

wherein the grading-categorizing unit is used for making a grade-category label for the software package according to the representative word that is pre-recorded in the software package; and

wherein the first sorting unit is used for sorting the software packages from the different categories having the same grade according to a frequency of the grade-category label.

8. The server as claimed in claim 6 or claim 7, the server further comprising:

a calculating unit having one or more processors coupled with the memory that is used for calculating the weight coefficient according to a given formula.

9. The server as claimed in claim 7, the server further comprising:

a recording unit having one or more processors coupled with the memory that is used for recording the frequency of the grade-category label for the same grade.

10. The server as claimed in claim 7 or claim 9, when the representative word for the different categories has the same frequency, wherein the first sorting unit is used for sorting the software packages of the different categories according to an order that is preset in a label library.

11. A product, comprising:

a non-transitory computer readable medium with processor executable instructions stored thereon, wherein the instructions when executed by one or more processors cause the one or more processors to:

categorize software packages according to a representative word that is pre-recorded in the software package and grade the software package;

firstly sort software packages from different categories having a same grade according to a frequency of the representative word for the different categories; secondly sort the sorted software packages having a same category according to a weight coefficient for the sorted software packages; and

push the secondly sorted software packages to a user's terminal for displaying.

12. The product of claim 11, wherein the instructions to grade the software package when executed by the one or more processors further cause the one or more processors to:

make a grade-category label for the software package according to the representative word that is pre-recorded in the software package; and

sort the software packages from the different categories having the same grade according to a frequency of the grade-category label.

13. The product of claim 11 or claim 12, before the instructions to be executed to sort the sorted software packages, further comprising instructions when executed by the one or more processors cause the one or more processors to:

calculate the weight coefficient according to a given formula.

14. The product of claim 12, wherein the instructions to make the

grade-category label comprises instructions to be executed by the one or more processors to:

record the frequency of the grade-category label for the same grade.

15. The product of claim 12 or claim 14, when the representative word for the different categories has the same frequency, further comprising instructions to be executed by the one or more processors to:

sort the software packages of the different categories according to an order that is preset in a label library.