CN111729301A - Method and device for recommending props in breakthrough game and game terminal - Google Patents

Method and device for recommending props in breakthrough game and game terminal Download PDF

Info

Publication number
CN111729301A
CN111729301A CN202010540735.9A CN202010540735A CN111729301A CN 111729301 A CN111729301 A CN 111729301A CN 202010540735 A CN202010540735 A CN 202010540735A CN 111729301 A CN111729301 A CN 111729301A
Authority
CN
China
Prior art keywords
game
data
player
clearance
breakthrough
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010540735.9A
Other languages
Chinese (zh)
Other versions
CN111729301B (en
Inventor
高运
王恺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing ELEX Technology Co Ltd
Original Assignee
Beijing ELEX Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing ELEX Technology Co Ltd filed Critical Beijing ELEX Technology Co Ltd
Priority to CN202010540735.9A priority Critical patent/CN111729301B/en
Priority claimed from CN202010540735.9A external-priority patent/CN111729301B/en
Publication of CN111729301A publication Critical patent/CN111729301A/en
Application granted granted Critical
Publication of CN111729301B publication Critical patent/CN111729301B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/45Controlling the progress of the video game
    • A63F13/47Controlling the progress of the video game involving branching, e.g. choosing one of several possible scenarios at a given point in time
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70Game security or game management aspects
    • A63F13/79Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/53Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers details of basic data processing
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/55Details of game data or player data management

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Business, Economics & Management (AREA)
  • Computer Security & Cryptography (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention belongs to the technical field of mobile phone games, and discloses a method and a device for recommending props in a breakthrough game and a game terminal, wherein the method comprises the following steps: responding to a first player to execute a breakthrough request of a game stage; obtaining clearance data of N second players for clearance of the game clearance; identifying ranking data for the first player and generating a first optimized screening threshold based thereon; performing optimized screening on the clearance data based on the first optimized screening threshold value to obtain optimized screening data of the clearance data; recommending game items to the first player based on the optimized screening data; in summary, based on the invention, the player can know the game item possibly needed when the player passes the current game stage before the player performs the breakthrough, thereby increasing the probability that the player purchases the required game item before the breakthrough, and further achieving the effects of promoting game consumption, reducing the number of breakthrough times, improving the breakthrough efficiency and improving the game experience.

Description

Method and device for recommending props in breakthrough game and game terminal
Technical Field
The invention belongs to the technical field of mobile phone games, and particularly relates to a method and a device for recommending props in a breakthrough game and a game terminal.
Background
With the rapid development of mobile electronic devices, more and more applications can be installed and run on the mobile electronic devices. Among them, the mobile game is one of the important ways of entertainment in people's life at various stages by virtue of its dazzling animation effect and excellent game experience.
In the existing mobile phone games, the breakthrough type games are very common game types; in the existing breakthrough game, in order to improve the clearance probability of the player during breakthrough and the game revenues of the game application trader, game props capable of assisting the player in clearance are provided in the game, the game props are concentrated in a game mall, and when the player needs to purchase the game props, the player can find the corresponding game props in the game mall.
However, in the breakthrough game, when the player executes different gates or tasks, the required game props are different, and the purchasing operation of the game props is generally executed before starting breakthrough, so that for the player, the player can hardly accurately purchase the corresponding props before starting breakthrough, and the probability of one-time breakthrough of the player is greatly reduced.
In summary, it is known how to accurately recommend props to players before starting a breakthrough to improve game experience, which is a problem to be solved urgently.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for recommending props in a breakthrough game, and a game terminal, so as to effectively solve the problems in the background art, thereby achieving the effects of increasing the probability of breakthrough and improving the game experience.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for recommending props in a pass-through game relates to a game terminal provided with a target pass-through game, wherein in the target pass-through game: the recommendation method is applied to the game terminal and comprises the following steps:
responding to a first player to execute a breakthrough request of a game stage;
obtaining clearance data of N second players for clearance of the game clearance;
identifying ranking data for the first player and generating a first optimized screening threshold based thereon;
performing optimized screening on the clearance data based on the first optimized screening threshold value to obtain optimized screening data of the clearance data;
recommending game items to the first player based on the optimized screening data;
wherein:
the clearance data comprises grade data of N second players, the number of pass-through times in the clearance process and game prop data used in the clearance process;
the optimized screening data comprises grade data of (N-M) second players, pass-through times in the pass-through process and game prop data used in the pass-through process, which are optimized and screened based on the optimized screening threshold;
and both N and M are integers of 0 … … N.
Preferably, the optimized screening threshold is a grade threshold, and the grade threshold includes a highest grade threshold and a lowest grade threshold; wherein:
the first player's rank is (highest rank threshold + lowest rank threshold)/2.
Further, when the optimized screening threshold value is used for performing optimized screening on the clearance data: the level of any second player in the optimized screening data is not lower than the lowest level threshold; none of the second players in the optimized screening data are ranked above the highest ranking threshold.
Preferably, the recommending game items to the first player includes: obtaining game prop data used when (N-M) second players in the optimized screening data are passed; identifying the use times of each game item in the (N-M) game item data, and performing optimized sequencing on the game items based on the use times of the game items; recommending at least one of said play objects to said first player based on said preferred ranking.
Further, when recommending game items to the first player, the method further includes: constructing the sequencing weight of each game prop in the optimized screening data; and the ranking weight is positively correlated with the preferred ranking.
Further, when constructing the ranking weight of the game item:Pt=(W1+……+Wn) N; wherein t is any game prop in the optimized screening data, P is the sequencing weight of the game prop t, n is the number of times of using the game prop t in the optimized screening data, and W is1+……+WnIs the sum of n base weights for n uses of game item t.
Further, the basic weight is constructed based on the number of pass-through times of any second player in the pass-through process in the optimized screening data, and the basic weight is inversely related to the number of pass-through times.
Specifically, when the basis weight is constructed: wx=Q*S(V-1)(ii) a Wherein x is any second player in the optimized screening data, W is the basic weight of the game prop used by the second player x during clearance, V is the clearance frequency of the second player x in the optimized screening data, and S is a negative correlation calculation reference value.
Compared with the prior art, the invention has the following beneficial effects:
in the invention, when a current player requests to execute the breakthrough of a certain game level, the preferred recommendation can be carried out based on the game props used by the historical breakthrough players, so that the current player can know the game props possibly needed when the current game level is cleared before the breakthrough is executed, the probability of purchasing the needed game props by the current player before the breakthrough is executed can be effectively improved, and the effects of promoting game consumption, reducing the number of breakthrough times, improving the breakthrough efficiency and improving the game experience are further achieved.
When the preferred recommendation is performed on the game props used by the historical clearance players, the historical clearance players are screened based on the grades of the current players, so that when the game props are recommended finally, the recommended game props are used by the clearance players with the grades close to the grades of the current players, the accuracy of the recommendation of the game props is further provided, and the recommended game props can be effectively applied to the current game level.
In addition, when the optimal recommendation of the game item is carried out, negative-correlation weight setting is carried out based on the number of pass-through times of the pass-through player, so that the probability that the current player can pass through the current game stage at one time after purchasing and using the recommended game item is improved, and the game experience is further improved.
In order to achieve the above purpose, the invention also provides the following technical scheme:
a recommendation device for props in a breakthrough game, comprising:
the response and acquisition module responds to a breakthrough request of a first player for executing a game level and acquires the clearance data of N second players for clearance of the game level;
an identification module to identify rating data for the first player;
the threshold generating module is used for generating a first optimized screening threshold according to the identification result of the identification module;
the optimized screening module is used for performing optimized screening on the clearance data according to the first optimized screening threshold value to obtain optimized screening data;
and the optimization recommending module recommends game props to the first player according to the optimization screening data.
A gaming terminal comprising a memory and a processor; the storage is stored with at least one executable code; the at least one executable code is loaded and executed by the processor, and when the at least one executable code is loaded and executed, the at least one executable code realizes the recommendation method of the prop disclosed above.
Drawings
FIG. 1 is a flow chart of a method for recommending props provided by the present invention;
FIG. 2 is a block diagram of a device for recommending props provided by the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method for recommending props in a gateway violation game, and particularly relates to a game terminal provided with and running the gateway violation game when the method is realized, wherein the game terminal can be formed by intelligent mobile terminals such as a mobile phone and an IPAD (Internet protocol ad);
when the gateway-violation game is run, the corresponding target gateway-violation game at least comprises a game stage which can be executed by a player and at least comprises a game prop which can act on the game stage.
In the present invention, the following embodiments are provided to explain in detail a method of recommending a prop in a breakthrough game.
Furthermore, the terms "first," "second," "third," "fourth," and the like in the description, in the claims, and in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In this embodiment, a method for recommending items in a breakthrough game is executed by the game terminal.
Specifically, please refer to fig. 1, which is a flowchart illustrating a method for recommending items in a breakthrough game disclosed in this embodiment, and as can be seen from the diagram, the method specifically includes the following steps:
s1, responding to a breakthrough request of a first player for executing a game barrier;
specifically, in this embodiment, the specific form of the violation request is not limited. As will be readily explained, the following examples are presented herein, but are not limited to:
for example, when the first player completes clearance of the previous game stage, it may be considered as making a breakthrough request for executing the next game stage.
For example, a first player, upon entering a game gate of a game level, may be considered to make a breakthrough request to execute the game level.
In this embodiment, the breakthrough of the game level a is performed as an example; as described above, the first player may be any player who is not passing the clearance game stage a in the breakthrough game; specifically, the following description will be made with one of the first players as a main perspective.
S2, acquiring clearance data of N second players of the clearance game clearance;
specifically, in this embodiment, the N second players refer to all players who have passed the game level a, such as player a, player b, player c, player d, player e, and player f;
specifically, in this embodiment, the clearance data includes level data of the N second players, the number of breakthrough times in the clearance process, and game item data used in clearance. Wherein: the number of the pass-through times comprises one pass-through during pass-through, and the game property data used during pass-through is the game property used during the last pass-through.
Specifically, in the present embodiment, the following data is set for the player of the aforementioned customs game level a: player a: the grade is 20 grade, the number of pass-through times is 5, and the game prop used in the pass-through is prop one; player b: the level is 23, the number of pass-through times is 2, and the game prop used in the pass-through is prop one; player c: the level is 22, the number of pass-through times is 3, and the game prop used in the pass-through is prop two; player d: the grade is 25 grade, the number of pass-through times is 1, and the game props used during pass-through are props III; player e: the level is 21, the number of pass-through times is 3, and the game props used during pass-through are props III; player f: the grade is 24 grade, the number of pass-through times is 1, and the game props used in the pass-through are props III.
S3, identifying the grade data of the first player, and generating a first optimized screening threshold value based on the grade data;
specifically, in this embodiment, the optimized screening threshold is preferably a level threshold, and the level threshold includes a highest level threshold and a lowest level threshold; wherein:
the first player's rank is (highest rank threshold + lowest rank threshold)/2.
Therefore, when the first optimization screening threshold is used for limiting the recommendation of the game props, the upper limit and the lower limit of the reference grade of the N second players are not limited in the embodiment, and the upper limit and the lower limit of the grade threshold can be specifically set according to the requirements in actual application.
As will be readily explained, the following examples are presented herein, but are not limited to: for example, the first player is set to a rating of 22, and the upper and lower limits are both 2, so that it can be seen that the lowest rating threshold should be 20, and the highest rating threshold should be 24.
S4, carrying out optimized screening on the clearance data based on the first optimized screening threshold value to obtain optimized screening data of the clearance data;
specifically, the optimization screening is performed based on the first optimization screening threshold with the lowest level threshold of 20 levels and the highest level threshold of 24 levels, and the following optimization screening data are obtained:
player a: the grade is 20 grade, the number of pass-through times is 5, and the game prop used in the pass-through is prop one;
player b: the level is 23, the number of pass-through times is 2, and the game prop used in the pass-through is prop one;
player c: the level is 22, the number of pass-through times is 3, and the game prop used in the pass-through is prop two;
player e: the level is 21, the number of pass-through times is 3, and the game props used during pass-through are props III;
player f: the grade is 24 grade, the number of pass-through times is 1, and the game props used in the pass-through are props III.
S5, recommending game properties to the first player based on the optimized screening data;
specifically, in this embodiment, when recommending a game item to a first player, the game item should be optimally sorted according to the number of times of use of each game item in the above optimized screening data, that is, the following game item sorts are obtained:
(1) the prop I and the prop III;
(2) and a prop II.
Therefore, in the embodiment, if only one game item is recommended to the first player, one item or three items are recommended; and if the number of the required recommendations exceeds one, sequentially recommending according to the optimized sequence.
In summary, in the embodiment, not only is optimized and recommended according to the number of times of use of the property, but also the definition is performed based on the player level, so that the finally recommended game channel can be effectively applied to the use of the first player in the game level a.
Example 2
This embodiment is a further preferred embodiment of embodiment 1, the overall process and principle are the same as those of embodiment 1, and the difference is that: in this embodiment, based on the difference of the number of pass-through times of the corresponding player when passing through the game stage a, the weight of the corresponding game stage is set, so that the probability that the first player can pass through the current game stage at one time after purchasing and using the recommended game stage is improved, and the problem of the optimized sorting when the two stages are used for the same number of times in embodiment 1 is solved.
In this embodiment, the construction of the basic weight is firstly included, and the basic weight is constructed based on the number of pass-through times of any second player in the pass-through process in the optimized screening data, and the basic weight is negatively related to the number of pass-through times. Specifically, in this embodiment, the following data model is constructed:
Wx=Q*S(V-1)
wherein: x is any second player in the optimized screening data, WxFor use by a second player x in clearanceAnd Q is a basic value calculated by the basic weight, V is the pass-through times of the second player x in the optimized screening data, and S is a negative correlation calculation reference value.
For example, setting Q to 100 and S to 0.9, and taking the optimized screening data screened in the above example 1 as an example, the following basic weight data are obtained:
player a: wx(a)=Q*S(V-1)=100*0.9(5-1)65.61; the corresponding relation is prop one;
player b: wx(b)=Q*S(V-1)=100*0.9(2-1)90; the corresponding relation is prop one;
player c: wx(c)=Q*S(V-1)=100*0.9(3-1)81; the corresponding relation is prop two;
player e: wx(e)=Q*S(V-1)=100*0.9(3-1)81; the third prop is corresponded;
player f: wx(f)=Q*S(V-1)=100*0.9(1-1)100; the third prop is corresponded.
Specifically, in this embodiment, the method further includes constructing the ranking weight:
Pt=(W1+……+Wn)/n;
wherein t is any game prop in the optimized screening data, P is the sequencing weight of the game prop t, n is the using times of the game prop t in the optimized screening data, and W is1+……+WnIs the sum of n basic weights of game item t in n uses;
specifically, the ranking weight refers to the overall weight of the game item. In summary, the following game property ranking weight data are obtained after calculation:
the prop is as follows: pt(1)=(W1+……+Wn)/n=(65.61+90)/2=77.805;
And (2) prop II: pt(2)=(W1+……+Wn)/n=(81)/1=81;
The prop is III: pt(3)=(W1+……+Wn)/n=(81+100)/2=90.5。
Specifically, the ranking weight is positively correlated with the preferred ranking described in embodiment 1, that is, the higher the ranking weight is, the earlier the ranking of the corresponding game item should be, so as to obtain the final preferred ranking in this embodiment as follows:
(1) a prop III;
(2) a prop I;
(3) and a prop II.
Therefore, in this embodiment, if only one game item is recommended to the first player, an item one is recommended; and if the number of the required recommendations exceeds one, sequentially recommending according to the optimized sequence.
While various steps have been illustrated and described as sequential processes, many of the steps may be performed in the alternative, in parallel, concurrently or in parallel. In addition, the order of the steps may be rearranged. Also, the process may be terminated when its operations are completed, but may have additional steps not included in the drawing. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.
Example 3
The embodiment of the present invention further provides a device for recommending props in a breakthrough game, and referring to fig. 2, which is a block diagram of the structure of the recommending device, it can be seen from the figure that the recommending device includes:
the response and acquisition module 10 is used for responding to a breakthrough request of a first player for executing a game level and acquiring the clearance data of N second players for clearance of the game level;
an identification module 20 for identifying rating data of a first player;
a threshold generating module 30 for generating a first optimized screening threshold according to the recognition result of the recognition module 20;
the optimized screening module 40 is used for performing optimized screening on the clearance data according to the first optimized screening threshold value to obtain optimized screening data;
and the optimization recommending module 50 recommends the game props to the first player according to the optimization screening data
In this embodiment, the recommendation device executes the recommendation method disclosed in embodiment 1 or embodiment 2 when executing the recommendation of the game item.
Example 4
The embodiment of the invention also provides a game terminal which specifically comprises a storage and a processor; the storage is stored with at least one executable code; at least one executable code is loaded and executed by the processor, and when loaded and executed, the at least one executable code implements the recommendation method disclosed in embodiment 1 or embodiment 2 above.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A method for recommending props in a breakthrough game is characterized by relating to a game terminal provided with a target breakthrough game, wherein in the target breakthrough game: the recommendation method is applied to the game terminal and comprises the following steps:
responding to a first player to execute a breakthrough request of a game stage;
obtaining clearance data of N second players for clearance of the game clearance;
identifying ranking data for the first player and generating a first optimized screening threshold based thereon;
performing optimized screening on the clearance data based on the first optimized screening threshold value to obtain optimized screening data of the clearance data;
recommending game items to the first player based on the optimized screening data;
wherein:
the clearance data comprises grade data of N second players, the number of pass-through times in the clearance process and game prop data used in the clearance process;
the optimized screening data comprises grade data of (N-M) second players, pass-through times in the pass-through process and game prop data used in the pass-through process, which are optimized and screened based on the optimized screening threshold;
and both N and M are integers of 0 … … N.
2. The method as claimed in claim 1, wherein the optimized screening threshold is a level threshold, and the level threshold comprises a highest level threshold and a lowest level threshold; wherein:
the first player's rank is (highest rank threshold + lowest rank threshold)/2.
3. The method for recommending items in a breakthrough game according to claim 2, wherein when the optimal screening threshold value is used for performing optimal screening on the clearance data:
the level of any second player in the optimized screening data is not lower than the lowest level threshold;
none of the second players in the optimized screening data are ranked above the highest ranking threshold.
4. The method as claimed in claim 1, wherein the step of recommending game items to the first player comprises:
obtaining game prop data used when (N-M) second players in the optimized screening data are passed;
identifying the use times of each game item in the (N-M) game item data, and performing optimized sequencing on the game items based on the use times of the game items;
recommending at least one of said play objects to said first player based on said preferred ranking.
5. The method as claimed in claim 4, wherein when recommending game items to the first player, further comprising:
constructing the sequencing weight of each game prop in the optimized screening data; and the ranking weight is positively correlated with the preferred ranking.
6. The method for recommending items in a breakthrough game according to claim 5, wherein when the ranking weight of the game items is constructed:
Pt=(W1+……+Wn) N; wherein t is any game prop in the optimized screening data, P is the sequencing weight of the game prop t, n is the number of times of using the game prop t in the optimized screening data, and W is1+……+WnIs the sum of n base weights for n uses of game item t.
7. The method as claimed in claim 6, wherein the basic weight is constructed based on the number of pass-through times of any second player in the optimized screening data in the pass-through process, and the basic weight is inversely related to the number of pass-through times.
8. The method as claimed in claim 7, wherein the basic weight is constructed by:
Wx=Q*S(V-1)(ii) a Wherein x is any second player in the optimized screening data, W is the basic weight of the game prop used by the second player x during clearance, V is the clearance frequency of the second player x in the optimized screening data, and S is a negative correlation calculation reference value.
9. A recommendation device for props in a breakthrough game is characterized by comprising:
the response and acquisition module responds to a breakthrough request of a first player for executing a game level and acquires the clearance data of N second players for clearance of the game level;
an identification module to identify rating data for the first player;
the threshold generating module is used for generating a first optimized screening threshold according to the identification result of the identification module;
the optimized screening module is used for performing optimized screening on the clearance data according to the first optimized screening threshold value to obtain optimized screening data;
and the optimization recommending module recommends game props to the first player according to the optimization screening data.
10. A gaming terminal comprising a memory and a processor;
the storage is stored with at least one executable code; the at least one executable code is loaded and executed by a processor, and when loaded and executed, implements the recommendation method of any of claims 1-8.
CN202010540735.9A 2020-06-15 Method and device for recommending props in rushing game and game terminal Active CN111729301B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010540735.9A CN111729301B (en) 2020-06-15 Method and device for recommending props in rushing game and game terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010540735.9A CN111729301B (en) 2020-06-15 Method and device for recommending props in rushing game and game terminal

Publications (2)

Publication Number Publication Date
CN111729301A true CN111729301A (en) 2020-10-02
CN111729301B CN111729301B (en) 2024-07-05

Family

ID=

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116863606A (en) * 2023-08-09 2023-10-10 广州华立科技股份有限公司 Card machine game system
JP7445210B2 (en) 2020-12-11 2024-03-07 テンセント・テクノロジー・(シェンジェン)・カンパニー・リミテッド Methods, apparatus, devices, media and computer programs for displaying pre-order items

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140015688A (en) * 2012-07-10 2014-02-07 주식회사 네오위즈인터넷 Method of providing game, server performing the same and storage media storing the same
CN105447126A (en) * 2015-11-17 2016-03-30 苏州蜗牛数字科技股份有限公司 Game prop personalized recommendation method
CN106075912A (en) * 2016-06-07 2016-11-09 维沃移动通信有限公司 A kind of method that online game is helped each other and network game system
CN106201877A (en) * 2016-07-08 2016-12-07 福州市鼓楼区森林创数文化传播有限公司 A kind of method of testing of FPS game item
CN106779933A (en) * 2016-12-06 2017-05-31 腾讯科技(深圳)有限公司 A kind of virtual item recommends method and client
CN106815302A (en) * 2016-12-13 2017-06-09 华中科技大学 A kind of Mining Frequent Itemsets for being applied to game item recommendation
CN108090561A (en) * 2017-11-09 2018-05-29 腾讯科技(成都)有限公司 Storage medium, electronic device, the execution method and apparatus of game operation
CN108459811A (en) * 2018-01-09 2018-08-28 网易(杭州)网络有限公司 Processing method, device, electronic equipment and the storage medium of virtual item
WO2019009274A1 (en) * 2017-07-07 2019-01-10 株式会社コナミアミューズメント Game device and program of game device
CN109999504A (en) * 2019-04-22 2019-07-12 腾讯科技(上海)有限公司 A kind of game item recommended method, device, server and storage medium
CN111061949A (en) * 2019-12-03 2020-04-24 深圳市其乐游戏科技有限公司 Prop recommendation method, recommendation device and computer-readable storage medium
CN111084987A (en) * 2019-11-19 2020-05-01 深圳市其乐游戏科技有限公司 Game item recommendation method and device and computer-readable storage medium

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140015688A (en) * 2012-07-10 2014-02-07 주식회사 네오위즈인터넷 Method of providing game, server performing the same and storage media storing the same
CN105447126A (en) * 2015-11-17 2016-03-30 苏州蜗牛数字科技股份有限公司 Game prop personalized recommendation method
CN106075912A (en) * 2016-06-07 2016-11-09 维沃移动通信有限公司 A kind of method that online game is helped each other and network game system
CN106201877A (en) * 2016-07-08 2016-12-07 福州市鼓楼区森林创数文化传播有限公司 A kind of method of testing of FPS game item
CN106779933A (en) * 2016-12-06 2017-05-31 腾讯科技(深圳)有限公司 A kind of virtual item recommends method and client
CN106815302A (en) * 2016-12-13 2017-06-09 华中科技大学 A kind of Mining Frequent Itemsets for being applied to game item recommendation
WO2019009274A1 (en) * 2017-07-07 2019-01-10 株式会社コナミアミューズメント Game device and program of game device
CN108090561A (en) * 2017-11-09 2018-05-29 腾讯科技(成都)有限公司 Storage medium, electronic device, the execution method and apparatus of game operation
CN108459811A (en) * 2018-01-09 2018-08-28 网易(杭州)网络有限公司 Processing method, device, electronic equipment and the storage medium of virtual item
CN109999504A (en) * 2019-04-22 2019-07-12 腾讯科技(上海)有限公司 A kind of game item recommended method, device, server and storage medium
CN111084987A (en) * 2019-11-19 2020-05-01 深圳市其乐游戏科技有限公司 Game item recommendation method and device and computer-readable storage medium
CN111061949A (en) * 2019-12-03 2020-04-24 深圳市其乐游戏科技有限公司 Prop recommendation method, recommendation device and computer-readable storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7445210B2 (en) 2020-12-11 2024-03-07 テンセント・テクノロジー・(シェンジェン)・カンパニー・リミテッド Methods, apparatus, devices, media and computer programs for displaying pre-order items
CN116863606A (en) * 2023-08-09 2023-10-10 广州华立科技股份有限公司 Card machine game system

Similar Documents

Publication Publication Date Title
CN109241415B (en) Project recommendation method and device, computer equipment and storage medium
CN106447372B (en) Product information pushing method and device
CN110008973B (en) Model training method, method and device for determining target user based on model
US20160034968A1 (en) Method and device for determining target user, and network server
CN109902823B (en) Model training method and device based on generation countermeasure network
CN110245475B (en) Identity verification method and device
CN111260449B (en) Model training method, commodity recommendation device and storage medium
CN111260220B (en) Group control equipment identification method and device, electronic equipment and storage medium
CN105446742A (en) Optimization method for artificial intelligence performing task
CN106803092B (en) Method and device for determining standard problem data
CN111881269A (en) Recommendation object determination method and device, electronic equipment and storage medium
Fitzgerald et al. Reactr: Realtime algorithm configuration through tournament rankings
CN106257507A (en) The methods of risk assessment of user behavior and device
CN111729301A (en) Method and device for recommending props in breakthrough game and game terminal
CN111125543B (en) Training method of book recommendation sequencing model, computing device and storage medium
CN110347916B (en) Cross-scene item recommendation method and device, electronic equipment and storage medium
CN111729301B (en) Method and device for recommending props in rushing game and game terminal
CN110348581B (en) User feature optimizing method, device, medium and electronic equipment in user feature group
CN111353015B (en) Crowd-sourced question recommendation method, device, equipment and storage medium
CN114003306B (en) Video memory optimization method, device, equipment and storage medium
JP2005222445A (en) Information processing method and analysis device in data mining
CN115907262A (en) Tour route planning method and device, electronic equipment and storage medium
CN114647782A (en) Book recommendation method of bookshelf page, computing device and storage medium
CN103823891A (en) Data processing method and device for computer historical behavior analysis
CN114418624A (en) Item recommendation method and device, electronic equipment and readable medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant