CN109034972A - Commodity method for pushing based on player preferences in a kind of game - Google Patents
Commodity method for pushing based on player preferences in a kind of game Download PDFInfo
- Publication number
- CN109034972A CN109034972A CN201810818550.2A CN201810818550A CN109034972A CN 109034972 A CN109034972 A CN 109034972A CN 201810818550 A CN201810818550 A CN 201810818550A CN 109034972 A CN109034972 A CN 109034972A
- Authority
- CN
- China
- Prior art keywords
- commodity
- game
- player
- game player
- hobby
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses the commodity method for pushing in a kind of game based on player preferences, method includes: an item property to be arranged to each game commodity, and classify to the attribute of each commodity, forms commodity association chained list；The game commodity purchasing record for reading game player from the log of store by commodity purchasing statistical module, obtains game player to the clicking rate and searching rate of each commodity, to obtain game player to the hobby value of each commodity；It obtains game player's hobby and is worth big game commodity, and hobby is obtained by item property analysis module and is worth other similar commodity of big game commodity；Game player's hobby is worth big game commodity and other similar commodity are pushed in the recommendation store of game player.The present invention can be recorded by the purchaser record and click of game player, and the commodity for being biased to player preferences are pushed to game player, improve game experiencing, and can increase consumption conversion ratio.
Description
Technical field
Commodity method for pushing the present invention relates to field of play, in especially a kind of game based on player preferences.
Background technique
With the universal and development of mobile Internet and mobile Internet, the developer of application software and operator are increasingly
It is concerned about the information of the current main use groups of its product.In addition to age bracket distribution, gender and the use habit etc. of group
Outside macroscopic information, the developer of application software and operator also wish the consumption habit etc. for grasping every user's individual in detail simultaneously
Microscopic information, more targetedly to provide more accurate commodity or service to client.
Exhibition method used by general built-in game virtual merchandise display platform is relatively rough.In majority of case
Under, developer or operator be according to virtual goods attribute carry out sequence relatively of overall importance after, it is unified to all users
It shows.This mode is not directed to the preference difference of every user, carries out personalisation process to product to be recommended.Therefore,
User is difficult to find required end article, influences the rate of consumption conversion of game.And it is huge for user base number using soft
Part, it is clear that cannot be realized by manually mode to user-customized recommended game commodity.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide the commodity based on player preferences in a kind of game to push away
Delivery method can push the commodity for being biased to player preferences to game player by the purchaser record and click record of game player,
Game experiencing is improved, and can increase consumption conversion ratio.
The purpose of the present invention is achieved through the following technical solutions:
Commodity method for pushing based on player preferences in a kind of game, including commodity purchasing statistical module, player preferences grab mould
Block, commercial product recommending module and item property analysis module, commodity purchasing statistical module are used to read game from the log of store and play
The game commodity purchasing record of family, player preferences handling module, which is used to read game player from the operation log of game player, to exist
Click record and search record, commercial product recommending module in store are used for the base from the game commodity that game player not yet buys
It is worth in the hobby of game player to game player's recommended games commodity, item property analysis module is used for game player's clicking rate
Big game commodity and the big game commodity of buying rate carry out attributive analysis, are associated with the similar commodity of such game commodity；Its
Specifically commodity method for pushing includes:
One item property is arranged to each game commodity, and is classified to the attribute of each commodity, commodity association chain is formed
Connect table；
The game commodity purchasing record of game player is read from the log of store by commodity purchasing statistical module, and passes through player
Hobby handling module reads click record and search record of the game player in store from the operation log of game player, and
It is counted to clicking record and searching for record, obtains game player to the clicking rate and searching rate of each commodity, to obtain
Hobby value of the game player to each commodity；
It obtains game player's hobby and is worth big game commodity, and hobby is obtained by item property analysis module and is worth big game quotient
Other commodity as condition；
Game player's hobby is worth big game commodity and other similar commodity are pushed in the recommendation store of game player.
Preferably, in commercial product recommending module, further include game player's hobby is worth big game commodity by hobby be worth into
Row sequence.
Preferably, in player preferences handling module, further include obtain game player supplement with money record and total purchaser record,
And supplement with money record and the total purchaser record of game player are analyzed and be classified.
Preferably, it when being set in recommended games commodity of game player's purchase more than preset quantity threshold values, is then played to game
Family gives purchase reward.
Preferably, it obtains purchase and is more than the game player of preset quantity threshold values, and be more than to good friend's degree of the game player
Player's correlation recommendation commodity of close friend's value threshold values.
Preferably, setting in game store further includes commodity preference setting window, and setting game player passes through commodity preference
The hobby commodity that oneself is arranged in window are set.
Preferably, the item property in each game store is set to further include total purchase number, total number of clicks and always make
Use number.
Preferably, set in item property analysis module further includes to always buying number height in game store and total click time
The high commodity of number are recommended.
The invention has the benefit that
The present invention can be recorded by the purchaser record and click of game player, and the quotient for being biased to player preferences is pushed to game player
Product improve game experiencing, and can increase consumption conversion ratio.
Detailed description of the invention
Fig. 1 is method flow schematic diagram of the invention.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing, but protection scope of the present invention is not limited to
It is as described below.
Embodiment:
Commodity method for pushing based on player preferences in a kind of game, please refers to shown in attached drawing 1, including commodity purchasing counts mould
Block, player preferences handling module, commercial product recommending module and item property analysis module, commodity purchasing statistical module are used for from store
The game commodity purchasing record of game player is read in log, player preferences handling module is used for the operation log from game player
The middle click record and search record for reading game player in store, commercial product recommending module from game player for not yet buying
Game commodity in, the hobby based on game player is worth to game player's recommended games commodity, and item property analysis module is used for
The game commodity big to game player's clicking rate and the big game commodity of buying rate carry out attributive analysis, are associated with such game
The similar commodity of commodity；Its specific commodity method for pushing includes:
S1, an item property is arranged to each game commodity, and classifies to the attribute of each commodity, form commodity association
Chained list；
S2, the game commodity purchasing record for reading game player from the log of store by commodity purchasing statistical module, and pass through
Player preferences handling module reads click record and search note of the game player in store from the operation log of game player
Record, and counted to clicking to record and search for record, game player is obtained to the clicking rate and searching rate of each commodity, thus
Game player is obtained to the hobby value of each commodity；
S3, acquisition game player's hobby are worth big game commodity, and obtain hobby by item property analysis module and be worth big trip
Other similar commodity of play commodity；
S4, game player's hobby is worth big game commodity and other similar commodity are pushed to the recommendation store of game player
In.
Preferably, in commercial product recommending module, further include game player's hobby is worth big game commodity by hobby be worth into
Row sequence.
Preferably, in player preferences handling module, further include obtain game player supplement with money record and total purchaser record,
And supplement with money record and the total purchaser record of game player are analyzed and be classified.
Preferably, it when being set in recommended games commodity of game player's purchase more than preset quantity threshold values, is then played to game
Family gives purchase reward.
Preferably, it obtains purchase and is more than the game player of preset quantity threshold values, and be more than to good friend's degree of the game player
Player's correlation recommendation commodity of close friend's value threshold values.
Preferably, setting in game store further includes commodity preference setting window, and setting game player passes through commodity preference
The hobby commodity that oneself is arranged in window are set.
Preferably, the item property in each game store is set to further include total purchase number, total number of clicks and always make
Use number.
Preferably, set in item property analysis module further includes to always buying number height in game store and total click time
The high commodity of number are recommended.
The present invention can be recorded by the purchaser record and click of game player, pushed to game player and be biased to player preferences
Commodity, improve game experiencing, and can increase consumption conversion ratio.
A specific embodiment of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.
Claims (8)
1. the commodity method for pushing in a kind of game based on player preferences, which is characterized in that including commodity purchasing statistical module, play
Family's hobby handling module, commercial product recommending module and item property analysis module, commodity purchasing statistical module are used for from store log
The middle game commodity purchasing record for reading game player, player preferences handling module from the operation log of game player for reading
Click record and search record, commercial product recommending module of the game player in store is taken to be used for the trip not yet bought from game player
It plays in commodity, the hobby based on game player is worth to game player's recommended games commodity, and item property analysis module is used for trip
The big game commodity of player's clicking rate of playing big game commodity and buying rate carry out attributive analysis, are associated with such game commodity
Similar commodity；Its specific commodity method for pushing includes:
One item property is arranged to each game commodity, and is classified to the attribute of each commodity, commodity association chain is formed
Connect table；
The game commodity purchasing record of game player is read from the log of store by commodity purchasing statistical module, and passes through player
Hobby handling module reads click record and search record of the game player in store from the operation log of game player, and
It is counted to clicking record and searching for record, obtains game player to the clicking rate and searching rate of each commodity, to obtain
Hobby value of the game player to each commodity；
It obtains game player's hobby and is worth big game commodity, and hobby is obtained by item property analysis module and is worth big game quotient
Other commodity as condition；
Game player's hobby is worth big game commodity and other similar commodity are pushed in the recommendation store of game player.
2. the commodity method for pushing in a kind of game based on player preferences according to claim 1, which is characterized in that in commodity
It further include being worth big game commodity to game player's hobby to be ranked up by hobby value in recommending module.
3. the commodity method for pushing in a kind of game based on player preferences according to claim 1, which is characterized in that in player
Like in handling module, further include obtain game player supplement record and total purchaser record with money, and with money note is supplemented to game player
Record and total purchaser record are analyzed and are classified.
4. the commodity method for pushing in a kind of game based on player preferences according to claim 1, which is characterized in that be set in
When game player's purchase is more than the recommended games commodity of preset quantity threshold values, then purchase reward is given to game player.
5. the commodity method for pushing in a kind of game based on player preferences according to claim 1, which is characterized in that obtain purchase
The game player more than preset quantity threshold values is bought, and player's association that good friend's degree of the game player is more than friendly value threshold values is pushed away
Recommend commodity.
6. the commodity method for pushing in a kind of game based on player preferences according to claim 1, which is characterized in that setting trip
It further include commodity preference setting window in play store, the hobby that oneself is arranged in window is arranged by commodity preference by setting game player
Commodity.
7. the commodity method for pushing in a kind of game based on player preferences according to claim 1, which is characterized in that setting is every
Item property in a game store further includes total purchase number, total number of clicks and total access times.
8. the commodity method for pushing in a kind of game based on player preferences according to claim 7, which is characterized in that setting quotient
It further include to always buying number height in game store and the high commodity of total number of clicks are recommended in product attributive analysis module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810818550.2A CN109034972A (en) | 2018-07-24 | 2018-07-24 | Commodity method for pushing based on player preferences in a kind of game |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810818550.2A CN109034972A (en) | 2018-07-24 | 2018-07-24 | Commodity method for pushing based on player preferences in a kind of game |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109034972A true CN109034972A (en) | 2018-12-18 |
Family
ID=64644522
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810818550.2A Pending CN109034972A (en) | 2018-07-24 | 2018-07-24 | Commodity method for pushing based on player preferences in a kind of game |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109034972A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111652673A (en) * | 2020-05-09 | 2020-09-11 | 腾讯科技（深圳）有限公司 | Intelligent recommendation method, device, server and storage medium |
| CN113450181A (en) * | 2021-05-27 | 2021-09-28 | 广州三七极耀网络科技有限公司 | Virtual commodity recommendation method, device, equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102411596A (en) * | 2010-09-21 | 2012-04-11 | 阿里巴巴集团控股有限公司 | Information recommendation method and system |
| CN104246751A (en) * | 2011-12-02 | 2014-12-24 | Kddi株式会社 | Recommendation device, recommendation system, recommendation method and program |
| CN105528374A (en) * | 2014-10-21 | 2016-04-27 | 苏宁云商集团股份有限公司 | A commodity recommendation method in electronic commerce and a system using the same |
| CN106557938A (en) * | 2015-09-24 | 2017-04-05 | 网易（杭州）网络有限公司 | The method for pushing of virtual objects in a kind of game |
| CN107862566A (en) * | 2017-10-17 | 2018-03-30 | 杨明 | A kind of Method of Commodity Recommendation and system |
| CN108261766A (en) * | 2018-01-18 | 2018-07-10 | 珠海金山网络游戏科技有限公司 | Game Method of Commodity Recommendation and device based on preference |
-
2018
- 2018-07-24 CN CN201810818550.2A patent/CN109034972A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102411596A (en) * | 2010-09-21 | 2012-04-11 | 阿里巴巴集团控股有限公司 | Information recommendation method and system |
| CN104246751A (en) * | 2011-12-02 | 2014-12-24 | Kddi株式会社 | Recommendation device, recommendation system, recommendation method and program |
| CN105528374A (en) * | 2014-10-21 | 2016-04-27 | 苏宁云商集团股份有限公司 | A commodity recommendation method in electronic commerce and a system using the same |
| CN106557938A (en) * | 2015-09-24 | 2017-04-05 | 网易（杭州）网络有限公司 | The method for pushing of virtual objects in a kind of game |
| CN107862566A (en) * | 2017-10-17 | 2018-03-30 | 杨明 | A kind of Method of Commodity Recommendation and system |
| CN108261766A (en) * | 2018-01-18 | 2018-07-10 | 珠海金山网络游戏科技有限公司 | Game Method of Commodity Recommendation and device based on preference |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111652673A (en) * | 2020-05-09 | 2020-09-11 | 腾讯科技（深圳）有限公司 | Intelligent recommendation method, device, server and storage medium |
| CN111652673B (en) * | 2020-05-09 | 2023-04-07 | 腾讯科技（深圳）有限公司 | Intelligent recommendation method, device, server and storage medium |
| CN113450181A (en) * | 2021-05-27 | 2021-09-28 | 广州三七极耀网络科技有限公司 | Virtual commodity recommendation method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Varshneya et al. | Experiential value: a review and future research directions | |
| Yogesh et al. | Effect of social media on purchase decision | |
| Liadeli et al. | A meta-analysis of the effects of brands’ owned social media on social media engagement and sales | |
| CN103823908B (en) | Content recommendation method and server based on user preference | |
| CN103678518B (en) | Method and device for adjusting recommendation lists | |
| CN104428805B (en) | The linking objective locking of enhanced search | |
| CN108009897A (en) | A kind of real-time recommendation method of commodity, system and readable storage medium storing program for executing | |
| KR101621938B1 (en) | System for online shopping recommendation information using topic of consumers | |
| CN103858142A (en) | Store information provision system | |
| TW201520790A (en) | Individualized data search | |
| Datta et al. | Do app launch times impact their subsequent commercial success? an analytical approach | |
| CN109493113A (en) | A kind of providing method and device of favor information | |
| KR101646312B1 (en) | Personal Action-Based Interest and Preference Analysis Method and System | |
| CN107230136A (en) | A kind of shopping sequence method for pushing based on big data | |
| CN108664564A (en) | A kind of improvement collaborative filtering recommending method based on item contents feature | |
| CN108764949A (en) | A kind of information-pushing method and equipment | |
| CN108595492A (en) | Method for pushing and device, storage medium, the electronic device of content | |
| JP5824602B1 (en) | Information processing apparatus, information processing method, and information processing program | |
| CN108733834A (en) | The user oriented recommendation method, apparatus of one kind and storage medium | |
| CN110807691B (en) | Cross-commodity-class commodity recommendation method and device | |
| CN109034972A (en) | Commodity method for pushing based on player preferences in a kind of game | |
| JP6692156B2 (en) | Information processing apparatus, information processing method, and information processing program | |
| CN109685632A (en) | Commodity automation shared system and method Internet-based | |
| WO2009092326A1 (en) | Method and device for obtaining a relative content of a community platform in a group of an immediate communication tool | |
| KR101262361B1 (en) | Method for Comparing Goods to Show Goods According to Ranks Based on Cumulative Voting Scores |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181218 |