CN102938121A - Method and device for releasing commodity information - Google Patents
Method and device for releasing commodity information Download PDFInfo
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- CN102938121A CN102938121A CN2011102325856A CN201110232585A CN102938121A CN 102938121 A CN102938121 A CN 102938121A CN 2011102325856 A CN2011102325856 A CN 2011102325856A CN 201110232585 A CN201110232585 A CN 201110232585A CN 102938121 A CN102938121 A CN 102938121A
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Abstract
The invention discloses a method and a device for releasing commodity information. The method includes acquiring identification information of users, obtaining corresponding favor information of the users according to the identification information of the users, obtaining best selling index information of commodities, sequencing commodity information with best selling index larger than a threshold value according to the favor information of the users, and releasing the commodity information according to a sequencing result of the commodity information. By means of the method, the load of the server and the occupation of the network resources are reduced during the commodity information releasing process.
Description
Technical field
The application relates to networking technology area, particularly relates to a kind of merchandise news put-on method and equipment.
Background technology
Along with the develop rapidly of network technology, shopping at network relies on its convenient, flexible advantage, growing up progressively, and become the important component part of people's daily life.By the mode of shopping at network, the user need not to walk out the door, just can buy commodity, but also can get access to abundanter merchandise news, meets the commodity that oneself require most with alternative.
Merchandise news on the net purchase service platform is a feast for the eyes, quantity is very huge, a lot of users do not have clear and definite purchase target when browsing the net purchase service platform, so network service platform generally can through various channels to user's input merchandise news at random, help the user to form the purchase target with Recommendations.The mode of existing input merchandise news generally is that the net purchase service platform is chosen commodity at random in the higher commodity of degree of selling fast, and corresponding merchandise news is thrown in to the user.
In the process that realizes the application, the inventor finds prior art, and there are the following problems at least: just determine to the merchandise news of user's input by degree of selling fast, can not distinguish the different demands of different user, so often the demand disruption with the user is larger for the merchandise news of throwing in to the user, if this moment, the user wished to get access to the merchandise news of its demand, then can repeatedly initiate the new merchandise news of acquisition request, and then need the shopping at network platform to increase the number of times that merchandise news is thrown in, this process has been brought a large amount of junk information, this will inevitably increase the burden of server and taking of Internet resources, and causes merchandise news to throw in Efficiency Decreasing.
Summary of the invention
The application's purpose is to provide a kind of merchandise news put-on method and device, and to reduce the burden of server and taking of Internet resources in the process of throwing in merchandise news, for this reason, the embodiment of the present application adopts following technical scheme:
A kind of merchandise news put-on method is characterized in that, comprising:
Obtain user's identification information;
According to user's identification information, obtain user corresponding to described user's identification information preference information;
Obtain the index information of selling fast of commodity;
According to described user's preference information, index sorts greater than the merchandise news of threshold value to selling fast;
Throw in described merchandise news according to the ranking results of described merchandise news.
A kind of merchandise news dispensing device is characterized in that, comprising:
The identification information acquisition module is for the identification information that obtains the user;
The preference information acquisition module is used for the identification information according to described user, obtains the user's corresponding with described user's identification information preference information;
The index acquisition module of selling fast is used for obtaining the index information of selling fast of commodity;
Order module is used for the preference information according to described user, and index sorts greater than the merchandise news of threshold value to selling fast;
Putting module is used for throwing in described merchandise news according to the ranking results of described merchandise news.
A kind of merchandise news put-on method is characterized in that, comprising:
Merchandise news is thrown in according to putting in order;
Wherein, described merchandise news is specially the index of selling fast greater than the merchandise news of threshold value, and the described preference information that puts in order specifically according to user corresponding to user totem information sorts to merchandise news and obtains.
A kind of merchandise news dispensing device is characterized in that, comprising:
Putting module is thrown in merchandise news according to putting in order;
Wherein, described merchandise news is specially the index of selling fast greater than the merchandise news of threshold value, and the described preference information that puts in order specifically according to user corresponding to user totem information sorts to merchandise news and obtains.
The application's embodiment has the following advantages, according to user's preference information the index of selling fast is sorted greater than the merchandise news of threshold value, throw in merchandise news with the ranking results according to merchandise news, can in the process that merchandise news is thrown in, reduce the burden of server and taking of Internet resources.Certainly, arbitrary product of enforcement the application's embodiment might not need to reach simultaneously above-described all advantages.
Description of drawings
One of schematic flow sheet of the merchandise news put-on method that Fig. 1 provides for the embodiment of the invention;
Two of the schematic flow sheet of the merchandise news put-on method that Fig. 2 provides for the embodiment of the invention;
The structural representation of the merchandise news dispensing device that Fig. 3 provides for the embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing among the application, the technical scheme among the application is carried out clear, complete description, obviously, described embodiment is a part of embodiment of the application, rather than whole embodiment.Based on the embodiment among the application, the every other embodiment that those of ordinary skills obtain under the prerequisite of not making creative work belongs to the scope that the application protects.
The application's core concept is: according to user's preference information the index of selling fast is sorted greater than the merchandise news of threshold value, throw in merchandise news with the ranking results according to merchandise news, the efficient of merchandise news input be can improve, and the burden of server and taking of Internet resources reduced.
As shown in Figure 1, the flow process of the merchandise news put-on method that provides for the embodiment of the present application specifically may further comprise the steps:
Triggering the event that server obtains user totem information, can be that the user signs in to certain page, and the user carries out certain search operaqtion, or the user initiatively initiates to obtain the request of merchandise news.
Concrete, user's identification information can obtain in user's log-on message.
Wherein, user's preference information can comprise the attribute that classification and user that the user likes/do not like like/do not like.Concrete, when obtaining user's preference information, can adopt following method:
Method one, at first, according to user's identification information, in the user preference information storehouse, the merchandise news of obtaining the user and liking/do not like; Then, the classification that the classification of the commodity that the user is liked is liked as the user, the attribute that the attribute of the commodity that the user is liked is liked as the user, the classification that the classification of the commodity that the user is not liked or not as the user, the attribute that the attribute of the commodity that the user is not liked or not as the user.Wherein, merchandise news that can pre-stored user likes/do not like in the user preference information storehouse of setting up, concrete, can send query messages to the user, the request user fills in the merchandise news that the user likes/do not like, and sends to server, to store in the user preference information storehouse, the merchandise news that perhaps can also like/not like according to validation of information users such as user's historical operation or subscriber datas, and store in the user preference information storehouse.
For example, mobile phone M is the commodity that the user likes, its attribute comprise renovate, white, touch-screen, system then records mobile phone and be the classification that the user likes so, renovates, white, attribute that touch-screen is liked for the user; Air-conditioning E is the commodity that the user does not like, and its attribute comprises black, frequency conversion, and system then records the classification that air-conditioning is not liked for the user so, the attribute that black, frequency conversion are not liked for the user.
Method two, the information of a plurality of commodity of liking/not liking of user is added up, obtain user preference information.From the angle of Probability, the sample of statistics is more, and the reliability of its statistics is just higher, so method two can obtain the higher user preference information of accuracy with respect to method one, the particular content of method two can be as follows:
At first, in the user preference information storehouse, the merchandise news of obtaining the user and liking/do not like.
Then, if belong to commodity that same item purpose user likes outnumber threshold value, the classification of then described identical classification being liked as the user; If what have commodity that the user of same attribute likes outnumbers threshold value, the attribute of then described same attribute being liked as the user; If what belong to commodity that same item purpose user do not like outnumbers threshold value, the classification of then described identical classification not being liked as the user; If what have commodity that the user of same attribute do not like outnumbers threshold value, the attribute of then described same attribute not being liked as the user.
For example, if the threshold value of the classification that above-mentioned user likes/do not like is 20, the commodity that the user likes have 100, the commodity that the commodity that the commodity that the commodity that the commodity that wherein belong to classification one have 30, belong to classification two have 22, belong to classification three have 21, belong to classification four have 18, belong to classification five have 9, and system then records the classification that classification one, classification two and classification three are liked for the user so.
Again for example, if the threshold value of the attribute that above-mentioned user likes/do not like is 3, commodity 1, commodity 2, commodity 3, the commodity that commodity 4 are liked for the user, commodity 1 comprise attribute A, attribute B, attribute C, attribute D, commodity 2 comprise attribute A, attribute D, attribute E, attribute F, commodity 3 comprise attribute B, attribute C, attribute D, attribute E, commodity 4 comprise attribute A, attribute D, attribute E, attribute F, as seen, in the commodity that the user likes, commodity with attribute A have 3, and the commodity with attribute B have 2, and the commodity with attribute C have 2, commodity with attribute D have 4, commodity with attribute E have 3, and the commodity with attribute F have 2, so the record attribute A then of system, the attribute that attribute D and attribute E like for the user.
In above-mentioned two kinds of methods, possibility causes at some in particular cases owing to statistics is not comprehensive, the classification contradiction that the classification that the user likes and user do not like, perhaps, the attribute contradiction that the attribute that the user likes and user do not like.In this case, the classification that corresponding classification can be liked as the user, and not with its classification of not liking as the user; And the attribute that corresponding attribute order can be liked as the user, and not with its attribute of not liking as the user.
Method one and method two are to determine classification and the attribute that the user likes according to the merchandise news that the user likes, and determine classification and the attribute that the user does not like according to the merchandise news that the user does not like.These two kinds of methods all need the merchandise news of knowing that the user likes/do not like, and following method three and method four then do not need the merchandise news of knowing that the user likes/do not like when obtaining user's preference information, and particular content is as follows:
Method three, send query messages to the user, the request user fills in the attribute that classification and user that the user likes/do not like like/do not like, and sends to server.For example, in the query messages of user's transmission, provide one to select the interface, the option of extensive stock classification and item property is set for user selection in selecting the interface, the user selects classification and the attribute oneself liking/do not like therein, and selection result is sent to the net purchase service platform.
Method four, in user's operation information storehouse (wherein having stored the user's operation information such as user search record), obtain the keyword in user's the historical search records, determine classification and the attribute that the user likes according to the content of keyword.For example, the user is search key " mobile phone ", " white " recently often, so system then the classification liked of recording user be " white " for the attribute that " mobile phone ", user like; In addition, commodity classification and item property that the user did not retrieve then can be used as classification and attribute that the user does not like.
In addition, can also be according to the information in the item property, such as place of production information etc., the attribute information of liking/not liking as the user.
Concrete, obtaining the selling fast during index information of commodity, what system can be according in collection, purchase or the browsing information of commodity in Preset Time is at least a, determines the index information of selling fast of commodity.In force, system can obtain in 30 days collection to these commodity, buy and browse record, and these information comprehensive analysis are quantized to obtain the index information of selling fast, for example, the index that system arranges each browse operation is 1, the index of each collection operation is 3, each index of buying operation is 5, if browsing in certain commodity 30 days, collection and purchaser record are respectively 200 times, 50 times, 20 times, then index=the 200*1+50*3+20*5=450 that sells fast of these commodity.
It is pointed out that execution in step 102 after the execution of step 101, and do not have the precedence relationship of certainty between these two steps and the step 103 in sequential, namely step 103 can before step 101 and the step 102, afterwards or among.
Concrete sort method can be: obtain the index of selling fast greater than the merchandise news of threshold value (index that can claim to sell fast is the commodity of selling fast greater than the commodity of threshold value); The classification that the merchandise news obtained is not liked to the user according to the classification of liking from the user arranged sequentially; To the merchandise news in each classification after the ordering, the attribute of not liking to the user according to the attribute of liking from the user arranged sequentially.Like this, the commodity formation of selling fast after the arrangement is comprised of three parts, is followed successively by in order the classification that classification, other classifications (the commodity classification outside the classification that the classification that the user likes and user do not like), user that the user likes or not; The commodity classification of each several part inside can random alignment, also can arrange according to the index of always selling fast of commodity in the classification; Accordingly, the commodity of selling fast in each classification after the arrangement also are comprised of three parts, be followed successively by in order commodity with attribute that the user likes, other commodity (neither possessing the commodity that attribute that the user likes does not possess the attribute that the user do not like yet), have the commodity of the attribute that the user do not like, the merchandise news of each several part inside can random alignment, also can arrange by the index of selling fast of commodity.
For example, the commodity of supposing to sell fast have 3 classifications, and each class has 3 kinds of commodity of selling fast now, and the classification that classification 1 is liked for the user comprises the commodity 1 with attribute A, the commodity 2 with attribute B, the commodity 3 with attribute C in the classification 1; The classification that classification 2 is not liked for the user comprises the commodity 4 with attribute D, the commodity 5 with attribute E, the commodity 6 with attribute F in the classification 2; Classification 3 (is not the classification that the user likes, the classification of neither the user not liking), comprise the commodity 7 with attribute G, the commodity 8 with attribute H, the commodity 9 with attribute I in the classification 3, wherein, the attribute that attribute A, attribute D, attribute G like for the user, the attribute that attribute C, attribute F, attribute I do not like for the user, so, the result that these commodity of selling fast are sorted is exactly: commodity 1, commodity 2, commodity 3, commodity 7, commodity 8, commodity 9, commodity 4, commodity 5, commodity 6.
Wherein, can set up the merchandising database of selling fast, be used for the information of the commodity of selling fast that storage obtains, and the sell fast variation of index information is upgraded the merchandising database of selling fast according to commodity.
Another sort method is: do not consider the classification that the user likes/do not like, the attribute that the merchandise news obtained is not liked to the user according to the attribute of liking from the user arranged sequentially.Like this, the commodity formation of selling fast after the arrangement is comprised of three parts, be followed successively by in order commodity with attribute that the user likes, other commodity (neither possess the attribute that the user likes and also do not possess the attribute that the user does not like), have the commodity of the attribute that the user do not like, the merchandise news of each several part inside can random alignment, also can arrange by the index information of selling fast of commodity.
It is pointed out that and only to sort to the commodity of partly selling fast.For example, during the classification that the merchandise news obtained is not liked to the user according to the classification of liking from the user arranged sequentially, can choose the classification (such as 30) of preset number, as other classifications (the commodity classification outside the classification that the classification that the user likes and user do not like) of center section; During the attribute that the merchandise news in the classification is not liked to the user according to the attribute of liking from the user arranged sequentially, can choose the commodity of selling fast (such as 50) of preset number, as other commodity of center section (neither possessing the commodity that attribute that the user likes does not possess the attribute that the user do not like yet)
Concrete, in the information of the commodity of selling fast of the predetermined number of the commodity queue front that sells fast that can be after ordering, obtain at random part merchandise news and throw in.For example, in front 30 commodity of the commodity formation of selling fast, obtain at random information and the input of 5 commodity of selling fast.
Also can, determine the input probability of merchandise news according to putting in order of merchandise news, then throw in merchandise news according to throwing in probability, preferred, the input probability of the more forward commodity in position is higher in the formation.
All right, the commodity formation of selling fast after directly will sorting is thrown in to the user.
After execution of step 105, can also may further comprise the steps:
Send query messages to the user, the request user determines whether to like the merchandise news of throwing in, and upgrades user's preference information according to user's answer.
Concrete, after the user throws in merchandise news, can send query messages to the user at every turn, the request user determines whether to like the commodity thrown in, for example, can in query messages, provide the option of liking and not liking to the user, and receive the selection result that the user sends.The user replys the merchandise news of throwing in and likes or do not like, system has just got access to the information of the commodity that this new user likes/do not like, then can be with this information updating user's preference information, concrete update method can be with reference to method one and the method two in the step 102.
The embodiment of the present application, according to user's preference information the index of selling fast is sorted greater than the merchandise news of threshold value, throw in merchandise news with the ranking results according to merchandise news, can in the process that merchandise news is thrown in, reduce the burden of server and taking of Internet resources.
As shown in Figure 2, the flow process that the merchandise news put-on method that provides for the embodiment of the present application is used in concrete scene specifically may further comprise the steps:
Step 201 receives the request of checking merchandise news that the user sends;
Step 202 judges whether the user logins.If so, then execution in step 204, otherwise execution in step 203.
Step 203 according to the index information of selling fast determine the to sell fast input probability of the merchandise news in the merchandising database, and is thrown in merchandise news according to throwing in probability.Wherein, selling fast merchandising database can be for storing the merchandise news of index above threshold value of selling fast.
Preferably, the higher commodity of index of selling fast have higher input probability.
Step 204 is obtained user's preference information in the preference information database according to user's ID (Identity, identify label).
Wherein, user's preference information can comprise the attribute that classification and user that the user likes/do not like like/do not like.System can obtain user's preference information in advance, is stored in the preference information database, and continuous preference information updating maintenance to each user in the preference information database.
Step 205 sorts to the merchandise news in the merchandising database of selling fast according to user's preference information and the index information of selling fast of commodity.Concrete ordering rule can be with reference to the particular content in the upper embodiment step 102.
Step 206 according to the order after the ordering of the merchandise news in the merchandising database of selling fast, is determined the input probability of merchandise news, and throws in merchandise news according to throwing in probability.
Preferably, the more forward merchandise news in position has higher input probability after the ordering.
After execution of step 206, can also comprise the steps:
Step 1 sends query messages to the user, and the request user determines whether to like the merchandise news of throwing in, and receives the information of liking or not liking that the user returns, and according to the preference information of this user in this information updating preference information database.For example, can throw in the button that " liking ", " not liking " are provided to the user in the window in merchandise news, determine according to user's click result whether the user likes the merchandise news of throwing in.
After execution of step 203 or step 1, can also comprise the steps:
Step 2 sends query messages to the user, and the request user determines whether need to continue to obtain other merchandise news.If the user replys, then execution in step 202, otherwise, process ends.For example, can provide to the user button of " at will looking at ", if the user clicks this button, illustrate that then the user need to obtain merchandise news.
The embodiment of the present application, according to user's preference information the index of selling fast is sorted greater than the merchandise news of threshold value, throw in merchandise news with the ranking results according to merchandise news, can in the process that merchandise news is thrown in, reduce the burden of server and taking of Internet resources.And the commodity by whether liking to user's inquiry throwing in, solve user in the prior art and can not participate in the selection of " liking ", " not liking ", lack the problem with user interaction, and can constantly upgrade according to Query Result user's preference information, the efficient continuous raising that commodity are thrown in.In addition, by the option of " at will looking at " is provided to the user, solved the problem that user in the prior art can only the passive receive page throws in commodity, can require carry out commodity according to user's active and throw in.
Based on identical technical conceive, the embodiment of the present application also provides a kind of commodity dispensing device, and as shown in Figure 3, this equipment can comprise:
Identification information acquisition module 310 is for the identification information that obtains the user;
Preference information acquisition module 320 is used for the identification information according to described user, obtains the user's corresponding with described user's identification information preference information;
The index acquisition module 330 of selling fast is used for obtaining the index information of selling fast of commodity;
Order module 340 is used for the preference information according to described user, and index sorts greater than the merchandise news of threshold value to selling fast;
Putting module 350 is used for throwing in described merchandise news according to the ranking results of described merchandise news.
Preferably, the described index acquisition module 330 of selling fast specifically is used for:
According to collection, purchase or the browsing information of described commodity in Preset Time, determine the index information of selling fast of described commodity.
Preferably, described preference information acquisition module 320 specifically is used for:
According to user's identification information, in the user preference information storehouse, obtain the merchandise news that merchandise news that the user likes and user do not like;
Determine classification and the attribute that the user likes according to the merchandise news that the user likes, determine classification and the attribute that the user does not like according to the merchandise news that the user does not like.
Preferably, described preference information acquisition module 320 specifically is used for:
The classification that the classification of the commodity that the user is liked is liked as the user, the attribute that the attribute of the commodity that the user is liked is liked as the user, the classification that the classification of the commodity that the user is not liked or not as the user, the attribute that the attribute of the commodity that the user is not liked or not as the user; Perhaps
If what belong to commodity that same item purpose user likes outnumbers threshold value, the classification of then described identical classification being liked as the user; If what have commodity that the user of same attribute likes outnumbers threshold value, the attribute of then described same attribute being liked as the user; If what belong to commodity that same item purpose user do not like outnumbers threshold value, the classification of then described identical classification not being liked as the user; If what have commodity that the user of same attribute do not like outnumbers threshold value, the attribute of then described same attribute not being liked as the user.
Preferably, described user's preference information is specially the attribute that classification that the user likes, classification that the user does not like, attribute that the user likes and user do not like;
Described order module 340 specifically is used for:
Obtain the merchandise news of index greater than threshold value of selling fast;
The classification that the merchandise news obtained is not liked to the user according to the classification of liking from the user arranged sequentially;
To the merchandise news in each classification after the ordering, the attribute of not liking to the user according to the attribute of liking from the user arranged sequentially.
Preferably, described putting module 350 specifically is used for:
Determine the input probability of described merchandise news according to putting in order of described merchandise news;
Throw in described merchandise news according to described input probability.
Preferably, also comprise:
Update module is used for sending query messages to the user, and the request user determines whether to like the merchandise news of throwing in, and upgrades described user's preference information according to user's answer.
The embodiment of the present application, according to user's preference information the index of selling fast is sorted greater than the merchandise news of threshold value, throw in merchandise news with the ranking results according to merchandise news, can in the process that merchandise news is thrown in, reduce the burden of server and taking of Internet resources.
Based on identical technical conceive, the embodiment of the present application also provides another kind of commodity dispensing device, and this equipment can comprise:
Putting module is thrown in merchandise news according to putting in order; Wherein, described merchandise news is specially the index of selling fast greater than the merchandise news of threshold value, and the described preference information that puts in order specifically according to user corresponding to user totem information sorts to merchandise news and obtains.
Preferably, the acquisition process of the user's that described user totem information is corresponding preference information is specially:
According to user's identification information, in the user preference information storehouse, obtain the merchandise news that merchandise news that the user likes and user do not like;
Determine classification and the attribute that the user likes according to the merchandise news that the user likes, determine classification and the attribute that the user does not like according to the merchandise news that the user does not like.
Preferably, the described merchandise news of liking according to the user is determined classification and the attribute that the user likes, and determines classification and the attribute that the user does not like according to the merchandise news that the user does not like, and is specially:
The classification that the classification of the commodity that the user is liked is liked as the user, the attribute that the attribute of the commodity that the user is liked is liked as the user, the classification that the classification of the commodity that the user is not liked or not as the user, the attribute that the attribute of the commodity that the user is not liked or not as the user; Perhaps
If what belong to commodity that same item purpose user likes outnumbers threshold value, the classification of then described identical classification being liked as the user; If what have commodity that the user of same attribute likes outnumbers threshold value, the attribute of then described same attribute being liked as the user; If what belong to commodity that same item purpose user do not like outnumbers threshold value, the classification of then described identical classification not being liked as the user; If what have commodity that the user of same attribute do not like outnumbers threshold value, the attribute of then described same attribute not being liked as the user.
Preferably, described user's preference information is specially the attribute that classification that the user likes, classification that the user does not like, attribute that the user likes and user do not like;
, be specially the process that merchandise news sorts according to described user's preference information:
The classification that merchandise news is not liked to the user according to the classification of liking from the user arranged sequentially;
To the merchandise news in each classification after the ordering, the attribute of not liking to the user according to the attribute of liking from the user arranged sequentially.
The embodiment of the present application, according to user's preference information the index of selling fast is sorted greater than the merchandise news of threshold value, throw in merchandise news with the ranking results according to merchandise news, can in the process that merchandise news is thrown in, reduce the burden of server and taking of Internet resources.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of above-described embodiment can be merged into a module, also can further split into a plurality of submodules.
Above-mentioned the embodiment of the present application sequence number does not represent the quality of embodiment just to description.
Through the above description of the embodiments, those skilled in the art can be well understood to the application and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better embodiment in a lot of situation.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium, comprise that some instructions are with so that a station terminal equipment (can be mobile phone, personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the application.
The above only is the application's preferred implementation; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the application's principle; can also make some improvements and modifications, these improvements and modifications also should be looked the application's protection domain.
Claims (10)
1. a merchandise news put-on method is characterized in that, comprising:
Obtain user's identification information;
According to user's identification information, obtain user corresponding to described user's identification information preference information;
Obtain the index information of selling fast of commodity;
According to described user's preference information, index sorts greater than the merchandise news of threshold value to selling fast;
Throw in described merchandise news according to the ranking results of described merchandise news.
2. the method for claim 1 is characterized in that, the described index information of selling fast that obtains commodity is specially:
At least a according in collection, purchase or the browsing information of described commodity in Preset Time determined the index information of selling fast of described commodity.
3. the method for claim 1 is characterized in that, described identification information according to the user obtains user corresponding to described user's identification information preference information, is specially:
According to user's identification information, in the user preference information storehouse, obtain the merchandise news that merchandise news that the user likes and user do not like;
Determine classification and the attribute that the user likes according to the merchandise news that the user likes, determine classification and the attribute that the user does not like according to the merchandise news that the user does not like.
4. method as claimed in claim 3 is characterized in that, the described merchandise news of liking according to the user is determined classification and the attribute that the user likes, and determines classification and the attribute that the user does not like according to the merchandise news that the user does not like, and is specially:
The classification that the classification of the commodity that the user is liked is liked as the user, the attribute that the attribute of the commodity that the user is liked is liked as the user, the classification that the classification of the commodity that the user is not liked or not as the user, the attribute that the attribute of the commodity that the user is not liked or not as the user; Perhaps
If what belong to commodity that same item purpose user likes outnumbers threshold value, the classification of then described identical classification being liked as the user; If what have commodity that the user of same attribute likes outnumbers threshold value, the attribute of then described same attribute being liked as the user; If what belong to commodity that same item purpose user do not like outnumbers threshold value, the classification of then described identical classification not being liked as the user; If what have commodity that the user of same attribute do not like outnumbers threshold value, the attribute of then described same attribute not being liked as the user.
5. the method for claim 1 is characterized in that, described user's preference information is specially the attribute that classification that the user likes, classification that the user does not like, attribute that the user likes and user do not like;
Described preference information according to described user sorts greater than the merchandise news of threshold value to the index of selling fast, and is specially:
Obtain the merchandise news of index greater than threshold value of selling fast;
The classification that the merchandise news obtained is not liked to the user according to the classification of liking from the user arranged sequentially;
To the merchandise news in each classification after the ordering, the attribute of not liking to the user according to the attribute of liking from the user arranged sequentially.
6. the method for claim 1 is characterized in that, described ranking results according to described merchandise news is thrown in described merchandise news, is specially:
Determine the input probability of described merchandise news according to putting in order of described merchandise news;
Throw in described merchandise news according to described input probability.
7. the method for claim 1 is characterized in that, described ranking results according to described merchandise news is thrown in after the described merchandise news, also comprises:
Send query messages to the user, the request user determines whether to like the merchandise news of throwing in, and upgrades described user's preference information according to user's answer.
8. a merchandise news dispensing device is characterized in that, comprising:
The identification information acquisition module is for the identification information that obtains the user;
The preference information acquisition module is used for the identification information according to described user, obtains the user's corresponding with described user's identification information preference information;
The index acquisition module of selling fast is used for obtaining the index information of selling fast of commodity;
Order module is used for the preference information according to described user, and index sorts greater than the merchandise news of threshold value to selling fast;
Putting module is used for throwing in described merchandise news according to the ranking results of described merchandise news.
9. equipment as claimed in claim 8 is characterized in that, the described index acquisition module of selling fast specifically is used for:
According to collection, purchase or the browsing information of described commodity in Preset Time, determine the index information of selling fast of described commodity.
10. equipment as claimed in claim 8 is characterized in that, described preference information acquisition module specifically is used for:
According to user's identification information, in the user preference information storehouse, obtain the merchandise news that merchandise news that the user likes and user do not like;
Determine classification and the attribute that the user likes according to the merchandise news that the user likes, determine classification and the attribute that the user does not like according to the merchandise news that the user does not like.
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