CN105718525A - Exhibition recommendation method and exhibition recommendation device - Google Patents
Exhibition recommendation method and exhibition recommendation device Download PDFInfo
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- CN105718525A CN105718525A CN201610028805.6A CN201610028805A CN105718525A CN 105718525 A CN105718525 A CN 105718525A CN 201610028805 A CN201610028805 A CN 201610028805A CN 105718525 A CN105718525 A CN 105718525A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention provides an exhibition recommendation method and an exhibition recommendation device. The method comprises the following steps: obtaining the basic information and friend attention information of a user to be recommended, wherein the basic information comprises the identification of the user to be recommended and the industry information of the user to be recommended, and the friend attention information comprises the identification of at least one friend and the exhibition information concerned by the friend corresponding to the identification of the friend; generating a first exhibition set to be recommended according to exhibition information concerned by two friends together in the friend attention information; generating a second exhibition set to be recommended according to exhibition information corresponding to the industry information of the user to be recommended in an exhibition information database; recommending a recommended exhibition set obtained after the first exhibition set to be recommended and the second exhibition set to be recommended to the user to be recommended are merged for duplicate removal, so that the user to be recommended can obtain relevant exhibition information of interested industry in time and understand production information in exhibitions in time, and thus the experience degree of the user for the exhibitions and products in the interested industry are improved.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of Exhibition News method and apparatus.
Background technology
At present, line services (OnlineToOffline, O2O) under line, the chance of commercial affairs and the Internet under line are combined togather, allow the Internet become the foreground of off-line transaction.Under this line-transect, service just can attract customers with on line, and consumer with screening service on line, can also have conclusion of the business to settle accounts online.
In prior art, when user needs obtain the relevant Tradeshows of certain industry interested and participate in, user needs all exhibitions to issuing on platform to travel through, obtain the exhibition of the sector, pay close attention to and obtain exhibition relevant information, to get exhibition admission ticket, participation exhibition and participant completing commercial affairs social activity etc., user is made to be difficult to obtain in time the relevant Tradeshows of industry interested, it is difficult to understand in time product information in exhibition, reduces user's Experience Degree to industry exhibition interested and product.
Summary of the invention
The present invention provides a kind of Exhibition News method and apparatus, for solving the problem that user in prior art is difficult to obtain the relevant Tradeshows of industry interested in time.
The first aspect of the invention is to provide a kind of Exhibition News method, including:
The essential information and the good friend that obtain user to be recommended pay close attention to information, and described essential information includes: the mark of described user to be recommended and the trade information of user to be recommended；Described good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of described good friend pays close attention to；
Judge whether described good friend's concern information exists the Tradeshows that at least two good friend pays close attention to jointly；
If there is the Tradeshows that at least two good friend pays close attention to jointly in described good friend's concern information, then the Tradeshows jointly paid close attention to according to mark and the described at least two good friend of described user to be recommended, generate the first exhibition collection to be recommended；
Judge whether Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended；Described Tradeshows data base includes: the Tradeshows announced and be not turned off；
If Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended, then according to the mark of user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Described first exhibition collection to be recommended and described second exhibition collection to be recommended are merged duplicate removal, obtains recommending exhibition collection；
Described recommendation exhibition collection is recommended described user to be recommended.
Further, described method also includes:
If described good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, then judge whether Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended；
If Tradeshows data base exists the Tradeshows corresponding with described trade information, then according to the mark of user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Described second exhibition collection to be recommended is recommended described user to be recommended.
Further, described method also includes: if being absent from, in described good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, and Tradeshows data base is absent from the Tradeshows corresponding with described user's trade information to be recommended, then all Tradeshows in Tradeshows data base are recommended described user to be recommended.
Further, the described Tradeshows jointly paid close attention to according to mark and the described at least two good friend of described user to be recommended, generate the first exhibition collection to be recommended, including:
Delete the Tradeshows that user to be recommended described in the Tradeshows that described at least two good friend pays close attention to jointly has focused on；
Essential information and described good friend according to described user to be recommended pay close attention to information, calculate the matching degree between Tradeshows and the described user to be recommended that described at least two good friend pays close attention to jointly；
Matching degree between the Tradeshows and the described user to be recommended that jointly pay close attention to according to described at least two good friend, and the Tradeshows that at least two good friend pays close attention to jointly, generating the first exhibition collection to be recommended, described first exhibition to be recommended is concentrated and is included: the matching degree of the mark of described user to be recommended, the Tradeshows that at least two good friend pays close attention to jointly and correspondence.
Further, the described essential information according to described user to be recommended and described good friend pay close attention to information, calculate the matching degree between Tradeshows and the described user to be recommended that described at least two good friend pays close attention to jointly, including:
For each Tradeshows in the Tradeshows that described at least two good friend pays close attention to jointly, determine according to the common good friend's quantity paying close attention to described Tradeshows and jointly pay close attention to score；
Trade information according to described user to be recommended, calculates the industry matching score between described user to be recommended and described Tradeshows；
The summation of described common concern score, industry matching score between described user to be recommended and described Tradeshows is defined as the matching degree between described Tradeshows and described user to be recommended.
Further, the essential information of described user to be recommended also includes: the positional information of described user to be recommended；
Described Tradeshows includes: the positional information of exhibition and the Start Date of exhibition；
The described essential information according to described user to be recommended and described good friend pay close attention to information, calculate the matching degree between Tradeshows and the described user to be recommended that described at least two good friend pays close attention to jointly, including:
For each Tradeshows in the Tradeshows that described at least two good friend pays close attention to jointly, determine according to the common good friend's quantity paying close attention to described Tradeshows and jointly pay close attention to score；
Trade information according to described user to be recommended, calculates the industry matching score between described user to be recommended and described Tradeshows；
The positional information of the exhibition that positional information according to described user to be recommended is corresponding with described Tradeshows, calculates the location matches score between described user to be recommended and described Tradeshows；
Start Date according to the current time information exhibition corresponding with described Tradeshows, calculate the time difference score between described user to be recommended and described Tradeshows；
By described common concern score, the industry matching score between described user to be recommended and described Tradeshows, the location matches score between described user to be recommended and described Tradeshows, time difference score between described user to be recommended and described Tradeshows summation be defined as the matching degree between described Tradeshows and described user to be recommended.
Further, described described first exhibition collection to be recommended and described second exhibition collection to be recommended are merged duplicate removal, after obtaining recommending exhibition collection, also include:
Store the mark of described user to be recommended and the described recommendation exhibition collection of the mark correspondence of described user to be recommended.
In the present invention, paying close attention to information by the essential information and good friend obtaining user to be recommended, essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to；The first exhibition collection to be recommended is generated according to the Tradeshows that two good friends in good friend's concern information pay close attention to jointly；The second exhibition collection to be recommended is generated according to Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；The recommendation exhibition collection obtained after first exhibition collection to be recommended and the second exhibition set to be recommended duplicate removal is recommended user to be recommended, make user to be recommended can get the relevant Tradeshows of industry interested in time, recognize the product information in exhibition in time, thus improve user's Experience Degree to industry exhibition interested and product.
The second aspect of the invention is to provide a kind of Exhibition News device, including:
Acquisition module, pays close attention to information for the essential information and good friend obtaining user to be recommended, and described essential information includes: the mark of described user to be recommended and the trade information of user to be recommended；Described good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of described good friend pays close attention to；
Judge module, for judging whether there is, in described good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly；
Generation module, during for there is, in described good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, according to the Tradeshows that mark and the described at least two good friend of described user to be recommended pay close attention to jointly, generates the first exhibition collection to be recommended；
Described judge module is additionally operable to, it is judged that whether there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base；Described Tradeshows data base includes: the Tradeshows announced and be not turned off；
Described generation module is additionally operable to, when there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base, mark according to user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Merge deduplication module, for described first exhibition collection to be recommended and described second exhibition collection to be recommended are merged duplicate removal, obtain recommending exhibition collection；
Recommending module, for recommending described user to be recommended by described recommendation exhibition collection.
Further, described judge module is additionally operable to, when being absent from, in described good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, it is judged that whether there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base；
Described generation module is additionally operable to, when there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base, mark according to user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Described recommending module is additionally operable to, and described second exhibition collection to be recommended is recommended described user to be recommended.
Further, described recommending module is additionally operable to, described good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, and when Tradeshows data base is absent from the Tradeshows corresponding with described user's trade information to be recommended, all Tradeshows in Tradeshows data base are recommended described user to be recommended.
In the present invention, paying close attention to information by the essential information and good friend obtaining user to be recommended, essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to；The first exhibition collection to be recommended is generated according to the Tradeshows that two good friends in good friend's concern information pay close attention to jointly；The second exhibition collection to be recommended is generated according to Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；The recommendation exhibition collection obtained after first exhibition collection to be recommended and the second exhibition set to be recommended duplicate removal is recommended user to be recommended, make user to be recommended can get the relevant Tradeshows of industry interested in time, recognize the product information in exhibition in time, thus improve user's Experience Degree to industry exhibition interested and product.
Accompanying drawing explanation
Fig. 1 is the flow chart of one embodiment of Exhibition News method provided by the invention；
Fig. 2 is the flow chart of Exhibition News another embodiment of method provided by the invention；
Fig. 3 is the flow chart of Exhibition News another embodiment of method provided by the invention；
Fig. 4 is the structural representation of one embodiment of Exhibition News device provided by the invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Fig. 1 is the flow chart of one embodiment of Exhibition News method provided by the invention, as it is shown in figure 1, include:
101, the essential information and the good friend that obtain user to be recommended pay close attention to information, and essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to.
The executive agent of Exhibition News method provided by the invention is Exhibition News device, and Exhibition News device is specifically as follows the software performing Exhibition News method, loads hardware device or the server etc. of this software.Wherein, exhibition can refer to that state's exhibition, agriculture exhibition, electronics show can wait.The trade information of user to be recommended can refer to, the occupation of user to be recommended or the one-level belonging to hobby or two grades of industries.One-level industry such as, agricultural, industry, service trade etc..Two grades of industries refer to the concrete industry of one-level industry subordinate or intersection, for instance, steel industry, apparel industry, food service industry etc..
Further, can also include before step 101: obtain user to be recommended.The process obtaining user to be recommended is specifically as follows: obtain all of registration user, it is judged that whether registration user is filled with corresponding essential information when registering, if being filled with, then this registration user is defined as user to be recommended.
102, judge whether good friend's concern information exists the Tradeshows that at least two good friend pays close attention to jointly.
If there is the Tradeshows that at least two good friend pays close attention to jointly in 103 good friend's concern information, then the Tradeshows jointly paid close attention to according to the mark of user to be recommended and at least two good friend, generate the first exhibition collection to be recommended.
Further, in conjunction with reference to Fig. 2, on the basis of embodiment illustrated in fig. 1, described method also includes: if being absent from, in 108 good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, then judge whether there is the Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base.If 109 Tradeshows data bases exist the Tradeshows corresponding with user's trade information to be recommended, then according to the mark of user to be recommended and the Tradeshows corresponding with user's trade information to be recommended, generate the second exhibition collection to be recommended.110, the second exhibition collection to be recommended is recommended user to be recommended.
Further, in conjunction with reference to Fig. 2, after step 108, described method also includes: if being absent from, in 111 good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, and Tradeshows data base is absent from the Tradeshows corresponding with user's trade information to be recommended, then all Tradeshows in Tradeshows data base are recommended user to be recommended.
104, judge whether Tradeshows data base exists the Tradeshows corresponding with user's trade information to be recommended；Tradeshows data base include: the Tradeshows announced and be not turned off.
Wherein, Tradeshows includes the industry belonging to exhibition, the industry belonging to exhibition such as, agricultural, industry, service trade, steel industry, apparel industry, food service industry etc..The trade information of user to be recommended can be compared by Exhibition News device with the industry belonging to each exhibition in Tradeshows data base, obtains the Tradeshows corresponding with trade information.
If 105 Tradeshows data bases exist the Tradeshows corresponding with user's trade information to be recommended, then according to the mark of user to be recommended and the Tradeshows corresponding with user's trade information to be recommended, generate the second exhibition collection to be recommended.
Further, in conjunction with reference to Fig. 2, after step 104, described method also includes: if being absent from the Tradeshows corresponding with user's trade information to be recommended in 112 Tradeshows data bases, then the first exhibition collection to be recommended is recommended user to be recommended.
106, the first exhibition collection to be recommended and the second exhibition collection to be recommended are merged duplicate removal, obtain recommending exhibition collection.
Further, for convenient inquiry, after step 106, it is also possible to including: store the mark of user to be recommended and the recommendation exhibition collection of the mark correspondence of user to be recommended.
107, recommendation exhibition collection is recommended user to be recommended.
In the present embodiment, paying close attention to information by the essential information and good friend obtaining user to be recommended, essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to；The first exhibition collection to be recommended is generated according to the Tradeshows that two good friends in good friend's concern information pay close attention to jointly；The second exhibition collection to be recommended is generated according to Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；The recommendation exhibition collection obtained after first exhibition collection to be recommended and the second exhibition set to be recommended duplicate removal is recommended user to be recommended, make user to be recommended can get the relevant Tradeshows of industry interested in time, recognize the product information in exhibition in time, thus improve user's Experience Degree to industry exhibition interested and product.
Fig. 3 is the flow chart of Exhibition News another embodiment of method provided by the invention, as it is shown on figure 3, on the basis of Fig. 1 or embodiment illustrated in fig. 2, step 103 specifically may include that
1031, the Tradeshows that in the Tradeshows that at least two good friend pays close attention to jointly, user to be recommended has focused on is deleted.
Wherein, for the Tradeshows that user to be recommended has focused on, owing to these Tradeshows are paid close attention to by user to be recommended, so there is no necessity and again these Tradeshows are recommended user to be recommended, therefore, it can delete the Tradeshows that in the Tradeshows that at least two good friend pays close attention to jointly, user to be recommended has focused on.
1032, pay close attention to information according to the essential information of user to be recommended and good friend, calculate the matching degree between Tradeshows and the user to be recommended that at least two good friend pays close attention to jointly.
Specifically, implementing in scene at the first, step 1032 specifically may include that for each Tradeshows in the Tradeshows that at least two good friend pays close attention to jointly, determines according to the common good friend's quantity paying close attention to Tradeshows and jointly pays close attention to score；Trade information according to user to be recommended, calculates the industry matching score between user to be recommended and Tradeshows；By jointly paying close attention to score, the summation of industry matching score between user to be recommended and Tradeshows is defined as the matching degree between Tradeshows and user to be recommended.
Implement, in scene, the essential information of user to be recommended also to include: the positional information of user to be recommended at the second；Tradeshows includes: the positional information of exhibition and the Start Date of exhibition.
Corresponding, step 1032 specifically may include that for each Tradeshows in the Tradeshows that at least two good friend pays close attention to jointly, determines according to the common good friend's quantity paying close attention to Tradeshows and jointly pays close attention to score；Trade information according to user to be recommended, calculates the industry matching score between user to be recommended and Tradeshows；The positional information of the exhibition that positional information according to user to be recommended is corresponding with Tradeshows, calculates the location matches score between user to be recommended and Tradeshows；Start Date according to the current time information exhibition corresponding with Tradeshows, calculate the time difference score between user to be recommended and Tradeshows；By jointly pay close attention to score, the industry matching score between user to be recommended and Tradeshows, the location matches score between user to be recommended and Tradeshows, time difference score between user to be recommended and Tradeshows summation be defined as the matching degree between Tradeshows and user to be recommended.
Wherein, the trade information according to user to be recommended, the process calculating the industry matching score between user to be recommended and Tradeshows can be: if the one-level industry in the trade information of user to be recommended is mated with the one-level industry of exhibition, then industry matching score is 40；If two grades of industries in the trade information of user to be recommended are mated with two grades of industries of exhibition, then industry matching score is 60；If the trade information of user to be recommended is not mated with the trade information of exhibition, then industry matching score is 0.
Wherein, the positional information of the exhibition that positional information according to user to be recommended is corresponding with Tradeshows, the process calculating the location matches score between user to be recommended and Tradeshows is specifically as follows: first adopt below equation (1) to calculate the distance S between user to be recommended and exhibition；
Wherein, lat1 represents the latitude of user to be recommended；Lung1 represents the longitude of user to be recommended；Lat2 represents the latitude of exhibition；Lung2 represents the longitude of exhibition；A=lat1-lat2 represents the difference of user to be recommended and the latitude of exhibition；B=lung1-lung2 represents the difference of user to be recommended and the longitude of exhibition；6378.137 expression earth radius, unit is kilometer.If S≤50, then location matches must be divided into 20；If 50 < S≤200, then location matches must be divided into 10；If the positional information of S > 200 or user to be recommended is absent from or the positional information of exhibition is absent from, then location matches must be divided into 0.
Further, the Start Date according to the current time information exhibition corresponding with Tradeshows, calculate the process of the time difference score between user to be recommended and Tradeshows and be specifically as follows and calculate time difference score according to below equation (2)；
Wtime=a/ (| Dexhi-Dnow |+a)；(2)
Wherein, Wtime express time difference score；Dexhi represents the Start Date of exhibition；Dnow represents current time information；A is an adjustable parameter, generally takes 1.
Further, determine that the common process paying close attention to score is specifically as follows according to good friend's quantity of common concern Tradeshows: if the good friend's quantity jointly paying close attention to Tradeshows belongs to (0,5) interval, then jointly pay close attention to be divided into 20；If good friend's quantity of concern Tradeshows belongs to jointly [5,10) interval, then jointly pay close attention to be divided into 30；If good friend's quantity of concern Tradeshows belongs to jointly [10,20) interval, then jointly pay close attention to be divided into 35；If jointly paying close attention to good friend's quantity of Tradeshows be more than or equal to 20, then jointly pay close attention to be divided into 40.
Matching degree between Tradeshows and user to be recommended=jointly pay close attention to score+industry matching score+location matches score+time difference score.
1033, the matching degree between Tradeshows and the user to be recommended jointly paid close attention to according at least two good friend, and the Tradeshows that at least two good friend pays close attention to jointly, generating the first exhibition collection to be recommended, the first exhibition to be recommended is concentrated and is included: the matching degree of the mark of user to be recommended, the Tradeshows that at least two good friend pays close attention to jointly and correspondence.
Wherein, first recommends exhibition to concentrate the Tradeshows that can include predetermined number, for instance, first recommends exhibition to concentrate can include the Tradeshows that matching degree is front 50 or front 100.
In the present invention, paying close attention to information by the essential information and good friend obtaining user to be recommended, essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to；Obtain the Tradeshows that in good friend's concern information, at least two good friend pays close attention to jointly；Delete the Tradeshows that in the Tradeshows that at least two good friend pays close attention to jointly, user to be recommended has focused on；Essential information and good friend according to user to be recommended pay close attention to information, calculate the matching degree between Tradeshows and the user to be recommended that at least two good friend pays close attention to jointly；Matching degree between the Tradeshows and the user to be recommended that jointly pay close attention to according at least two good friend, and the Tradeshows that at least two good friend pays close attention to jointly, generate the first exhibition collection to be recommended；The second exhibition collection to be recommended is generated according to Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；The recommendation exhibition collection obtained after first exhibition collection to be recommended and the second exhibition set to be recommended duplicate removal is recommended user to be recommended, make user to be recommended can get the relevant Tradeshows of industry interested in time, recognize the product information in exhibition in time, thus improve user's Experience Degree to industry exhibition interested and product.
One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each embodiment of the method can be completed by the hardware that programmed instruction is relevant.Aforesaid program can be stored in a computer read/write memory medium.This program upon execution, performs to include the step of above-mentioned each embodiment of the method；And aforesaid storage medium includes: the various media that can store program code such as ROM, RAM, magnetic disc or CDs.
Fig. 4 is the structural representation of one embodiment of Exhibition News device provided by the invention, as shown in Figure 4, and including:
Acquisition module 41, pays close attention to information for the essential information and good friend obtaining user to be recommended, and essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to；
Judge module 42, for judging whether there is, in good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly；
Generation module 43, during for there is, in good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, according to the Tradeshows that the mark of user to be recommended and at least two good friend are paid close attention to jointly, generates the first exhibition collection to be recommended；
Judge module 42 is additionally operable to, it is judged that whether there is the Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；Tradeshows data base include: the Tradeshows announced and be not turned off；
Generation module 43 is additionally operable to, and when there is the Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base, according to the mark of user to be recommended and the Tradeshows corresponding with user's trade information to be recommended, generates the second exhibition collection to be recommended；
Merge deduplication module 44, for the first exhibition collection to be recommended and the second exhibition collection to be recommended are merged duplicate removal, obtain recommending exhibition collection；
Recommending module 45, for recommending user to be recommended by recommendation exhibition collection.
Further, on the basis of embodiment illustrated in fig. 4, judge module 42 is additionally operable to, when being absent from, in good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, it is judged that whether there is the Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；
Generation module 43 is additionally operable to, and when there is the Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base, according to the mark of user to be recommended and the Tradeshows corresponding with user's trade information to be recommended, generates the second exhibition collection to be recommended；
Recommending module 45 is additionally operable to, and the second exhibition collection to be recommended is recommended user to be recommended.
Further, recommending module 45 is additionally operable to, good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, and when Tradeshows data base is absent from the Tradeshows corresponding with user's trade information to be recommended, all Tradeshows in Tradeshows data base are recommended user to be recommended.
Further, on the basis of embodiment illustrated in fig. 4, recommending module 45 is additionally operable to, there is the Tradeshows that at least two good friend pays close attention to jointly in good friend's concern information, and when Tradeshows data base is absent from the Tradeshows corresponding with user's trade information to be recommended, the first exhibition collection to be recommended is recommended user to be recommended.
Further, on the basis of embodiment illustrated in fig. 4, generation module 42 specifically for, delete the Tradeshows that in the Tradeshows jointly paid close attention to of at least two good friend, user to be recommended has focused on；Essential information and good friend according to user to be recommended pay close attention to information, calculate the matching degree between Tradeshows and the user to be recommended that at least two good friend pays close attention to jointly；Matching degree between the Tradeshows and the user to be recommended that jointly pay close attention to according at least two good friend, and the Tradeshows that at least two good friend pays close attention to jointly, generating the first exhibition collection to be recommended, the first exhibition to be recommended is concentrated and is included: the matching degree of the mark of user to be recommended, the Tradeshows that at least two good friend pays close attention to jointly and correspondence.
Wherein, implement under scene at the first, generation module specifically for, for each Tradeshows in the Tradeshows that at least two good friend pays close attention to jointly, determine according to the common good friend's quantity paying close attention to Tradeshows and jointly pay close attention to score；Trade information according to user to be recommended, calculates the industry matching score between user to be recommended and Tradeshows；By jointly paying close attention to score, the summation of industry matching score between user to be recommended and Tradeshows is defined as the matching degree between Tradeshows and user to be recommended.
Wherein, implement, under scene, the essential information of user to be recommended also to include: the positional information of user to be recommended at the second；Tradeshows includes: the positional information of exhibition and the Start Date of exhibition；Corresponding, generation module specifically for, for each Tradeshows in the Tradeshows that at least two good friend pays close attention to jointly, determine according to the common good friend's quantity paying close attention to Tradeshows and jointly pay close attention to score；Trade information according to user to be recommended, calculates the industry matching score between user to be recommended and Tradeshows；The positional information of the exhibition that positional information according to user to be recommended is corresponding with Tradeshows, calculates the location matches score between user to be recommended and Tradeshows；Start Date according to the current time information exhibition corresponding with Tradeshows, calculate the time difference score between user to be recommended and Tradeshows；By jointly pay close attention to score, the industry matching score between user to be recommended and Tradeshows, the location matches score between user to be recommended and Tradeshows, time difference score between user to be recommended and Tradeshows summation be defined as the matching degree between Tradeshows and user to be recommended.
Further, on the basis of embodiment illustrated in fig. 4, described Exhibition News device can also include: memory module；Memory module is used for, and merging deduplication module, the first exhibition collection to be recommended and the second exhibition collection to be recommended is merged duplicate removal, after obtaining recommending exhibition collection, stores the mark of user to be recommended and the recommendation exhibition collection of the mark correspondence of user to be recommended.
In the present embodiment, paying close attention to information by the essential information and good friend obtaining user to be recommended, essential information includes: the mark of user to be recommended and the trade information of user to be recommended；Good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of good friend pays close attention to；The first exhibition collection to be recommended is generated according to the Tradeshows that two good friends in good friend's concern information pay close attention to jointly；The second exhibition collection to be recommended is generated according to Tradeshows corresponding with user's trade information to be recommended in Tradeshows data base；The recommendation exhibition collection obtained after first exhibition collection to be recommended and the second exhibition set to be recommended duplicate removal is recommended user to be recommended, make user to be recommended can get the relevant Tradeshows of industry interested in time, recognize the product information in exhibition in time, thus improve user's Experience Degree to industry exhibition interested and product.
Last it is noted that various embodiments above is only in order to illustrate technical scheme, it is not intended to limit；Although the present invention being described in detail with reference to foregoing embodiments, it will be understood by those within the art that: the technical scheme described in foregoing embodiments still can be modified by it, or wherein some or all of technical characteristic is carried out equivalent replacement；And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. an Exhibition News method, it is characterised in that including:
The essential information and the good friend that obtain user to be recommended pay close attention to information, and described essential information includes: the mark of described user to be recommended and the trade information of user to be recommended；Described good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of described good friend pays close attention to；
Judge whether described good friend's concern information exists the Tradeshows that at least two good friend pays close attention to jointly；
If there is the Tradeshows that at least two good friend pays close attention to jointly in described good friend's concern information, then the Tradeshows jointly paid close attention to according to mark and the described at least two good friend of described user to be recommended, generate the first exhibition collection to be recommended；
Judge whether Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended；Described Tradeshows data base includes: the Tradeshows announced and be not turned off；
If Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended, then according to the mark of user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Described first exhibition collection to be recommended and described second exhibition collection to be recommended are merged duplicate removal, obtains recommending exhibition collection；
Described recommendation exhibition collection is recommended described user to be recommended.
2. method according to claim 1, it is characterised in that also include:
If described good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, then judge whether Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended；
If Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended, then according to the mark of user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Described second exhibition collection to be recommended is recommended described user to be recommended.
3. method according to claim 2, it is characterised in that also include:
If described good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, and Tradeshows data base is absent from the Tradeshows corresponding with described user's trade information to be recommended, then all Tradeshows in Tradeshows data base are recommended described user to be recommended.
4. method according to claim 1, it is characterised in that the described Tradeshows jointly paid close attention to according to mark and the described at least two good friend of described user to be recommended, generates the first exhibition collection to be recommended, including:
Delete the Tradeshows that user to be recommended described in the Tradeshows that described at least two good friend pays close attention to jointly has focused on；
Essential information and described good friend according to described user to be recommended pay close attention to information, calculate the matching degree between Tradeshows and the described user to be recommended that described at least two good friend pays close attention to jointly；
Matching degree between the Tradeshows and the described user to be recommended that jointly pay close attention to according to described at least two good friend, and the Tradeshows that at least two good friend pays close attention to jointly, generating the first exhibition collection to be recommended, described first exhibition to be recommended is concentrated and is included: the matching degree of the mark of described user to be recommended, the Tradeshows that at least two good friend pays close attention to jointly and correspondence.
5. method according to claim 4, it is characterized in that, the described essential information according to described user to be recommended and described good friend pay close attention to information, calculate the matching degree between Tradeshows and the described user to be recommended that described at least two good friend pays close attention to jointly, including:
For each Tradeshows in the Tradeshows that described at least two good friend pays close attention to jointly, determine according to the common good friend's quantity paying close attention to described Tradeshows and jointly pay close attention to score；
Trade information according to described user to be recommended, calculates the industry matching score between described user to be recommended and described Tradeshows；
The summation of described common concern score, industry matching score between described user to be recommended and described Tradeshows is defined as the matching degree between described Tradeshows and described user to be recommended.
6. method according to claim 4, it is characterised in that also include in the essential information of described user to be recommended: the positional information of described user to be recommended；
Described Tradeshows includes: the positional information of exhibition and the Start Date of exhibition；
The described essential information according to described user to be recommended and described good friend pay close attention to information, calculate the matching degree between Tradeshows and the described user to be recommended that described at least two good friend pays close attention to jointly, including:
For each Tradeshows in the Tradeshows that described at least two good friend pays close attention to jointly, determine according to the common good friend's quantity paying close attention to described Tradeshows and jointly pay close attention to score；
Trade information according to described user to be recommended, calculates the industry matching score between described user to be recommended and described Tradeshows；
The positional information of the exhibition that positional information according to described user to be recommended is corresponding with described Tradeshows, calculates the location matches score between described user to be recommended and described Tradeshows；
Start Date according to the current time information exhibition corresponding with described Tradeshows, calculate the time difference score between described user to be recommended and described Tradeshows；
By described common concern score, the industry matching score between described user to be recommended and described Tradeshows, the location matches score between described user to be recommended and described Tradeshows, time difference score between described user to be recommended and described Tradeshows summation be defined as the matching degree between described Tradeshows and described user to be recommended.
7. method according to claim 1, it is characterised in that described described first exhibition collection to be recommended and described second exhibition collection to be recommended are merged duplicate removal, after obtaining recommending exhibition collection, also includes:
Store the mark of described user to be recommended and the described recommendation exhibition collection of the mark correspondence of described user to be recommended.
8. an Exhibition News device, it is characterised in that including:
Acquisition module, pays close attention to information for the essential information and good friend obtaining user to be recommended, and described essential information includes: the mark of described user to be recommended and the trade information of user to be recommended；Described good friend's concern information includes: the mark of at least one good friend, and the Tradeshows that the good friend of the mark correspondence of described good friend pays close attention to；
Judge module, for judging whether there is, in described good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly；
Generation module, during for there is, in described good friend's concern information, the Tradeshows that at least two good friend pays close attention to jointly, according to the Tradeshows that mark and the described at least two good friend of described user to be recommended pay close attention to jointly, generates the first exhibition collection to be recommended；
Described judge module is additionally operable to, it is judged that whether there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base；Described Tradeshows data base includes: the Tradeshows announced and be not turned off；
Described generation module is additionally operable to, when there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base, mark according to user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Merge deduplication module, for described first exhibition collection to be recommended and described second exhibition collection to be recommended are merged duplicate removal, obtain recommending exhibition collection；
Recommending module, for recommending described user to be recommended by described recommendation exhibition collection.
9. device according to claim 8, it is characterized in that, described judge module is additionally operable to, when described good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, it is judged that whether Tradeshows data base exists the Tradeshows corresponding with described user's trade information to be recommended；
Described generation module is additionally operable to, when there is the Tradeshows corresponding with described user's trade information to be recommended in Tradeshows data base, mark according to user to be recommended and the Tradeshows corresponding with described user's trade information to be recommended, generate the second exhibition collection to be recommended；
Described recommending module is additionally operable to, and described second exhibition collection to be recommended is recommended described user to be recommended.
10. device according to claim 9, it is characterized in that, described recommending module is additionally operable to, described good friend's concern information is absent from the Tradeshows that at least two good friend pays close attention to jointly, and when Tradeshows data base is absent from the Tradeshows corresponding with described user's trade information to be recommended, all Tradeshows in Tradeshows data base are recommended described user to be recommended.
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