CN106022872B - Organization friend recommendation method and system - Google Patents
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Abstract
The invention discloses a mechanism friend recommendation method and system in a mechanism social system. The method comprises the following steps: acquiring all organizations in the organization number platform, and setting the organizations as a friend recommendation set of alternative organizations; identifying a service classification identification set of a mechanism to be recommended; acquiring a corresponding business relation meta-knowledge network according to a business classification identification set of a mechanism to be recommended; filtering a friend recommendation set of an alternative mechanism according to a friend relationship of the mechanism to be recommended, a service relationship meta-knowledge network of the mechanism to be recommended and a preset recommendation constraint condition; setting recommendation weight of each alternative organization recommendation friend in an alternative organization friend recommendation set; and constructing a mechanism friend recommendation set according to the alternative mechanism friend recommendation set and the recommendation weight of each element. By the method and the system, the mechanism friends which may be interested can be effectively recommended for the mechanism users, so that the mechanism users can conveniently establish social and cooperative relationships with new mechanisms.
Description
Technical Field
The invention relates to the field of internet social contact, in particular to a mechanism friend recommendation method and system applied to a mechanism social contact system.
Background
Social interaction is another major basic requirement for humans besides eating, living, and walking. In recent years, people-centric online social systems have been developed in great measure, such as Facebook, QQ, WeChat, and so on. In recent two years, a human-organization social communication mode with a WeChat public number as a core has been rapidly developed. In the business field, there is also a great demand for communication social activities between organizations, and current online social products cannot meet the demand. One of the most important rings in institutional socialization is how the institution number platform recommends potential institutions as business partners to institutional users to mine potential business partner opportunities. Therefore, it is highly desirable to provide an organization friend recommendation method and system for an organization social system.
Disclosure of Invention
The invention aims to solve the technical problems and provides a mechanism friend recommendation method and a mechanism friend recommendation system, which can effectively recommend mechanism friends possibly interested to mechanism users, so that the mechanism users can conveniently establish a cooperative relationship with a new mechanism. The technical scheme is as follows:
on one hand, the invention provides a mechanism friend recommendation method, which comprises the following steps:
acquiring all organizations in the organization number platform, and setting the organizations as a friend recommendation set of alternative organizations;
identifying a service classification identification set of a mechanism to be recommended;
acquiring a corresponding business relation meta-knowledge network according to a business classification identification set of a mechanism to be recommended;
filtering a friend recommendation set of an alternative mechanism according to a friend relationship of the mechanism to be recommended, a service relationship meta-knowledge network of the mechanism to be recommended and a preset recommendation constraint condition;
setting recommendation weight of each alternative organization recommendation friend in an alternative organization friend recommendation set;
and constructing a mechanism friend recommendation set according to the alternative mechanism friend recommendation set and the weight of each element.
Further, the identifying a set of service classification identifiers of an organization to be recommended includes:
identifying a service classification identification set of an organization to be recommended according to static attribute description of the organization number;
and identifying a service classification identification set of the mechanism to be recommended through the dynamic service behavior of the mechanism number.
Further, the acquiring a corresponding service relationship meta-knowledge network according to the service classification identifier set of the mechanism to be recommended includes:
inquiring a business relation element knowledge network database by taking each business classification identifier in a business classification identifier set in a mechanism to be recommended as a key value to obtain a business relation element knowledge subnet connected with the business classification identifier;
and merging the service relation element knowledge subnets obtained by inquiring all the service classification identifiers to obtain a service relation element knowledge network.
Further, the filtering the friend recommendation set of the alternative organization according to the friend relationship of the organization to be recommended includes:
deleting the mechanism to be recommended from the friend recommendation set of the alternative mechanism;
and deleting the existing organization friends of the organization to be recommended from the alternative organization friend recommendation set.
Further, the filtering the friend recommendation set of the alternative organization according to the service relationship meta-knowledge network of the organization to be recommended includes:
identifying a service classification identification set of each mechanism in a friend recommendation set of alternative mechanisms;
and if the intersection of the service relation meta-knowledge network of the mechanism to be recommended and the service classification identification set of a certain alternative recommending mechanism is empty, deleting the alternative recommending mechanism from the friend recommending set of the alternative recommending mechanism.
Further, the filtering the friend recommendation set of the alternative organization according to the preset recommendation constraint condition includes:
filtering a friend recommendation set of the alternative mechanism according to regional constraints of the mechanism;
filtering the friend recommendation set of the alternative organization according to the time constraint of the organization engaged in the business;
filtering a friend recommendation set of the alternative organization according to the scale constraint of the organization;
and filtering the friend recommendation set of the alternative organization according to the credit level of the organization.
Further, setting recommendation weight of each friend recommended by the alternative organization in the friend recommendation set of the alternative organization comprises the following steps:
performing weight setting on the alternative mechanism friends according to the mechanism region attributes;
setting weights of friends of alternative organizations according to the time attribute of the organization engaged in the business;
performing weight setting on the friends of the alternative institutions according to the institution scale attribute;
setting weights of friends of alternative organizations according to the credit levels of the organizations;
and carrying out weight setting on the alternative mechanism friends according to the mechanism service classification identification attributes.
On the other hand, the invention provides an organization friend recommendation system, which comprises:
an organization number client;
recommending service programs by friends of organizations;
and a business relation meta-knowledge network base.
The organization number client, the organization friend recommendation service program and the business relation meta-knowledge network library are connected and interacted in the following modes:
the organization number client is connected with an organization friend recommendation service program on the organization number platform through a network;
the business relation meta-knowledge network base and the organization friend recommendation service can be deployed on an organization number platform as a program or independently of the organization number platform as a third-party service;
the organization friend recommendation service program accesses the business relation meta-knowledge network library through a local storage, a local network or a remote network;
the organization friend recommendation service program sends the constructed organization friend recommendation set to an organization number client through a network;
the organization number client notifies the organization number user of the received organization friend recommendation set in an appropriate manner on the UI.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
by the method and the system, the mechanism friend recommendation capability can be effectively provided for the mechanism number social contact system, and mechanism users can conveniently find new business partners and establish business relations.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 shows a flowchart of a method for recommending friends in an organization according to an embodiment of the invention.
Fig. 2 shows a specific flowchart of acquiring a service relationship meta-knowledge network corresponding to a service classification identifier set of an organization to be recommended according to an embodiment of the present invention.
Fig. 3 shows a flowchart for filtering a friend recommendation set of an alternative organization according to a business relationship meta-knowledge network of the organization to be recommended according to an embodiment of the present invention.
FIG. 4 shows a schematic diagram of an organization business relationship meta-knowledge network according to an embodiment of the invention.
Fig. 5(a) and 5(b) respectively show deployment diagrams of the organization friend recommendation system according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or coupled. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Fig. 1 shows a flowchart of a method for recommending friends in an organization according to an embodiment of the present invention, including:
1) the organization friend recommendation service program acquires all organizations in the organization number platform and sets the organization friend recommendation set CANDI _ RECOMM as a candidate organization friend recommendation set;
2) and identifying a service classification identification set of the mechanism to be recommended.
The service classification identification set of the mechanism to be recommended can be identified through the static attribute description of the mechanism number; or, identifying the service classification identification set of the mechanism to be recommended through the dynamic service behavior of the mechanism number. There is a global traffic class identifier set preset according to a priori knowledge, where each element is a known traffic class identifier. For each mechanism, the static attribute and/or the dynamic historical behavior of the system can be analyzed and processed according to the existing natural language processing technology, the similarity between the descriptor and each business classification identifier in the global business classification identifier is calculated, and then the static attribute or the dynamic historical behavior attribute of the mechanism is mapped into a subset in the global business classification identifier set to be used as the business classification identifier set of the mechanism. For example, assume that the global business classification identifier set is { "university", "police department", "fire department", "house property transaction center", "cement factory", "clothing factory", "builder", "exhibition facilitator", "exhibitor", "travel agency", "advertisement designer", "retailer" }, and the main introduction of a certain organization is: "XXX exhibition and management limited company is mainly engaged in related service businesses such as exhibition and management, meetings, business activities, cultural entertainment, and organizational plans of sports events. And performing natural language processing and semantic analysis on the static business introduction, and determining that the business classification identifier set of the mechanism is { "exhibition service provider" }.
3) And acquiring a corresponding business relation meta-knowledge network according to a business classification identifier set META (ORG) of the to-be-recommended organization ORG.
There is a global business relationship meta-knowledge network database built from prior knowledge or from data mining in which are recorded other business category identifiers that are in business connection with each business category identifier. For example, a business relationship element knowledge network related to "exhibition facilitator" is shown in fig. 4, that is, the business classification identifiers of other business organizations with which the main business is going to take place include { "host," "exhibitor," "exhibition hall," "constructor," "fire department," "public security department," "major event office" }.
Fig. 2 shows a specific flowchart of acquiring a service relationship meta-knowledge network corresponding to a service classification identifier set of a mechanism to be recommended according to the service classification identifier set. Firstly, setting a business relation Meta-knowledge network Meta _ Result of an organization ORG to be recommended as an empty set, and adding a business relation Meta-knowledge sub-network Meta _ Net (next) associated with a business classification identifier to the set Meta _ Result for an element next in the business classification identifier set of each organization ORG.
4) And filtering a friend recommendation set CANDI _ RECOMMs of the alternative organization according to the friend relationship of the to-be-recommended organization, the service relationship meta-knowledge network of the to-be-recommended organization and preset recommendation constraint conditions.
Firstly, according to the friend relationship of the mechanism to be recommended, the mechanism to be recommended and the existing mechanism friends of the mechanism to be recommended can be deleted from the alternative mechanism friend recommendation set CANDI _ record, so that the mechanism elements in the alternative mechanism friend recommendation set are not the existing friends of the mechanism to be recommended.
Secondly, the friend recommendation set CANDI _ record of the alternative organization can be filtered according to the service meta-knowledge network of the organization to be recommended, as shown in fig. 3. For each alternative mechanism element next _ CANDI belonging to the CANDI _ record, if the intersection of its service classification identification set META (next _ CANDI) and the service relation META knowledge network META _ Result of the mechanism to be recommended ORG is empty, then the next _ CANDI is deleted from the CANDI _ record.
And thirdly, filtering the candidate organization friend recommendation set CANDI _ RECOMMs according to the preset organization friend recommendation constraint conditions. The friend recommendation sets of alternative organizations can be filtered according to regional constraints of organizations, for example, if the constraint condition requires that only organizations with registration places or operation places in the sea are recommended, if the registration places and the operation places of a certain alternative organization are not in the sea, the alternative organization is deleted from the CANDI _ record; the candidate affiliate buddy recommendation sets may be filtered according to the time constraints of affiliates engaged in the service, e.g., assuming 2016 years is currently underway and the constraints require that only affiliates that have been engaged in the service for more than 5 years are recommended, if the registration time of a certain candidate affiliate is 2012 years or later, it is deleted from CANDI _ record; the friend recommendation sets of alternative organizations can be filtered according to the size constraints of the organizations, for example, if the constraint condition requires that only organizations with a recommendation size not less than 10 people are recommended, if the number of people of a certain alternative organization is less than 10 people, the organization is deleted from the CANDI _ record; the friend recommendation sets of alternative organizations may be filtered according to the credit rating of the organizations, for example, if the constraint condition requires that the credit rating of the recommended organization is not lower than 4 stars, if the credit rating of a certain alternative organization is 3 stars or lower, the certain alternative organization is deleted from the CANDI _ record. Besides the preset recommendation constraint conditions, other various recommendation constraint conditions can be set, and the invention does not limit the specific recommendation constraint condition category.
5) And setting the recommendation weight of each friend recommended by each alternative organization in the friend recommendation set of the alternative organization.
The recommendation weight of the candidate organization recommended friends can be set according to different preset strategies, the recommendation weight can be set according to the credit rating of the candidate organization recommended friends, for example, the higher the star rating is, the recommendation weight can be set according to the geographical distance between the candidate organization recommended friends and the organization to be recommended, for example, the lower the recommendation weight is, the recommendation weight can be set according to the time of the candidate organization recommended friends to engage in the business, for example, the higher the recommendation weight is, the larger the recommendation weight is, for example, the recommendation weight is set according to the scale of the candidate organization recommended friends, for example, the higher the recommendation weight is, the recommendation weight is set according to the overlap degree (namely, the value of the Meta _ Result | of the | META (di) ∩ Meta _ Result | between the business relation Meta knowledge network of the candidate organization and the business classification identification set of the candidate organization, for example, the recommendation weight is higher the overlap degree is, in addition to the recommendation setting strategy, and the specific recommendation weight setting strategy is not limited.
6) And constructing a mechanism friend recommendation set according to the alternative mechanism friend recommendation set and the weight of each element.
Different strategies can be adopted to select subsets from the alternative organization friend recommendation sets to form the organization friend recommendation set. For example, the alternative organization friends can be ranked from large to small according to the recommendation weight, and a plurality of organization friends with larger recommendation weights are selected as the organization friend recommendation set. However, the invention does not impose limitations on the specific alternative organization buddy selection policy.
FIG. 4 shows a schematic diagram of an organization business relationship meta-knowledge network according to an embodiment of the invention. The schematic diagram shows other business category identifiers associated with the business category identifier of "exhibition facilitator", including government departments "major office", "public security department" and "fire department" that are applied to hold exhibition contacts, and participants "exhibition hall", "exhibitor", "sponsor" and "builder" of the exhibition services. Based on the business relation meta-knowledge network, if a business classification identification set of a certain organization comprises an exhibition facilitator, when friend recommendation of the organization is carried out, government organizations with business classification identifications of ' large-scale event handling ', ' public security department ', ' fire department ' can be recommended to the organization after filtering according to region jurisdiction, and exhibition halls ', ' exhibitors ', ' sponsors ', ' construction traders ' and the like can be recommended to the organization after filtering according to region, time, scale, credit rating and the like of business handling.
Fig. 5(a) and 5(b) respectively show deployment diagrams of the organization friend recommendation system according to an embodiment of the invention.
In one deployment, as shown in fig. 5(a), the system is composed of an organization number client and an organization number platform, and the organization number platform further includes an organization friend recommendation service program and a business relationship meta-knowledge network library. The connection and working mode of the whole system are as follows: the organization number client program is connected with an organization friend recommendation service program on the organization number platform through a network; the business relation meta-knowledge network base and the organization friend recommendation service program are deployed on the organization number platform together, and the organization friend recommendation service program can access the business relation meta-knowledge network base through local storage or a local network; the organization friend recommendation service program sends the constructed organization friend recommendation set to the organization number client program through the network; the organization number client program notifies the organization number user of the received organization friend recommendation set in an appropriate manner on the UI.
In another deployment mode, as shown in fig. 5(b), the system is composed of an organization number client, an organization friend recommendation service program on an organization number platform, and a business relationship meta-knowledge network base. The connection and working mode of the whole system are as follows: the organization number client program is connected with an organization friend recommendation service program on the organization number platform through a network; the business relation meta-knowledge network base is used as a third party and is deployed independently of the organization number platform, and the organization friend recommendation service program can access the business relation meta-knowledge network base through a network; the organization friend recommendation service program sends the constructed organization friend recommendation set to the organization number client program through the network; the organization number client program notifies the organization number user of the received organization friend recommendation set in an appropriate manner on the UI.
By the technical scheme provided by the invention, the organization friends possibly interested can be effectively recommended for the organization users, so that the organization users can conveniently establish social and cooperative relationships with new organizations.
Those skilled in the art will appreciate that the present invention may be directed to an apparatus for performing one or more of the operations described in the present application. The apparatus may be specially designed and constructed for the required purposes, or it may comprise any known apparatus in a general purpose computer selectively activated or reconfigured by a program stored in the general purpose computer. Such a computer program may be stored in a device (e.g., computer) readable medium, including, but not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magnetic-optical disks, Random Access Memories (RAMs), Read Only Memories (ROMs), electrically programmable ROMs, electrically erasable ROMs (eproms), electrically erasable programmable ROMs (eeproms), flash memories, magnetic cards, or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a bus. A readable medium includes any mechanism for storing or transmitting information in a form readable by a device (e.g., a computer). For example, readable media includes Random Access Memory (RAM), Read Only Memory (ROM), magnetic disk storage media, optical storage media, flash memory devices, signals propagating in electrical, optical, acoustical or other forms (e.g., carrier waves, infrared signals, digital signals), and so on.
It will be understood by those within the art that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the methods specified in the block or blocks of the block diagrams and/or flowchart block or blocks.
Those of skill in the art will appreciate that various operations, methods, steps in the processes, acts, or solutions discussed in the present application may be alternated, modified, combined, or deleted. Further, various operations, methods, steps in the flows, which have been discussed in the present application, may be interchanged, modified, rearranged, decomposed, combined, or eliminated. Further, the steps, measures and schemes in the operation, method and flow disclosed in the present invention can be alternated, changed, rearranged, decomposed, combined or deleted only the partial embodiments of the present invention, and it should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should be considered as the protection scope of the present invention.
Claims (5)
1. An organization friend recommendation method comprises the following steps:
acquiring all organizations in the organization number platform, and setting the organizations as a friend recommendation set of alternative organizations;
identifying a service classification identification set of a mechanism to be recommended;
acquiring a corresponding business relation meta-knowledge network according to a business classification identification set of a mechanism to be recommended;
inquiring a business relation element knowledge network database by taking each business classification identifier in a business classification identifier set in a mechanism to be recommended as a key value to obtain a business relation element knowledge subnet connected with the business classification identifier;
merging the service relation element knowledge subnets obtained by inquiring all the service classification identifiers to obtain a service relation element knowledge network;
filtering a friend recommendation set of an alternative mechanism according to a friend relationship of the mechanism to be recommended, a service relationship meta-knowledge network of the mechanism to be recommended and a preset recommendation constraint condition;
setting recommendation weight of each alternative organization recommendation friend in an alternative organization friend recommendation set;
constructing a mechanism friend recommendation set according to the alternative mechanism friend recommendation set and the recommendation weight of each element;
the method for identifying the service classification identification set of the mechanism to be recommended comprises the following steps:
identifying a service classification identification set of an organization to be recommended according to static attribute description of the organization number;
and identifying a service classification identification set of the mechanism to be recommended through the dynamic service behavior of the mechanism number.
2. The method of claim 1, wherein the filtering the friend recommendation set of the alternative organization according to the friend relationship of the organization to be recommended comprises:
deleting the mechanism to be recommended from the friend recommendation set of the alternative mechanism;
and deleting the existing organization friends of the organization to be recommended from the alternative organization friend recommendation set.
3. The method of claim 1, wherein the filtering of the candidate organization friend recommendation set according to the business relationship meta-knowledge network of the to-be-recommended organization comprises:
identifying a service classification identification set of each mechanism in a friend recommendation set of alternative mechanisms;
and if the intersection of the service relation meta-knowledge network of the mechanism to be recommended and the service classification identification set of a certain alternative recommending mechanism is empty, deleting the alternative recommending mechanism from the friend recommending set of the alternative recommending mechanism.
4. The method of claim 1, wherein the filtering the candidate organization friend recommendation set according to preset recommendation constraints comprises:
filtering a friend recommendation set of the alternative mechanism according to regional constraints of the mechanism;
filtering the friend recommendation set of the alternative organization according to the time constraint of the organization engaged in the business;
filtering a friend recommendation set of the alternative organization according to the scale constraint of the organization;
and filtering the friend recommendation set of the alternative organization according to the credit level of the organization.
5. The method of claim 1, wherein setting a recommendation weight for each alternate institution recommended friend in an alternate institution friend recommendation set comprises:
performing weight setting on the alternative mechanism friends according to the mechanism region attributes;
setting weights of friends of alternative organizations according to the time attribute of the organization engaged in the business;
performing weight setting on the friends of the alternative institutions according to the institution scale attribute;
setting weights of friends of alternative organizations according to the credit levels of the organizations;
and carrying out weight setting on the alternative mechanism friends according to the mechanism service classification identification attributes.
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| CN102130934A (en) * | 2010-01-20 | 2011-07-20 | 腾讯数码（天津）有限公司 | Method and system for recommending friends in social network site (SNS) community |
| CN104794656A (en) * | 2014-01-16 | 2015-07-22 | 朱开一 | Recommendation method and recommendation system applied to social networks |
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| CN101996215B (en) * | 2009-08-27 | 2013-07-24 | 阿里巴巴集团控股有限公司 | Information matching method and system applied to e-commerce website |
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| CN101847226A (en) * | 2009-12-17 | 2010-09-29 | 广州市盈海文化传播有限公司 | Method and system for recommending opposite sex friend in social network service SNS community |
| CN102130934A (en) * | 2010-01-20 | 2011-07-20 | 腾讯数码（天津）有限公司 | Method and system for recommending friends in social network site (SNS) community |
| CN104794656A (en) * | 2014-01-16 | 2015-07-22 | 朱开一 | Recommendation method and recommendation system applied to social networks |
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