CN102855241A - Multi-index expert suggestion system and realization method thereof - Google Patents
Multi-index expert suggestion system and realization method thereof Download PDFInfo
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- CN102855241A CN102855241A CN 201110177701 CN201110177701A CN102855241A CN 102855241 A CN102855241 A CN 102855241A CN 201110177701 CN201110177701 CN 201110177701 CN 201110177701 A CN201110177701 A CN 201110177701A CN 102855241 A CN102855241 A CN 102855241A
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Abstract
The invention provides a multi-index expert suggestion system and a realization method thereof, and relates to the multi-index expert suggestion system and the realization method of the multi-index expert suggestion system that an expert in some fields can be quickly found to realize expert answering and knowledge sharing based on a forum serving as the suggestion system. Expert suggestion is a process for estimating a matching expert, the expert is estimated from three dimensional degrees, namely quality index, structure index and matching index so as to find out the expert being the most valuable to a user. The system consists of three elements of a user, a suggested object and a suggestion method. By the system, a user is a person proposing a searching request, of a forum; the suggested object is the expert and is also the user of the forum; each expert is labeled by the field; and the suggestion method is to acquire a suggestion result which can meet the user by systematic learning and interaction between the expert and the user.
Description
Technical field
The invention belongs to expert's commending system field.
Background technology
Along with the develop rapidly of society, knowledge is all highlighting its more and more consequence aspect individual's cultivation, business growth and the national development.In transmission of knowledge, the expert has consequence.The expert refers to possess professional skill, and rely on the professional personage that this type of technical ability is made a living, before, the mode that they convey knowledge just exchanges by the good friend mostly, teacher gives lessons or the mode such as interviews and reports, the sharing of knowledge is relatively poor, has certain unicity, closure and limitation, and the emergence of internet allows the mode of Knowledge Sharing that variation has occured, the birth of the search engine such as Google and Baidu makes online resource more open to the user who needs is arranged, and Baidu is known with Yahoo knowledge hall allows the user ask for help by network when encountering problems especially on one's own initiative.Except above two kinds passive and obtain on one's own initiative the knowledge mode, Internet community and forum provide another kind of channel for our Knowledge Sharing.Logistics salon, economist forum, the theme forums such as ITPUB technical forum are that the user of same area has built the platform of common interchange, and Explicit Knowledge obtains with forms such as model, annexes, and implicit knowledge passes through the modes such as question and answer, discussion by domination and propagation.By the help of the platforms such as network connection and forum, it is open and smooth that knowledge mobile becomes, knowledge to share scope extended and extend.
In addition, the appearance that network knowledge is shared also let us has had transformation to the understanding of " expert ", on network, title, certificate or educational background no longer are the sole criterions that the expert weighs, we can go to check a people in the professional degree in certain field with data, and determine whether the expert by the quality that he answers a question, can be the expert so long as be good at the people in certain field, i.e. " social expert ".
The internet becomes the expert for we provide, finds expert and the chance that contacts the expert.Expert on the network is promoting the process of Knowledge Sharing, but expert itself lacks the method for a unified management and excavation, the data of searching or the wait answer that asks a question that the user still can only be passive when encountering problems.For this reason, need a kind of many indexs expert commending system of research and its implementation.
Summary of the invention
The object of the invention is to: a kind of many indexs expert commending system and its implementation are provided, for the user builds a platform, help its expert who finds more rapidly certain field, realize expert's answer and knowledge sharing.
A kind of many indexs expert commending system and its implementation is characterized in that, are comprised of three elements: the object of user, recommendation, recommend method.In the present invention, the user is the people who proposes searching request, is the user of forum; Recommend to as if the expert, also be the user of forum, each expert has its field label; Recommend method is to obtain satisfying most user's recommendation results by systematic learning with user's interaction.
Further, described many indexs expert commending system also has following technical characterictic:
Data Source of the present invention has been opened up the trial based on expert's search of virtual society network based on the virtual network form of forum.
In the selection of index, the present invention has not only considered expert personal attribute's factor, has also considered the position of expert in community network, has merged the expert as the dual nature of individual with the social man.
On the method for recommending, except the evaluation achievement ordering based on many indexs, the present invention has also used for reference the method for Collaborative Recommendation, with good friend's preference as the user can reference index, strengthened the accuracy of system's operation when user profile is insufficient.
Description of drawings
Fig. 1 is that the system of many indexs expert commending system of the present invention always uses illustration.
Fig. 2 is the process flow diagram of the many indexs expert commending system under the present invention.
Embodiment
Technical scheme explanation of the present invention:
The present invention is with the basis of forum as commending system, and forum is an opening and dynamic platform, and the expert is exactly the user of forum, and the renewal of expert data is independently finished by the user by movable grade of forum, has stronger dirigibility and maintainability.The present invention is comprised of three elements: the object of user, recommendation, recommend method.In the present invention, the user is the people who proposes searching request, is the user of forum; Recommend to as if the expert, also be the user of forum, each expert has its field label; Recommend method is to obtain satisfying most user's recommendation results by systematic learning with user's interaction.In the present invention, it is the process that the coupling expert is assessed that the expert recommends, and from three dimensions the expert is assessed---quality index, structure index, coupling index, finding out may be to the expert of user's most worthy.
The present invention will be mainly based on the activity factor, the factor of helping each other, social factor and the content matching factor to expert's recommendation, these factors can more comprehensively reflect the performance level of expert on some dimensions, are the factors that the user may consider when choosing the expert.
As shown in Figure 1, commending system and preferential learning are the core components of system, and we will design detailed algorithm and realize recommending based on the personalized expert of user preference, and the flow process of whole commending system as shown in Figure 2.
Claims (4)
1. index expert commending system and its implementation more than one kind is characterized in that, are comprised of three elements: the object of user, recommendation, recommend method.In the present invention, the user is the people who proposes searching request, is the user of forum; Recommend to as if the expert, also be the user of forum, each expert has its field label; Recommend method is to obtain satisfying most user's recommendation results by systematic learning with user's interaction.The present invention will be mainly based on the activity factor, the factor of helping each other, social factor and content matching to expert's recommendation.
2. many indexs expert commending system according to claim 1 and its implementation is characterized in that: Data Source of the present invention has been opened up the trial based on expert's search of virtual society network based on the virtual network form of forum.
3. many indexs expert commending system according to claim 1 and its implementation, it is characterized in that: in the selection of index, the present invention has not only considered expert personal attribute's factor, also consider the position of expert in community network, merged the expert as the dual nature of individual with the social man.
4. many indexs expert commending system according to claim 1 and its implementation, it is characterized in that: on the method for recommending, except the evaluation achievement ordering based on many indexs, the present invention has also used for reference the method for Collaborative Recommendation, with good friend's preference as the user can reference index, strengthened the accuracy of system's operation when user profile is insufficient.
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| CN 201110177701 CN102855241A (en) | 2011-06-28 | 2011-06-28 | Multi-index expert suggestion system and realization method thereof |
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| CN 201110177701 CN102855241A (en) | 2011-06-28 | 2011-06-28 | Multi-index expert suggestion system and realization method thereof |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103631859A (en) * | 2013-10-24 | 2014-03-12 | 杭州电子科技大学 | Intelligent review expert recommending method for science and technology projects |
| CN104376010A (en) * | 2013-08-14 | 2015-02-25 | 腾讯科技（深圳）有限公司 | User recommendation method and user recommendation device |
| CN105976652A (en) * | 2016-07-15 | 2016-09-28 | 黄河科技学院 | Intelligent music teaching system |
| CN106295147A (en) * | 2016-07-29 | 2017-01-04 | 广州比特软件科技有限公司 | The medical expert's personalized recommendation method solved based on big data and system |
| CN107395743A (en) * | 2017-08-16 | 2017-11-24 | 维沃移动通信有限公司 | A kind of information processing method and mobile terminal |
| CN109145059A (en) * | 2018-06-29 | 2019-01-04 | 深圳市彬讯科技有限公司 | For the data processing method of data statistics, server and storage medium |
| CN109448807A (en) * | 2018-10-12 | 2019-03-08 | 成都数联易康科技有限公司 | A kind of patient's medical treatment guiding implementation method based on doctor's medical services behavioural analysis |
| CN109614301A (en) * | 2018-11-19 | 2019-04-12 | 微梦创科网络科技（中国）有限公司 | A kind of appraisal procedure and device of information |
| CN111008330A (en) * | 2019-11-27 | 2020-04-14 | 清华大学 | Expert recommendation method and system based on multiple data sources |
| CN111160699A (en) * | 2019-11-26 | 2020-05-15 | 清华大学 | Expert recommendation method and system |
-
2011
- 2011-06-28 CN CN 201110177701 patent/CN102855241A/en active Pending
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104376010A (en) * | 2013-08-14 | 2015-02-25 | 腾讯科技（深圳）有限公司 | User recommendation method and user recommendation device |
| CN104376010B (en) * | 2013-08-14 | 2021-12-14 | 腾讯科技（深圳）有限公司 | User recommendation method and device |
| CN103631859A (en) * | 2013-10-24 | 2014-03-12 | 杭州电子科技大学 | Intelligent review expert recommending method for science and technology projects |
| CN103631859B (en) * | 2013-10-24 | 2017-01-11 | 杭州电子科技大学 | Intelligent review expert recommending method for science and technology projects |
| CN105976652A (en) * | 2016-07-15 | 2016-09-28 | 黄河科技学院 | Intelligent music teaching system |
| CN106295147A (en) * | 2016-07-29 | 2017-01-04 | 广州比特软件科技有限公司 | The medical expert's personalized recommendation method solved based on big data and system |
| CN107395743B (en) * | 2017-08-16 | 2019-07-26 | 维沃移动通信有限公司 | A kind of information processing method and mobile terminal |
| CN107395743A (en) * | 2017-08-16 | 2017-11-24 | 维沃移动通信有限公司 | A kind of information processing method and mobile terminal |
| CN109145059A (en) * | 2018-06-29 | 2019-01-04 | 深圳市彬讯科技有限公司 | For the data processing method of data statistics, server and storage medium |
| CN109448807A (en) * | 2018-10-12 | 2019-03-08 | 成都数联易康科技有限公司 | A kind of patient's medical treatment guiding implementation method based on doctor's medical services behavioural analysis |
| CN109614301A (en) * | 2018-11-19 | 2019-04-12 | 微梦创科网络科技（中国）有限公司 | A kind of appraisal procedure and device of information |
| CN109614301B (en) * | 2018-11-19 | 2024-01-26 | 微梦创科网络科技（中国）有限公司 | Information evaluation method and device |
| CN111160699A (en) * | 2019-11-26 | 2020-05-15 | 清华大学 | Expert recommendation method and system |
| CN111008330A (en) * | 2019-11-27 | 2020-04-14 | 清华大学 | Expert recommendation method and system based on multiple data sources |
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Application publication date: 20130102 |