CN103401873A - System and method for realizing stream media expert service based on network - Google Patents
System and method for realizing stream media expert service based on network Download PDFInfo
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- CN103401873A CN103401873A CN2013103408145A CN201310340814A CN103401873A CN 103401873 A CN103401873 A CN 103401873A CN 2013103408145 A CN2013103408145 A CN 2013103408145A CN 201310340814 A CN201310340814 A CN 201310340814A CN 103401873 A CN103401873 A CN 103401873A
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Abstract
The invention relates to a system and a method for realizing stream media expert service based on network, belonging to the technical field of networks. The system comprises a plurality of client sides, a plurality of expert sides and a server which are connected to the network. After the client sides emit stream media service requests to the server, a relevant ordering module of the server generates an expert side sequence obtaining priority due to higher relevancy according to the relevancies between the key information or other information in the stream media service requests and expert professional description information stored in an expert database; then the server establishes stream media service between the client sides and the selected expert sides according to the priority. Thus, according to the system and the method provided by the invention, users at the clients sides can conveniently find the most proper experts; and the system and the method for realizing the stream media expert service based on the network have the advantages of high efficiency, fast and convenient implementation method, low application cost and quite broad application range.
Description
Technical field
The present invention relates to networking technology area, particularly the Technology of Network Streaming Media field, specifically refer to a kind of system and method for realizing the Streaming Media expert service Network Based.
Background technology
Along with the development of network technology, the people far away from all over the world can connect each other by network, understand each other.Simultaneously, the continuous quickening of social life rhythm, people also more are happy to the Adoption Network technology and link up, particularly enter the mobile 4G epoch of netting mutually and being about to enter, mobile terminal allows this communication have the facility of traversing space-time especially, Streaming Media communication way take audio frequency and video as representative, can change conventional AC custom, make link up have easy, directly, feature cheaply.
On the other hand, under many circumstances, people need to link up with some experts, for example, doctor, lawyer or other professional persons etc., these professional persons can provide timely and important suggestion for a lot of problems, and then also likely need to carry out the work such as evidence demonstration, scene inspection, but reservation meet etc. all needs a lot of time, traffic and Financial cost, and carry out the work such as evidence demonstration, scene inspection, all may more harsh requirement be arranged to the time.So, whether can realize that this long-range meet becomes the present subject matter that solves that needs by network.
Although the development of network communications technology, the transmission of word, sound and video can both in time be realized, but in the situation that the network of experts service is provided, for the user, sixty-four dollar question is how to find optimal expert, this will consider occupation, specialty, region, experience, custom, sense of responsibility, the many-sided factor of dialect etc. even, therefore, how to utilize network to find suitable expert, thus set up one based on network efficiently, fast, the expert service platform is the problem of needing at present solution badly easily.
Summary of the invention
The objective of the invention is to have overcome above-mentioned shortcoming of the prior art, the service request information that can the automatic analysis user sends is provided, and with expert info, compare, sort with the degree of association, provide the user to carry out expert's selection, thereby make the user can find easily most suitable expert, and efficient, quick, convenient, cost is lower, and range of application is the system and method for realizing the Streaming Media expert service Network Based quite widely.
, in order to realize above-mentioned purpose, of the present inventionly Network Basedly realize that the system of Streaming Media expert service has following formation:
This system comprises a plurality of clients that all are connected in network, a plurality of expert end and server.Client, in order to send the streaming media service request, gathers also video, audio frequency and the Word message of transmission client, and from network, obtains to show after the network information; A plurality of experts end in order to and at least one described client between set up streaming media service, collection and video, audio frequency and the Word message held to the described client transmissions expert who sets up streaming media service by network, and show described video, audio frequency and the Word message of setting up the client of streaming media service; Server connects respectively described each client and expert's end by network, receive the streaming media service request that described client is sent, determine to set up the priority of streaming media service according to the relevance between streaming media service request and each described expert end, according to described priority, set up the streaming media service of client between holding with the expert.
This is Network Based realizes that in the system of Streaming Media expert service, described server comprises: control module is set up in expert database, streaming media service requirement analysis module, relevance order module and streaming media service.Wherein, expert database is in order to store described each expert's client information, and described expert's client information comprises that expert's specialty descriptor and expert hold presence information; The streaming media service request that streaming media service requirement analysis module is sent in order to receive described client, and analyze user profile and the keyword message that extracts in described streaming media service request; The relevance order module is according to the degree of association between described keyword message and described expert specialty descriptor, generates preferential expert's terminal sequence of degree of association height; Streaming media service is set up control module and is held at least one expert's end of presence Information Selection to be selected expert's end according to described expert's terminal sequence and described expert, and sets up the streaming media service between client and selected expert end.
this is Network Based realizes in the system of Streaming Media expert service, described relevance order module comprises Feature Words database and semantic degree of approximation computing unit, described Feature Words database stores a plurality of and described expert's specialty descriptor meaning of a word to related Feature Words, and store degree of association information between each Feature Words and described expert specialty descriptor, described semantic degree of approximation computing unit calculates in order to the semantic degree of approximation between described keyword message and described expert specialty descriptor, obtain expert's specialty descriptor of each expert's end and the semantic degree of approximation numerical value between keyword message, and according to semantic degree of approximation numerical ordering, generate preferential expert's terminal sequence of degree of association height.
This is Network Based realizes in the system of Streaming Media expert service, described expert's specialty descriptor comprises expert's category of employment information, professional degree evaluation, the evaluation of service promptness, links up affinity information, the affiliated region of expert and network presence information, and described expert database also stores user's evaluation information of described each expert's end.
This is Network Based realizes that in the system of Streaming Media expert service, described server also comprises: client validation control module and client database.The client validation control module is used for verifying new client, and produces client-side information; The client-side information that client database produces in order to store described client validation control module, and store the streaming media service request that each client is sent.
This is Network Based realizes that in the system of Streaming Media expert service, described client is one or more in computer, panel computer, mobile phone, IPTV terminal, Digital Television and personal digital assistant; Described expert's end is one or more in computer, panel computer, mobile phone, IPTV terminal, Digital Television and personal digital assistant.
The present invention also provides a kind of described system method that realizes the Streaming Media expert service Network Based of utilizing, and described method comprises the following steps:
(1) described client is sent the streaming media service request to described server;
(2) described server determines to set up the priority of streaming media service according to the relevance between described streaming media service request and each described expert's end;
(3) described server selects at least one expert's end to be selected expert's end according to the described priority of setting up streaming media service;
(4) described server is set up the streaming media service between client and selected expert end;
(5) after finishing streaming media service, client sends expert opinion information to described server;
(6) described server stores described expert opinion information the user evaluation information of expert database as corresponding expert's end into.
This is Network Based realizes in the method for Streaming Media expert service, and described server comprises that expert database, streaming media service requirement analysis module, relevance order module and streaming media service set up control module; Described step (2) specifically comprises the following steps:
(21) described streaming media service requirement analysis module receives the streaming media service request that client is sent, and analyzes user profile and the keyword message that extracts in described streaming media service request;
(22) described relevance order module is according to the degree of association between the expert that stores in described keyword message and described expert database specialty descriptor, generates preferential expert's terminal sequence of degree of association height.
This is Network Based realizes in the method for Streaming Media expert service, described relevance order module comprises semantic degree of approximation computing unit and Feature Words database, described Feature Words database stores a plurality of and described expert's specialty descriptor meaning of a word to related Feature Words, and store degree of association information between each Feature Words and described expert specialty descriptor, described step (22) specifically comprises the following steps:
(22-1) Feature Words that conforms to described keyword message at described Feature Words database lookup of described relevance order module;
(22-2) described semantic degree of approximation computing unit is according to the degree of association information calculating keyword message between the Feature Words that finds and expert's specialty descriptor and the degree of association between described expert specialty descriptor;
(22-3) described semantic degree of approximation computing unit generates preferential expert's terminal sequence of degree of association height according to the degree of association between described keyword message and described expert specialty descriptor.
Adopted the system and method for realizing the Streaming Media expert service Network Based of this invention, its system comprises a plurality of clients that are connected in network, a plurality of expert end and server.after user end to server sends the streaming media service request, the relevance order module of server is according to the degree of association between expert's specialty descriptor of storing in the keyword message in the streaming media service request or out of Memory and expert database, generate preferential expert's terminal sequence of degree of association height, then server is set up the streaming media service of client and selected expert end according to priority, thereby utilize system and method for the present invention, can make the client user find easily most suitable expert, and the system and method for realizing the Streaming Media expert service Network Based of the present invention, efficiency is high, implementation method is quick, convenient, application cost is lower, range of application is also quite extensive.
Description of drawings
Fig. 1 is the structural representation of realizing the system of Streaming Media expert service Network Based of the present invention.
Fig. 2 is the flow chart of steps that realizes the method for Streaming Media expert service Network Based of the present invention.
Embodiment
, in order more clearly to understand technology contents of the present invention, especially exemplified by following examples, describe in detail.
See also shown in Figure 1ly, be the structural representation of realizing the system of Streaming Media expert service Network Based of the present invention.
In one embodiment, this system comprises a plurality of clients that all are connected in network, a plurality of expert end and server.Client, in order to send the streaming media service request, gathers also video, audio frequency and the Word message of transmission client, and from network, obtains to show after the network information; Expert end in order to and at least one described client between set up streaming media service, collection and video, audio frequency and the Word message held to the described client transmissions expert who sets up streaming media service by network, and show described video, audio frequency and the Word message of setting up the client of streaming media service; Server connects respectively described each client and expert's end by network, receive the streaming media service request that described client is sent, determine to set up the priority of streaming media service according to the relevance between streaming media service request and each described expert end, according to described priority, set up the streaming media service of client between holding with the expert.
Utilize the described system of this execution mode method that realizes the Streaming Media expert service Network Based, as shown in Figure 2, comprise the following steps:
(1) described client is sent the streaming media service request to described server;
(2) described server determines to set up the priority of streaming media service according to the relevance between described streaming media service request and each described expert's end;
(3) described server selects at least one expert's end to be selected expert's end according to the described priority of setting up streaming media service;
(4) described server is set up the streaming media service between client and selected expert end;
(5) after finishing streaming media service, client sends expert opinion information to described server;
(6) described server stores described expert opinion information the user evaluation information of expert database as corresponding expert's end into.
In a kind of more preferably execution mode, described server comprises that expert database, streaming media service requirement analysis module, relevance order module and streaming media service set up control module.Wherein, expert database is in order to store described each expert's client information, and described expert's client information comprises that expert's specialty descriptor and expert hold presence information; The streaming media service request that streaming media service requirement analysis module is sent in order to receive described client, and analyze user profile and the keyword message that extracts in described streaming media service request; The relevance order module is according to the degree of association between described keyword message and described expert specialty descriptor, generates preferential expert's terminal sequence of degree of association height; Control module is set up in streaming media service can be manually according to sequence or automatically select the expert to hold; Work hours on weekdays, alternative expert's list is pushed to the customer service backstage, by customer service artificial selection in list, when customer service is not online or quitting time and day off, system selects the override expert to be pushed to the client automatically, sends Streaming Media to the expert simultaneously and invites, if the expert accepts, link up and set up,, if refusal or certain hour are not processed, postpone and recommend the next bit expert.
Utilizing this more preferably in the described system of the execution mode method that realizes the Streaming Media expert service Network Based, described step (2) specifically comprises the following steps:
(21) described streaming media service requirement analysis module receives the streaming media service request that client is sent, and analyzes user profile and the keyword message that extracts in described streaming media service request;
(22) described relevance order module is according to the degree of association between the expert that stores in described keyword message and described expert database specialty descriptor, generates preferential expert's terminal sequence of degree of association height.
And described step (3) is specially: described streaming media service is set up control module and is held the presence information indicating to send the client selection expert end of streaming media service request according to described expert's terminal sequence and described expert.
in another preferred embodiment, described relevance order module comprises Feature Words database and semantic degree of approximation computing unit, described Feature Words database stores a plurality of and described expert's specialty descriptor meaning of a word to related Feature Words, and store degree of association information between each Feature Words and described expert specialty descriptor, described semantic degree of approximation computing unit calculates in order to the semantic degree of approximation between described keyword message and described expert specialty descriptor, obtain expert's specialty descriptor of each expert's end and the semantic degree of approximation numerical value between keyword message, and according to semantic degree of approximation numerical ordering, generate preferential expert's terminal sequence of degree of association height.
Utilizing this preferred embodiment in the described system method that realizes the Streaming Media expert service Network Based, described step (22) specifically comprises the following steps:
(22-1) Feature Words that conforms to described keyword message at described Feature Words database lookup of described relevance order module;
(22-2) described semantic degree of approximation computing unit is according to the degree of association information calculating keyword message between the Feature Words that finds and expert's specialty descriptor and the degree of association between described expert specialty descriptor;
(22-3) described semantic degree of approximation computing unit generates preferential expert's terminal sequence of degree of association height according to the degree of association between described keyword message and described expert specialty descriptor.
In preferred execution mode, described client is one or more in computer, panel computer, mobile phone, IPTV terminal, Digital Television and personal digital assistant; Described expert's end is one or more in computer, panel computer, mobile phone, IPTV terminal, Digital Television and personal digital assistant.Described server also comprises client validation control module and client database.The client validation control module is used for verifying new client, and produces client-side information; The client-side information that client database produces in order to store described client validation control module, and store the streaming media service request that each client is sent.
In preferred execution mode, described expert's specialty descriptor comprises expert's category of employment information, professional degree evaluation, the evaluation of service promptness, links up affinity information, the affiliated region of expert and network presence information, and described expert database also stores user's evaluation information of described each expert's end.
Described network can be wired or wireless internet system, can facilitate the law expert under mobile terminal condition, solve link up face-to-face far in real time and visually exchange, the problem of interaction, carry out the work such as evidence demonstration, scene inspection, thereby meet the harsh requirement of this class work for the time.
In actual applications, the system that realizes the Streaming Media expert service Network Based of the present invention should at least two terminal equipments, and it further comprises:
A data sending module, can initiate the Streaming Media request, select and define service type, the prompting of input demand and limited range etc.;
A data receiver module, can be from reading information, reception audio frequency and video on server;
Two equal inclusion information display modules of terminal equipment, audio frequency and video, word, pictorial information that the expert is provided are presented on terminal equipment; All the inclusion information memory module, store acquired information, in order to filing or inquiry.
Server, seen the data connection by network be connected two terminal equipments, and it further comprises memory module, storage specialized information and user data information.Memory module further comprises: specialized information database, storage specialized information; User Information Database, the user profile of storage validated user; The expert info database, the user profile of storage expert user; SIM, connect User Information Database, in user rs authentication, is legal marquis, according to user's request, searches in the expert info database and intend the expert info of recommending; The expert pushes algoritic module,, according to experts database expert's classified information, standardized qualification nominal, in conjunction with multidate information (position, busy degree, evaluation in the recent period etc.), carries out sort operation, to form, pushes ranking value; , with the bidirectional pushing module, push expert's brief introduction to legitimate client, to recommending the expert to push demand information.
Terminal equipment can be computer, panel computer, mobile phone, IPTV equipment, Digital Television and personal digital assistant.
Native system can run on Windows, Unix, Mac OS, windows, Android, the operating systems such as Linux, Symbian, ios.
Can interconnect by the Internet, mobile Internet, cable television network etc. between terminal and server.
System can also comprise bar code or the two-dimension code label that is arranged on the relevant authentication product; Bar code and Quick Response Code reading terminals,, by reading bar code or two-dimension code label information, carry out automatic newly client enrollment, existing customer and authenticate, show historical information etc.; The memory module of this server comprises: customer data, expert's data; Customer status, expert's state; Customer evaluation, expert opinion; Special marking, eliminating information etc.
The characteristics of system of the present invention are, intelligence specialized information storehouse can be answered the content accumulation and sort out according to customer demand statistics and analysis, expert, form powerful specialized information storehouse, and information is carried out the scientific classification sign, write intelligent retrieval and push algorithm, with reasonable drawing, use, propelling movement; Dynamically expert data accumulation, change registration, real-time status crawl, evaluation information, Streaming Media monitoring technique etc. according to expert's qualification, and expert's ident value is carried out dynamic regulation and management; Intelligent expert pushes algorithm,, according to experts database expert's classified information, qualification sign, multidate information (position, busy degree), evaluation information etc., carries out the intelligent sequencing computing; Simultaneity factor can with automatically note down the time, place of client and expert's service each time, often, the content such as evaluation, and sort out, analyze, with formation Service Statistics information.
When carrying out expert service, comprise the following steps:
The request of user's registration or logon server is sent to server, comprises that the user passes through scanning barcode or Quick Response Code auto registration or login;
The user that server authentication is filed a request is if registered user's auto registration; If login user checks whether it is validated user, if not refusing its access services device; If it is can carry out next step operation;
The request of the user being initiated Streaming Media is sent to server;
Server carries out the expert according to request and pushes computing, draws the backward client of sequence and pushes expert's brief introduction;
Server pushes the streaming media service demand to selected expert, waits for that the expert accepts;
If expert's refusal, the next bit candidate that will push separately sequence is pushed to the user; If the user does not accept the expert that system pushes, server pushes the next bit expert after receiving response separately in order;
The client accepts the expert that system pushes, and clicks and accepts button, and system is connected the bidirectional flow media;
The expert provides professional service;
Finish service, customer evaluation, flow process termination.
In the situation that of the present inventionly realize that the expert service system of Streaming Media is the legal services systems, native system further comprises following content:
Lawyer's database, included the lawyer's who identifies cooperation agreement each side data, comprised name, age, native place, permanent city, affiliated rule institute, annual test state, the operation time limit, be good at field, responsible case, sit breath time, the wish of going on business, finanzieren grade; Lawyer's presence by statistics, the state of turning out for work, aggressiveness level, response speed; And the information such as attitude of providing of client, professional attitude, responsibility attitude.
The case property data base, party in many ways, case content, trial side and result, reexamination side and result, the affiliated field of storage case, attorney names in many ways.
Intelligence field coupling point system control module, request by client's submission, relevant case summary in the special disease database of coupling case goes out the difficulty possibility of dividing, go on business, divide the matching law decision database can solve this most positive lawyer of field case, wherein presence under this difficulty by difficulty 〉=3 hours/every 24 hours.
Multi-platform video consultation module, can operate in the large, medium and small equipment that computing capability is arranged of class Unix, MacOS, Android, Windows Phone etc. such as Windows, Linux by same function.The consulting of this video allows in many ways video and voice dialogue simultaneously, and wherein: voice use G711 and Speex compression algorithm, in computing, can differ from and network facility environment preferably, uses G711.Otherwise use Speex compression transmission; Video is adopted total image support and is changed pixel, Motion JPEG, three kinds of auto-negotiation algorithms of H264; Automatically use the transmission of change detecting pixel technique when the very poor equipment of operational capability is arranged in room, this algorithm complex is minimum.
This algorithm becomes some with picture breakdown, then the previous frame image that is transmitted being carried out piece changes relatively, when finding that variation exists, pixel value and this area image of upper frame are carried out Pixel-level XOR (to strengthen the ratio of compression) then continue next piece of comparison, until all change piece, all arrange out and use the DEFLATE compression algorithm and be transferred to the decompress(ion) and to cover the respective change of active user's image regional again of other user room in.
Can hardware enough the decode environment of JPEG of decoding or processor use Motion JPEG transmission, can guarantee the wireless network that packet does not guarantee, as long as environment such as mobile telephone network GPRS, 3G receives any frame, just can directly show image and need not to keep whole stream and front and back frame.
, in the situation that multi-party network and hardware are all enough kept, use more smooth approximate H264 image algorithm.
The visual interactive TV is the law Site Service window image product that I take charge of new wound.
Dispose industrial use LCDs and minisize pick-up head, self-contained battery, size can customize according to occasion, can settle (hang, paste, prop up) at any metope, desktop, window.
The camera of this TV configuration can catch and respond to the Quick Response Code on the VIP service card that my department offers the client, and then Direct Recognition client identity and launch related context so that the continuity service to be provided, if continuable service is not yet arranged enters the video consultation process and client's dialogue.This TV disposes ARM framework processor and memory and wireless module, can move Android system and the multi-platform video consulting system of customization.When not triggering business, the content of by place providers such as gardens, being presided over, content of multimedia such as notice, advertisement will be shown.
Adopted the system and method for realizing the Streaming Media expert service Network Based of this invention, its system comprises a plurality of clients that are connected in network, a plurality of expert end and server.after user end to server sends the streaming media service request, the relevance order module of server is according to the degree of association between expert's specialty descriptor of storing in the keyword message in the streaming media service request or out of Memory and expert database, generate preferential expert's terminal sequence of degree of association height, then server is set up the streaming media service of this client and selected expert end according to priority, thereby utilize system and method for the present invention, can make the client user find easily most suitable expert, and the system and method for realizing the Streaming Media expert service Network Based of the present invention, efficiency is high, implementation method is quick, convenient, application cost is lower, range of application is also quite extensive.
In this specification, the present invention is described with reference to its specific embodiment.But, still can make various modifications and conversion obviously and not deviate from the spirit and scope of the present invention.Therefore, specification and accompanying drawing are regarded in an illustrative, rather than a restrictive.
Claims (9)
1. a system that realizes the Streaming Media expert service Network Based, is characterized in that, described system comprises:
A plurality of clients, all be connected in network,, in order to send the streaming media service request, gathers also video, audio frequency and the Word message of transmission client, and from network, obtain to show after the network information;
A plurality of expert's ends, all be connected in network, in order to and at least one described client between set up streaming media service, collection and video, audio frequency and the Word message held to the described client transmissions expert who sets up streaming media service by network, and show described video, audio frequency and the Word message of setting up the client of streaming media service;
Server, be connected in network, and by network, connect respectively described each client and expert's end, receive the streaming media service request that described client is sent, determine to set up the priority of streaming media service according to the relevance between streaming media service request and each described expert end, according to described priority, set up the streaming media service of client between holding with the expert.
2. the system that realizes the Streaming Media expert service Network Based according to claim 1, is characterized in that, described server comprises:
Expert database, in order to store described each expert's client information, described expert's client information comprises that expert's specialty descriptor and expert hold presence information;
Streaming media service requirement analysis module, the streaming media service request of in order to receive described client, sending, and analyze user profile and the keyword message that extracts in described streaming media service request;
The relevance order module,, according to the degree of association between described keyword message and described expert specialty descriptor, generate preferential expert's terminal sequence of degree of association height;
Control module is set up in streaming media service, holds at least one expert's end of presence Information Selection to be selected expert's end according to described expert's terminal sequence and described expert, and sets up the streaming media service between client and selected expert end.
3. the system that realizes the Streaming Media expert service Network Based according to claim 2, it is characterized in that, described relevance order module comprises Feature Words database and semantic degree of approximation computing unit, described Feature Words database stores a plurality of and described expert's specialty descriptor meaning of a word to related Feature Words, and store degree of association information between each Feature Words and described expert specialty descriptor, described semantic degree of approximation computing unit calculates in order to the semantic degree of approximation between described keyword message and described expert specialty descriptor, obtain expert's specialty descriptor of each expert's end and the semantic degree of approximation numerical value between keyword message, and according to semantic degree of approximation numerical ordering, generate preferential expert's terminal sequence of degree of association height.
4. the system that realizes the Streaming Media expert service Network Based according to claim 2, it is characterized in that, described expert's specialty descriptor comprises expert's category of employment information, professional degree evaluation, the evaluation of service promptness, links up affinity information, the affiliated region of expert and network presence information, and described expert database also stores user's evaluation information of described each expert's end.
5. the system that realizes the Streaming Media expert service Network Based according to claim 2, is characterized in that, described server also comprises:
The client validation control module, be used for verifying new client, and produce client-side information;
Client database, the client-side information that produces in order to store described client validation control module, and store the streaming media service request that each client is sent.
6. the system that realizes the Streaming Media expert service Network Based according to claim 1, is characterized in that, described client is one or more in computer, panel computer, mobile phone, IPTV terminal, Digital Television and personal digital assistant; Described expert's end is one or more in computer, panel computer, mobile phone, IPTV terminal, Digital Television and personal digital assistant.
7. one kind is utilized the system claimed in claim 1 method that realizes the Streaming Media expert service Network Based, it is characterized in that, described method comprises the following steps:
(1) described client is sent the streaming media service request to described server;
(2) described server determines to set up the priority of streaming media service according to the relevance between described streaming media service request and each described expert's end;
(3) described server selects at least one expert's end to be selected expert's end according to the described priority of setting up streaming media service;
(4) described server is set up the streaming media service between client and selected expert end;
(5) after finishing streaming media service, client sends expert opinion information to described server;
(6) described server stores described expert opinion information the user evaluation information of expert database as corresponding expert's end into.
8. the method that realizes the Streaming Media expert service Network Based according to claim 7, is characterized in that, described server comprises that expert database, streaming media service requirement analysis module, relevance order module and streaming media service set up control module; Described step (2) specifically comprises the following steps:
(21) described streaming media service requirement analysis module receives the streaming media service request that client is sent, and analyzes user profile and the keyword message that extracts in described streaming media service request;
(22) described relevance order module is according to the degree of association between the expert that stores in described keyword message and described expert database specialty descriptor, generates preferential expert's terminal sequence of degree of association height.
9. the method that realizes the Streaming Media expert service Network Based according to claim 8, it is characterized in that, described relevance order module comprises semantic degree of approximation computing unit and Feature Words database, described Feature Words database stores a plurality of and described expert's specialty descriptor meaning of a word to related Feature Words, and store degree of association information between each Feature Words and described expert specialty descriptor, described step (22) specifically comprises the following steps:
(22-1) Feature Words that conforms to described keyword message at described Feature Words database lookup of described relevance order module;
(22-2) described semantic degree of approximation computing unit is according to the degree of association information calculating keyword message between the Feature Words that finds and expert's specialty descriptor and the degree of association between described expert specialty descriptor;
(22-3) described semantic degree of approximation computing unit generates preferential expert's terminal sequence of degree of association height according to the degree of association between described keyword message and described expert specialty descriptor.
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| CN105376409A (en) * | 2015-11-24 | 2016-03-02 | 上海师范大学 | Mobile phone terminal based piano tuning system |
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| CN111095305A (en) * | 2017-05-21 | 2020-05-01 | 舒辅医疗 | System and method for providing internet-based expert service |
| CN111095305B (en) * | 2017-05-21 | 2023-11-03 | 舒辅医疗 | System and method for providing internet-based expert service |
| WO2019085620A1 (en) * | 2017-10-31 | 2019-05-09 | 深圳市宇数科技有限公司 | Data exploration consulting method and system, electronic device, and storage medium |
| CN110381381A (en) * | 2019-06-21 | 2019-10-25 | 深圳市轱辘汽车维修技术有限公司 | A kind of video method for customizing, video customizing device and electronic equipment |
| CN114866573A (en) * | 2022-03-24 | 2022-08-05 | 上海交通大学 | Multi-port experiment system for expert online matching |
| CN114866573B (en) * | 2022-03-24 | 2024-02-06 | 上海交通大学 | Expert on-line matching multi-port experimental system |
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