CN105630852A - Information inquiry method and server - Google Patents
Information inquiry method and server Download PDFInfo
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- CN105630852A CN105630852A CN201410712168.5A CN201410712168A CN105630852A CN 105630852 A CN105630852 A CN 105630852A CN 201410712168 A CN201410712168 A CN 201410712168A CN 105630852 A CN105630852 A CN 105630852A
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Abstract
The invention discloses an information inquiry method and a server, relates to the field of the information technology, mainly aims to accurately position a required technical expert, and can quickly solve problems when a user needs to seek help if problems happen. The main technical scheme of the information inquiry method comprises the following steps: a server receives professional help service request information sent from a user side, wherein the request information comprises the keyword of professional help; obtaining professional help experts associated with the keyword and the attribute information and the state information of the professional help experts; according to the attribute information and the state information, obtaining the matching degrees of the professional help experts and the keyword; and according to the descending order of the matching degrees, sorting the professional help experts, and sending the sorted expert information to a user side. The information inquiry method is mainly applied to a process that the information of the professional help experts inquired.
Description
Technical field
The present invention relates to areas of information technology, particularly relate to method and the server of a kind of information inquiry.
Background technology
Along with popularizing of each art of current information-intensive society so that magnanimity information is widely used in increasing place, in order to better utilize these information, the accuracy of information inquiry is had higher requirement. Such as, for settlement computer, blue screen occurs at present, slow and the problem such as mobile phone upgrade, the unblock numerous each technical fields of offer technical specialist is provided. When computer or mobile phone break down, user can to corresponding technical specialist's emergency, when obtaining corresponding technical specialist, often obtain a lot of expert infos of many relevant specialities, but the problem which expert can accurately and quickly solve user, user is made to have no way of selecting, can only again according to the introduction artificial screening again of the expert obtained. This kind of mode can accurately not position the technical specialist of needs so that user goes wrong when needing to cry for help, process of having no way of doing it, it is impossible to quickly solve very much.
Summary of the invention
In view of this, the embodiment of the present invention provides method and the server of a kind of information inquiry, and main purpose is in that to position accurately the technical specialist of needs so that user goes wrong when needing to cry for help, it is possible to very quickly solve problem.
According to one aspect of the invention, it is provided that a kind of method of information inquiry, including:
Server receives the specialty help service request information that user side sends, and comprises the keyword of specialty help in described solicited message;
Obtain the specialty relevant to described keyword and help expert, and described specialty helps attribute information and the status information of expert;
According to described attribute information and state information acquisition, specialty helps the matching degree of expert and described keyword;
Help expert to be ranked up described specialty according to matching degree order from high in the end, the expert info after sequence is sent to described user side.
According to another aspect of the present invention, it is provided that a kind of server, including:
Receiving unit, the specialty sent for receiving user side helps service request information, comprises the keyword of specialty help in described solicited message;
First acquiring unit, for obtaining and receiving the relevant specialty of described keyword that unit receives and help expert, and the attribute information of described specialty help expert and status information;
Second acquisition unit, specialty described in the described attribute information obtained according to described first acquiring unit and state information acquisition helps the matching degree of expert and described keyword;
Transmitting element, is used for the order from high in the end of the matching degree according to second acquisition unit acquisition and helps expert to be ranked up described specialty, the expert info after sequence is sent to described user side.
By technique scheme, a kind of information query method provided by the invention and server, when specialty helps the information of expert inquire about, first server receives the specialty help service request information that user side sends, relevant specialty help expert can be obtained by solicited message comprises the keyword of specialty help, and specialty helps attribute information and the status information of expert, the matching degree of expert and keyword is helped further according to attribute information and state information acquisition specialty, expert is helped to be ranked up specialty according to matching degree order from high in the end, expert info after sequence is sent to user side. whole information inquiry process performs automatically, with prior art needs compared with the mode of artificial screening quick, accurate.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, and can be practiced according to the content of description, and in order to above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit those of ordinary skill in the art be will be clear from understanding. Accompanying drawing is only for illustrating the purpose of preferred implementation, and is not considered as limitation of the present invention. And in whole accompanying drawing, it is denoted by the same reference numerals identical parts. In the accompanying drawings:
Fig. 1 illustrates the method flow diagram of a kind of information inquiry that the embodiment of the present invention provides;
Fig. 2 illustrates that the specialty that obtains that the embodiment of the present invention provides helps the attribute information of expert and the method flow diagram of status information;
Fig. 3 illustrates the attribute information of the acquisition that the embodiment of the present invention provides and the method flow diagram of state information weights value;
Fig. 4 illustrates the composition frame chart of a kind of server that the embodiment of the present invention provides;
Fig. 5 illustrates the composition frame chart of the another kind of server that the embodiment of the present invention provides;
Fig. 6 illustrates the composition frame chart of the another kind of server that the embodiment of the present invention provides;
Fig. 7 illustrates the composition frame chart of the another kind of server that the embodiment of the present invention provides;
Fig. 8 illustrates the composition frame chart of the another kind of server that the embodiment of the present invention provides;
Fig. 9 illustrates the composition frame chart of the another kind of server that the embodiment of the present invention provides.
Detailed description of the invention
It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings. Although accompanying drawing showing the exemplary embodiment of the disclosure, it being understood, however, that may be realized in various forms the disclosure and should do not limited by embodiments set forth here. On the contrary, it is provided that these embodiments are able to be best understood from the disclosure, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
The embodiment of the present invention provides a kind of method of information inquiry, as it is shown in figure 1, the method includes:
101, server receives the specialty help service request information that user side sends, and comprises the keyword of specialty help in solicited message.
Before server receives the specialty help service request information that user side sends, user side helps service request information firstly the need of to server transmission specialty, comprises the keyword that specialty helps in this solicited message. This keyword root is transmitted according to the actual demand of user, for instance, as user owing to the application of mobile phone-downloaded is too many, the internal memory taken is bigger, when seeking specialty help service, can send keyword is mobile phone problem, mobile phone acceleration, it is also possible to sending keyword is mobile phone weight reducing etc. The content that the keyword that the embodiment of the present invention provides sends is exemplary citing, and the content of concrete keyword is transmitted according to the actual demand of user, and the embodiment of the present invention does not limit.
102, obtain the specialty relevant to keyword and help expert, and specialty helps attribute information and the status information of expert.
This specialty helps the information of expert, specialty to help the attribute information of expert and status information to be saved in specialty and help in expert database, when carrying out the information inquiry that specialty helps expert, can be traveled through in this data base by the keyword that the specialty that user sends helps, and the specialty obtaining user's required specialty help relevant helps the information of expert, specialty to help attribute information and the status information of expert. May determine that the specialty relevant to keyword helps expert by this attribute information user, and obtain the essential information of relevant specialty help expert, simultaneously in order to enable to solve user's produced problem in time, save the waiting time of user, when inquiry specialty helps the information of expert, refer to specialty and help the status information of expert, to select the specialty of optimum to help expert to solve user's produced problem.
103, the matching degree of expert and keyword is helped according to attribute information and state information acquisition specialty.
The keyword helped in the specialty sent according to user helps to travel through in expert database in specialty, after needed for obtaining user, specialty helps relevant specialty to help the information of expert, the professional attribute information helping expert and status information, help the matching degree of expert and keyword according to the attribute information obtained and state information acquisition specialty, this matching degree refers to that this keyword helps the degree that matches of expert service content with this specialty. Specialty helps expert more high with the matching degree of keyword, and the arrangement of this specialty help expert is more forward.
104, help expert to be ranked up specialty according to matching degree order from high in the end, the expert info after sequence is sent to user side.
Expert is helped to be ranked up specialty according to matching degree order from high in the end, in order to be sent to the specialty of user and help the information of expert must be that the relevant speciality needed for user helps expert, user friendly selection.
In the embodiment of the present invention, when specialty helps the information of expert inquire about, first server receives the specialty help service request information that user side sends, relevant specialty help expert can be obtained by solicited message comprises the keyword of specialty help, and specialty helps attribute information and the status information of expert, the matching degree of expert and keyword is helped further according to attribute information and state information acquisition specialty, help expert to be ranked up specialty according to matching degree order from high in the end, the expert info after sequence is sent to user side. Whole information inquiry process performs automatically, with prior art needs compared with the mode of artificial screening quick, accurate.
Further, expert database is helped to realize specialty is helped the information inquiry of expert based on specialty, concrete helps expert in the specialty performing step 102 acquisition relevant to keyword, and when the attribute information of specialty help expert and status information, the embodiment of the present invention can adopt but be not limited to following method and realize, the method is as in figure 2 it is shown, include:
201, help expert database according to keyword query specialty, obtain the specialty relevant to keyword and help expert, specialty to help expert database comprises the personal information of expert, attribute information and status information.
In the embodiment of the present invention, personal information at least includes: name, sex and academic title; Attribute information includes in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index; Status information includes: idle, have a rest, busy or not online. It is exemplary only about personal information, attribute information and status information that the embodiment of the present invention provides, and this is not limited by the concrete embodiment of the present invention.
Wherein, the authentication value different weights set by the type of certification, this auth type includes: personal authentication, corporate authentication and assessment period, wherein personal authentication is the certification that specialty helps that expert is registered by individual's account and passed through, corporate authentication is the certification that specialty helps that expert is registered by enterprise account and passes through, assessment period is before by personal authentication or corporate authentication, the information that expert provides is helped to audit according to specialty, audit by rear as assessment period, assessment period domestic demand becomes personal authentication or corporate authentication after solving 50 user's produced problem, qualification is that specialty helps expert to be good at the knotty problem solving which field, wherein, qualification including, but not limited to including that mobile phone upgrade, computer card be slow, online extremely, it is also possible to include router optimization, data recovery, the system failure etc., degree of association is the keyword degree that matches with qualification of the specialty help comprised in solicited message, and matching degree is more high, and degree of association is more big, artificial index is controlled operation by server end, and server end judges that specialty helps the brush single file whether expert exists self to be that wherein brush single file is the weights including improving any one in attribute information, earnest index be user side to specialty help expert send request help time, specialty helps expert to the response rate of user, reliable index helps the quantity of expert's solved user produced problem and the contract note quantity of nearest seven days to be directly proportional to specialty, specialty helps expert to be divided into free specialty help expert and specialty of paying to help expert, and this reliable index is that paying specialty helps an attribute in expert.
Helping expert database according to keyword query specialty, obtain the specialty relevant to keyword and help expert, the specialty of this acquisition helps expert at least to include two or more expert. Such as, when keyword be data recover time, can by all of with data recovery, the relevant expert of data, recovery finds out.
202, help expert to obtain specialty according to the specialty inquired and help attribute information and the status information of expert.
After obtaining the specialty help expert relevant to keyword, help expert to obtain corresponding specialty from database table further according to specialty and help attribute information and the status information of expert, its object is to help the specialty traversed in expert database to help expert to be ranked up according to acquired attribute information and status information to from specialty, in order to user can inquire relevant speciality fast and accurately and help the information of expert.
Further, after the attribute information obtaining specialty help expert and status information, when helping the attribute information of expert and status information to go to obtain the matching degree that specialty helps expert and keyword according to the specialty obtained, it is possible to by but be not limited to following mode and realize, the method includes:
The attribute information of acquisition and status information being weighted and obtain a weighted value, using weighted value as the matching degree with keyword, weighted value is more big more high with the matching degree of keyword.
In the embodiment of the present invention, attribute information and the content comprised in status information, respectively corresponding weights, these weights pre-set, and are modifiable after the setup. Attribute information and the status information of acquisition being weighted and obtaining a weighted value, using weighted value as during with the matching degree of keyword, the embodiment of the present invention provides following method to realize, and the method is as it is shown on figure 3, the method includes:
301, the weights of the property parameters that comprises of attribute information and property parameters are obtained.
The property parameters that attribute information comprises is obtained according to keyword, this property parameters set before performing the embodiment of the present invention, and it can be in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index. after obtaining this parameter, obtain the weights that this parameter is corresponding, these weights also preset before performing the embodiment of the present invention, it is arranged according to the actual requirements when arranging, different parameters arranges the score value of different proportion, want the certification promoting mainly expert, then what can be arranged by authentication value is higher, and this is not limited by the concrete embodiment of the present invention. other parameters can arrange different weights according to different stage, such as earnest index, the difference according to earnest exponential quantity, different weights are set, earnest value is 0-50, arranging weights is 0, and earnest value is 51-70, and arranging weights is 5, earnest value is 71-80, arranging weights is 7, and earnest value is 81-100, and arranging weights is 10 etc., when arranging the weights of artificial index, when first time finds that specialty helps expert to operate himself attribute weights of relevant raising, the artificial index arranging this specialty help expert is-10, when second time finds that specialty helps expert to operate the relevant attribute weights improving himself, arranging the artificial index of this specialty help expert is-30 etc. matching degree according to keyword Yu qualification arranges the weights of qualification, exemplary, when keyword is data recovery, recover according to key data to inquire the specialty help expert recovering relevant to data, should recover relevant specialty to data helps expert can also include and data, data update, the relevant specialty of data process and system recovery etc. helps expert, when the matching degree of this keyword Yu qualification is 100%-80%, the weights arranging qualification are 100, when the matching degree of this keyword Yu qualification is 79%-50%, the weights arranging qualification are 50, when the matching degree of this keyword Yu qualification is 49%-20%, the weights arranging qualification are 30, when the matching degree of this keyword Yu qualification is 19%-1%, the weights arranging qualification are 10, when this keyword and qualification entirely without when mating, the weights arranging qualification are 0. when the contract note quantity of specialty help expert's solved user produced problem quantity and nearest seven days is more, it is big that the weights of reliable index will be arranged, when specialty helps the contract note negligible amounts of expert's solved user produced problem quantity and nearest seven days, it is little that the weights of reliable index will be arranged, can being arranged between 0-100 by the weights of reliable index, the concrete embodiment of the present invention does not limit.
302, obtain specialty and help the state of expert and the weights of state.
The specialty sent for quick feedback user helps service request information, when inquiry specialty helps expert, what often inquire is can help expert by the online professional of feedback user in time, therefore when arranging the state weights that specialty helps expert, can arrange specialty helps the status information of expert be the weights during free time to be 200, weights time not online are-100, it is therefore intended that can quickly solve user's produced problem, can save the waiting time of user simultaneously. The above-mentioned weights about state arrange exemplary only citing, and this is not limited by the concrete scope that the arranges embodiment of the present invention.
303, the weights addition of the weights of property parameters and state is obtained a weighted value.
The weights of property parameters and the weights of state are added and obtain a weighted value, these weights are more big, illustrate that user sends specialty and helps keyword in service request information and specialty to help the matching degree of expert more high, illustrates user carry out when specialty helps expert info to inquire about put in order more forward.
Further, obtaining the weights of the property parameters that comprises of attribute information and property parameters and obtaining before specialty helps the state of expert and the weights of state, the embodiment of the present invention also provides for a kind of method of information inquiry, and the method is:
The weights of the parameter that sets a property and state. The weights of this property parameters and state are that the different demands according to user carry out pre-setting, and in practical operation, the keyword in service request information can be helped to be configured according to the specialty that user sends.
Further, specialty helping to better meet user the demand of expert info inquiry, the embodiment of the present invention also provides for following method:
Readjust the weights of property parameters and state according to demand. The weights of property parameters and state are readjusted, it is therefore intended that inquire the relevant speciality needed for user more accurately and help the information of expert. Such as, specialty in order to find out presence faster helps the information of expert, when arranging the weights of status information that specialty helps expert, can arrange specialty helps the status information of expert be the weights during free time to be 1000, weights time not online are-2000, weights at other property parameters and state arrange in immovable situation, not online specialty just by the forward position of the information arrangement of online specialty help expert, and can be helped expert to be arranged in rearward position by the weights readjusting rear state. The above-mentioned exemplary only citing of weights readjusting property parameters and state according to demand, this is not limited by the concrete embodiment of the present invention.
Based on said method embodiment, the embodiment of the present invention provides a kind of server, and as shown in Figure 4, this server includes:
Receiving unit 41, the specialty sent for receiving user side helps service request information, comprises the keyword of specialty help in solicited message;
First acquiring unit 42, for obtaining and receiving the relevant specialty of keyword that unit 41 receives and help expert, and the attribute information of specialty help expert and status information;
Second acquisition unit 43, helps the matching degree of expert and keyword for the attribute information obtained according to the first acquiring unit 42 and state information acquisition specialty;
Transmitting element 44, is used for the order from high in the end of the matching degree according to second acquisition unit 43 acquisition and helps expert to be ranked up specialty, the expert info after sequence is sent to user side.
Further, as it is shown in figure 5, this first acquiring unit 42 includes:
Enquiry module 421, for helping expert database according to keyword query specialty;
First acquisition module 422, specialty for inquiring about according to enquiry module 421 helps expert database, obtain the specialty relevant to keyword and help expert, specialty helps the personal information comprising expert in expert database, attribute information and status information, after helping expert by keyword query to relevant specialty, obtain specialty again and help attribute information and the status information of expert, its object is to help the specialty traversed in expert database to help expert to be ranked up according to acquired attribute information and status information to from specialty, so that user can be quick, inquire relevant speciality accurately and help the information of expert,
Second acquisition module 423, specialty for inquiring according to enquiry module 421 helps expert to obtain specialty and helps attribute information and the status information of expert, and attribute information includes in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index;
Authentication value is whether specialty helps expert through certification, big by the authentication value after certification; Qualification is that specialty helps expert to be good at the knotty problem solving which field; Degree of association is the keyword degree that matches with qualification of the specialty help comprised in solicited message, and matching degree is more high, and degree of association is more big; Artificial index is that specialty helps the brush single file whether expert exists self to be that wherein brush single file is the weights including improving any one in attribute information; Earnest index be user side to specialty help expert send request help time, specialty helps expert to the response rate of user;
Status information includes: idle, have a rest, busy or not online.
Further, as shown in Figure 6, this second acquisition unit 43 includes:
Computing module 431, a weighted value is obtained for the attribute information of acquisition and status information being weighted, using weighted value as the matching degree with keyword, weighted value is more big more high with the matching degree of keyword, the content comprised in attribute information and status information, corresponding weights respectively, the setting of these weights is modifiable. When computation attribute information and status information are added the weights of gained, in attribute information each corresponding weights are added with the weights in status information, obtain a weighted value, the size of this weighted value is directly proportional to the matching degree of this keyword, and namely weighted value is more big more high with the matching degree of keyword.
Further, as it is shown in fig. 7, this computing module 431 includes:
First obtains submodule 4311, for obtaining the weights of property parameters that attribute information comprises and property parameters, obtains, according to keyword, the property parameters that attribute information comprises, according to whether there is the qualification of this keyword hit, arranges different size of weights;
Second obtains submodule 4312, the state of expert and the weights of state are helped for obtaining specialty, the specialty sent for quick feedback user helps service request information, when inquiry specialty helps expert, what often inquire is can help expert by the online professional of feedback user in time, therefore when arranging the state weights that specialty helps expert, can arrange specialty help the status information of expert be weights during the free time arrange big, purpose is in that quickly to solve user's produced problem, can save the waiting time of user simultaneously;
Calculating sub module 4313, weights and second for obtaining the property parameters that submodule 4311 obtains by first obtain the weights addition of the state that submodule 4312 obtains and obtain a weighted value, the weights of property parameters and the weights of state are added and obtain a weighted value, these weights are more big, illustrate that user sends specialty and helps keyword in service request information and specialty to help the matching degree of expert more high, illustrates user carry out when specialty helps expert info to inquire about put in order more forward.
Further, as shown in Figure 8, this server also includes:
Unit 45 is set, before the weights for the property parameters comprised at acquisition attribute information and property parameters, the weights of the parameter that sets a property and state.
Further, as it is shown in figure 9, this server also includes:
Adjustment unit 46, for arrange unit 45 set a property parameter and state weights after, readjust the weights of property parameters and state according to demand, the weights of property parameters and state are readjusted, it is therefore intended that inquire the relevant speciality needed for user more accurately and help the information of expert.
A kind of information query method provided by the invention and server, when specialty helps the information of expert inquire about, first server receives the specialty help service request information that user side sends, relevant specialty help expert can be obtained by solicited message comprises the keyword of specialty help, and specialty helps attribute information and the status information of expert, the matching degree of expert and keyword is helped further according to attribute information and state information acquisition specialty, expert is helped to be ranked up specialty according to matching degree order from high in the end, expert info after sequence is sent to user side. whole information inquiry process performs automatically, with prior art needs compared with the mode of artificial screening quick, accurate.
In addition, after helping expert by keyword query to relevant specialty, obtain specialty again and help attribute information and the status information of expert, its object is to help the specialty traversed in expert database to help expert to be ranked up according to acquired attribute information and status information to from specialty, in order to user can inquire relevant speciality fast and accurately and help the information of expert.
Further, the specialty sent for quick feedback user helps service request information, when inquiry specialty helps expert, what often inquire is can help expert by the online professional of feedback user in time, therefore when arranging the state weights that specialty helps expert, can arrange specialty help the status information of expert be weights during the free time arrange big, it is therefore intended that can quickly solve user's produced problem, while can save waiting time of user. Specialty in order to find out presence faster helps the information of expert simultaneously, can readjust the weights of property parameters and state according to demand, in order to user can solve user's produced problem in time.
A1, a kind of information inquiry method, including:
Server receives the specialty help service request information that user side sends, and comprises the keyword of specialty help in described solicited message;
Obtain the specialty relevant to described keyword and help expert, and described specialty helps attribute information and the status information of expert;
According to described attribute information and state information acquisition, specialty helps the matching degree of expert and described keyword;
Help expert to be ranked up described specialty according to matching degree order from high in the end, the expert info after sequence is sent to described user side.
A2, method according to claim A1, obtain the specialty relevant to described keyword and help expert, and described specialty helps the attribute information of expert and status information to include:
Help expert database according to described keyword query specialty, obtain the specialty relevant to described keyword and help expert, described specialty to help expert database comprises the personal information of expert, attribute information and status information;
Help expert to obtain described specialty according to the specialty inquired and help attribute information and the status information of expert.
A3, method according to claims A1, described specialty according to described attribute information and state information acquisition helps the matching degree of expert and described keyword to include:
The described attribute information of described acquisition and status information being weighted and obtain a weighted value, using described weighted value as the matching degree with described keyword, more big and described keyword the matching degree of weighted value is more high.
A4, method according to claim A3,
Described attribute information includes in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index;
The described authentication value different weights set by auth type, described auth type includes: personal authentication, corporate authentication and assessment period; Described qualification is that specialty helps expert to be good at the knotty problem solving which field; Described degree of association is the keyword degree that matches with described qualification of the specialty help comprised in described solicited message, and matching degree is more high, and degree of association is more big; Described artificial index is controlled operation by server end, it is judged that specialty helps the brush single file whether expert exists self to be that wherein said brush single file is the weights including improving any one in described attribute information; Described earnest index be user side to specialty help expert send request help time, specialty helps expert to the response rate of user; Described reliable index helps the quantity of expert's solved user produced problem and the contract note quantity of nearest seven days to be directly proportional to specialty;
Described status information includes: idle, have a rest, busy or not online.
A5, method according to claim A4, be weighted the described attribute information of described acquisition and status information and obtain a weighted value and include:
Obtain the weights of property parameters that described attribute information comprises and described property parameters;
Obtain described specialty and help the state of expert and the weights of described state;
The weights of the weights of described property parameters and described state are added and obtain a weighted value.
A6, method according to claim A5, it is characterised in that also included before obtaining the weights of property parameters that described attribute information comprises and described property parameters:
Described property parameters and the weights of described state are set.
A7, method according to claim A6, after arranging the weights of described property parameters and described state, also include:
Readjust described property parameters and the weights of described state according to demand.
B8, a kind of server, described server includes:
Receiving unit, the specialty sent for receiving user side helps service request information, comprises the keyword of specialty help in described solicited message;
First acquiring unit, for obtaining and receiving the relevant specialty of described keyword that unit receives and help expert, and the attribute information of described specialty help expert and status information;
Second acquisition unit, specialty described in the described attribute information obtained according to described first acquiring unit and state information acquisition helps the matching degree of expert and described keyword;
Transmitting element, is used for the order from high in the end of the matching degree according to second acquisition unit acquisition and helps expert to be ranked up described specialty, the expert info after sequence is sent to described user side.
B9, server according to claim B8, described first acquiring unit includes:
Enquiry module, for helping expert database according to described keyword query specialty;
First acquisition module, for helping expert database according to the specialty of enquiry module inquiry, obtains the specialty relevant to described keyword and helps expert, described specialty to help to comprise the personal information of expert, attribute information and status information in expert database;
Second acquisition module, the specialty for inquiring according to enquiry module helps expert to obtain described specialty and helps attribute information and the status information of expert.
B10, server according to claims B8, described second acquisition unit includes:
Computing module, for described attribute information and the status information of described acquisition being weighted and obtain a weighted value, using described weighted value as the matching degree with described keyword, more big and described keyword the matching degree of weighted value is more high.
B11, server according to claim B10,
Described attribute information includes in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index;
The described authentication value different weights set by auth type, described auth type includes: personal authentication, corporate authentication and assessment period; Described qualification is that specialty helps expert to be good at the knotty problem solving which field; Described degree of association is the keyword degree that matches with described qualification of the specialty help comprised in described solicited message, and matching degree is more high, and degree of association is more big; Described artificial index is controlled operation by server end, it is judged that specialty helps the brush single file whether expert exists self to be that wherein brush single file is the weights including improving any one in described attribute information; Described earnest index be user side to specialty help expert send request help time, specialty helps expert to the response rate of user; Described reliable index helps the quantity of expert's solved user produced problem and the contract note quantity of nearest seven days to be directly proportional to specialty;
Described status information includes: idle, have a rest, busy or not online.
B12, server according to claim B11, described computing module includes:
First obtains submodule, for obtaining the weights of property parameters that described attribute information comprises and described property parameters;
Second obtains submodule, helps the state of expert and the weights of described state for obtaining described specialty;
Calculating sub module, the weights of the described state that the weights and the second acquisition submodule for obtaining the property parameters that submodule obtains by described first obtain are added and obtain a weighted value.
B13, server according to claim B12, described server also includes:
Unit is set, before the weights for the property parameters comprised at the described attribute information of acquisition and described property parameters, described property parameters and the weights of described state are set.
B14, server according to claim B13, described server also includes:
Adjustment unit, for, after arranging unit and arrange the weights of described property parameters and described state, readjusting described property parameters and the weights of described state according to demand.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, certain embodiment there is no the part described in detail, it is possible to referring to the associated description of other embodiments.
It is understood that the correlated characteristic in said method and device can reference mutually. It addition, " first ", " second " in above-described embodiment etc. is for distinguishing each embodiment, and do not represent the quality of each embodiment.
Those skilled in the art is it can be understood that arrive, for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, it is possible to reference to the corresponding process in preceding method embodiment, do not repeat them here.
Not intrinsic to any certain computer, virtual system or miscellaneous equipment relevant in algorithm and the display of this offer. Various general-purpose systems can also with use based on together with this teaching. As described above, the structure constructed required by this kind of system is apparent from. Additionally, the present invention is also not for any certain programmed language. It is understood that, it is possible to utilize various programming language to realize the content of invention described herein, and the description above language-specific done is the preferred forms in order to disclose the present invention.
In description mentioned herein, describe a large amount of detail. It is to be appreciated, however, that embodiments of the invention can be put into practice when not having these details. In some instances, known method, structure and technology it are not shown specifically, in order to do not obscure the understanding of this description.
Similarly, it is to be understood that, one or more in order to what simplify that the disclosure helping understands in each inventive aspect, herein above in the description of the exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or descriptions thereof sometimes. But, the method for the disclosure should be construed to and reflect an intention that namely the present invention for required protection requires feature more more than the feature being expressly recited in each claim. More precisely, as the following claims reflect, inventive aspect is in that all features less than single embodiment disclosed above. Therefore, it then follows claims of detailed description of the invention are thus expressly incorporated in this detailed description of the invention, wherein each claim itself as the independent embodiment of the present invention.
Those skilled in the art are appreciated that, it is possible to carry out the module in the equipment in embodiment adaptively changing and they being arranged in one or more equipment different from this embodiment. Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition. Except at least some in such feature and/or process or unit excludes each other, it is possible to adopt any combination that all processes or the unit of all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment are combined. Unless expressly stated otherwise, each feature disclosed in this specification (including adjoint claim, summary and accompanying drawing) can be replaced by the alternative features providing purpose identical, equivalent or similar.
In addition, those skilled in the art it will be appreciated that, although embodiments more described herein include some feature included in other embodiments rather than further feature, but the combination of the feature of different embodiment means to be within the scope of the present invention and form different embodiments. Such as, in the following claims, the one of any of embodiment required for protection can mode use in any combination.
The all parts embodiment of the present invention can realize with hardware, or realizes with the software module run on one or more processor, or realizes with their combination. It will be understood by those of skill in the art that the some or all functions of some or all parts in the method for the information inquiry that microprocessor or digital signal processor (DSP) can be used in practice to realize according to embodiments of the present invention and server. The present invention is also implemented as part or all the equipment for performing method as described herein or device program (such as, computer program and computer program). The program of such present invention of realization can store on a computer-readable medium, or can have the form of one or more signal. Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.
The present invention will be described rather than limits the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment without departing from the scope of the appended claims. In the claims, any reference marks that should not will be located between bracket is configured to limitations on claims. Word " comprises " and does not exclude the presence of the element or step not arranged in the claims. Word "a" or "an" before being positioned at element does not exclude the presence of multiple such element. The present invention by means of including the hardware of some different elements and can realize by means of properly programmed computer. In the unit claim listing some devices, several in these devices can be through same hardware branch and specifically embody. Word first, second and third use do not indicate that any order. Can be title by these word explanations.
Claims (10)
1. the method for an information inquiry, it is characterised in that including:
Server receives the specialty help service request information that user side sends, and comprises the keyword of specialty help in described solicited message;
Obtain the specialty relevant to described keyword and help expert, and described specialty helps attribute information and the status information of expert;
According to described attribute information and state information acquisition, specialty helps the matching degree of expert and described keyword;
Help expert to be ranked up described specialty according to matching degree order from high in the end, the expert info after sequence is sent to described user side.
2. method according to claim 1, it is characterised in that obtain the specialty relevant to described keyword and help expert, and described specialty helps the attribute information of expert and status information to include:
Help expert database according to described keyword query specialty, obtain the specialty relevant to described keyword and help expert, described specialty to help expert database comprises the personal information of expert, attribute information and status information;
Help expert to obtain described specialty according to the specialty inquired and help attribute information and the status information of expert.
3. the method according to claims 1, it is characterised in that described specialty according to described attribute information and state information acquisition helps the matching degree of expert and described keyword to include:
The described attribute information of described acquisition and status information being weighted and obtain a weighted value, using described weighted value as the matching degree with described keyword, more big and described keyword the matching degree of weighted value is more high.
4. method according to claim 3, it is characterised in that
Described attribute information includes in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index;
The described authentication value different weights set by auth type, described auth type includes: personal authentication, corporate authentication and assessment period; Described qualification is that specialty helps expert to be good at the knotty problem solving which field; Described degree of association is the keyword degree that matches with described qualification of the specialty help comprised in described solicited message, and matching degree is more high, and degree of association is more big; Described artificial index is controlled operation by server end, it is judged that specialty helps the brush single file whether expert exists self to be that wherein said brush single file is the weights including improving any one in described attribute information; Described earnest index be user side to specialty help expert send request help time, specialty helps expert to the response rate of user; Described reliable index helps the quantity of expert's solved user produced problem and the contract note quantity of nearest seven days to be directly proportional to specialty;
Described status information includes: idle, have a rest, busy or not online.
5. method according to claim 4, it is characterised in that the described attribute information of described acquisition and status information are weighted and obtain a weighted value and include:
Obtain the weights of property parameters that described attribute information comprises and described property parameters;
Obtain described specialty and help the state of expert and the weights of described state;
The weights of the weights of described property parameters and described state are added and obtain a weighted value.
6. a server, it is characterised in that including:
Receiving unit, the specialty sent for receiving user side helps service request information, comprises the keyword of specialty help in described solicited message;
First acquiring unit, for obtaining and receiving the relevant specialty of described keyword that unit receives and help expert, and the attribute information of described specialty help expert and status information;
Second acquisition unit, specialty described in the described attribute information obtained according to described first acquiring unit and state information acquisition helps the matching degree of expert and described keyword;
Transmitting element, is used for the order from high in the end of the matching degree according to second acquisition unit acquisition and helps expert to be ranked up described specialty, the expert info after sequence is sent to described user side.
7. server according to claim 6, it is characterised in that described first acquiring unit includes:
Enquiry module, for helping expert database according to described keyword query specialty;
First acquisition module, for helping expert database according to the specialty of enquiry module inquiry, obtains the specialty relevant to described keyword and helps expert, described specialty to help to comprise the personal information of expert, attribute information and status information in expert database;
Second acquisition module, the specialty for inquiring according to enquiry module helps expert to obtain described specialty and helps attribute information and the status information of expert.
8. the server according to claims 6, it is characterised in that described second acquisition unit includes:
Computing module, for described attribute information and the status information of described acquisition being weighted and obtain a weighted value, using described weighted value as the matching degree with described keyword, more big and described keyword the matching degree of weighted value is more high.
9. server according to claim 8, it is characterised in that
Described attribute information includes in following parameter or any number of combinations: authentication value, qualification, degree of association, artificial index, earnest index and reliable index;
The described authentication value different weights set by auth type, described auth type includes: personal authentication, corporate authentication and assessment period; Described qualification is that specialty helps expert to be good at the knotty problem solving which field; Described degree of association is the keyword degree that matches with described qualification of the specialty help comprised in described solicited message, and matching degree is more high, and degree of association is more big; Described artificial index is controlled operation by server end, it is judged that specialty helps the brush single file whether expert exists self to be that wherein brush single file is the weights including improving any one in described attribute information; Described earnest index be user side to specialty help expert send request help time, specialty helps expert to the response rate of user; Described reliable index helps the quantity of expert's solved user produced problem and the contract note quantity of nearest seven days to be directly proportional to specialty;
Described status information includes: idle, have a rest, busy or not online.
10. server according to claim 9, it is characterised in that described computing module includes:
First obtains submodule, for obtaining the weights of property parameters that described attribute information comprises and described property parameters;
Second obtains submodule, helps the state of expert and the weights of described state for obtaining described specialty;
Calculating sub module, the weights of the described state that the weights and the second acquisition submodule for obtaining the property parameters that submodule obtains by described first obtain are added and obtain a weighted value.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410712168.5A CN105630852A (en) | 2014-11-28 | 2014-11-28 | Information inquiry method and server |
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| CN201410712168.5A CN105630852A (en) | 2014-11-28 | 2014-11-28 | Information inquiry method and server |
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| CN105630852A true CN105630852A (en) | 2016-06-01 |
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| CN201410712168.5A Pending CN105630852A (en) | 2014-11-28 | 2014-11-28 | Information inquiry method and server |
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