CN106446261B - Content searching method and device based on multi-platform interface - Google Patents
Content searching method and device based on multi-platform interface Download PDFInfo
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- CN106446261B CN106446261B CN201610903440.7A CN201610903440A CN106446261B CN 106446261 B CN106446261 B CN 106446261B CN 201610903440 A CN201610903440 A CN 201610903440A CN 106446261 B CN106446261 B CN 106446261B
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention provides a content searching method based on a multi-platform interface, which comprises the following steps: acquiring characteristic information of content to be searched; searching a platform interface corresponding to the characteristic information of the content according to the corresponding relation between the characteristic information and the platform interface; and searching data matched with the content according to the searched platform interface. The method and the device can quickly and effectively forward the content to be searched to the platform interface, are favorable for saving the resources of a server system, and improve the effectiveness and the precision of the matching result according to the preset platform interface.
Description
Technical Field
The invention belongs to the field of search, and particularly relates to a content search method and device based on a multi-platform interface.
Background
A learning machine is an electronic product that assists a user in learning. A learning machine typically has a large amount of learning resources stored therein. The learning machine outputs the learning resources through the display screen or the loudspeaker according to a certain interaction mode, so that the learning machine can better help a user to understand or master the learning content.
In order to help users improve the efficiency of doing questions, current learning machines usually have a search function. After a picture comprising topic contents is shot through a camera of the learning machine, the topic contents in the picture are identified, and data matched with the contents are searched in a plurality of platforms according to the identified contents. For example, the matched data is directly obtained through a third-party platform, or the data is transferred to a teacher answering platform, so that a teacher finishes answers through answering, or corresponding answers are obtained through discussion exchange of users in a learning community.
The existing content searching method can match a plurality of answers according to data provided by a plurality of platforms, and a user can select satisfactory data. However, since the identified content needs to be forwarded to a plurality of different interfaces, the forwarding between the interfaces will increase the load of the server, and the accuracy of the searched content is not high.
Disclosure of Invention
The invention aims to provide a content searching method based on multiple platform interfaces, which aims to solve the problems that in the prior art, due to the fact that recognized content needs to be forwarded to multiple different interfaces, the load of a server is increased due to the forwarding between the interfaces, and the accuracy of searched content is not high.
In a first aspect, an embodiment of the present invention provides a content search method based on a multi-platform interface, where the method includes:
acquiring characteristic information of content to be searched;
searching a platform interface corresponding to the characteristic information of the content according to the corresponding relation between the characteristic information and the platform interface;
and searching data matched with the content according to the searched platform interface.
With reference to the first aspect, in a first possible implementation manner of the first aspect, before the step of searching for data matching the content according to the searched platform interface, the method further includes:
acquiring preference data of a user for a platform interface;
and further searching the corresponding platform interface in the platform interface corresponding to the characteristic information of the content according to the preference data of the user to the platform interface.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the step of searching for a platform interface corresponding to the feature information of the content according to a corresponding relationship between the feature information and the platform interface specifically includes:
acquiring keywords included in the content to be searched and weights of different platform interfaces corresponding to the keywords;
and calculating the matching degree value of the content to be searched and each platform interface according to the keywords and the corresponding weights of different platform interfaces.
With reference to the first aspect, in a third possible implementation manner of the first aspect, before the step of searching for a platform interface corresponding to the feature information of the content according to the corresponding relationship between the feature information and the platform interface, the method further includes:
recording the corresponding relation between the content and the platform interface selected by the user, correcting the corresponding relation between the characteristic information and the platform interface according to the content including the keywords, and correcting the preference data of the user to the platform interface.
With reference to the first aspect, in a fourth possible implementation manner of the first aspect, before the step of searching for data matching with the content according to the searched platform interface, the method further includes:
and sequencing the searched platform interfaces according to the response speeds of different platform interfaces.
In a second aspect, an embodiment of the present invention provides a content search apparatus based on a multi-platform interface, where the apparatus includes:
a characteristic information acquisition unit for acquiring characteristic information of a content to be searched;
the first searching unit is used for searching the platform interface corresponding to the characteristic information of the content according to the corresponding relation between the characteristic information and the platform interface;
and the data matching unit is used for searching the data matched with the content according to the searched platform interface.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the apparatus further includes:
the preference data acquisition unit is used for acquiring preference data of a user for the platform interface;
and the second searching unit is used for further searching the corresponding platform interface in the platform interface corresponding to the characteristic information of the content according to the preference data of the user to the platform interface.
With reference to the second aspect, in a second possible implementation manner of the second aspect, the first searching unit includes:
the keyword acquisition subunit is used for acquiring keywords included in the content to be searched and weights of different platform interfaces corresponding to the keywords;
and the matching degree value calculating subunit is used for calculating the matching degree value of the content to be searched and each platform interface according to the keywords and the corresponding weights of different platform interfaces.
With reference to the second aspect, in a third possible implementation manner of the second aspect, the apparatus further includes:
and the correction unit is used for recording the corresponding relation between the content and the platform interface selected by the user, correcting the corresponding relation between the characteristic information and the platform interface according to the keyword included in the content, and correcting the preference data of the user to the platform interface.
With reference to the second aspect, in a fourth possible implementation manner of the second aspect, the apparatus further includes:
and the sequencing unit is used for sequencing the searched platform interfaces according to the response speeds of different platform interfaces.
According to the invention, according to the acquired characteristic information of the content to be searched, the platform interface corresponding to the characteristic information of the content to be searched can be searched by combining the preset corresponding relation between the characteristic information and the platform interface, and the content to be searched is sent to the platform interface for matching and searching of related data, so that the content to be searched can be quickly and effectively forwarded to the platform interface, the server system resource is saved, and the effectiveness and the precision of a matching result are improved according to the preset platform interface.
Drawings
Fig. 1 is a flowchart of an implementation of a content search method based on a multi-platform interface according to a first embodiment of the present invention;
FIG. 2 is a flowchart of an implementation of a content search method based on a multi-platform interface according to a second embodiment of the present invention;
FIG. 3 is a flowchart of an implementation of a content search method based on a multi-platform interface according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a content search apparatus based on a multi-platform interface according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention aims to provide a content searching method based on multiple platform interfaces, which aims to solve the problem that in the prior art, in the process of searching and matching content, for example, in the process of searching and matching a topic, the topic to be searched needs to be sent to different platform interfaces, matched data is returned through the multiple platform interfaces and is used for further selecting and confirming the returned matched data, and thus the matched data needed by the content to be searched is obtained. The multi-platform interface forwarding and returning mode can realize matching of contents to be searched, but more resources are consumed for server forwarding, and the validity of matched data is not high. The invention will be further described with reference to the accompanying drawings.
The first embodiment is as follows:
fig. 1 shows an implementation flow of a content search method based on a multi-platform interface according to a first embodiment of the present invention, which is detailed as follows:
in step S101, feature information of content to be searched is acquired;
specifically, the content to be searched in the embodiment of the present invention may include contents such as a title that a user needs to search. In the learning machine, the content to be searched may be text content included in an image acquired by the learning machine through a camera. According to the preset identification parameters, character identification can be carried out on partial areas or all areas in the acquired image, and the identification result is sent to the server for searching. Of course, the character recognition of the image may also be completed by the server, and the image to be recognized is received by the server.
The feature information of the content may include keywords of the content, and may also include keywords of the content, and corresponding weights of the keywords for the platform interfaces.
When the feature information is a keyword, the keyword corresponding to different keywords can be preset in different platform interfaces, the keyword included in the content to be identified is compared with the keyword corresponding to different platform interfaces, when the keyword included in the content to be searched is the most keyword, the platform interface is the most relevant platform interface, the content to be searched is preferentially forwarded to the platform interface, and therefore a more accurate and effective matching result can be obtained.
When the feature information is a keyword and weights of the keyword relative to different platform interfaces, for example, the content to be searched includes the keyword a, the weight of the keyword relative to the first platform interface is 0.8, and the weight of the keyword relative to the second platform interface is 0.3, then when the calculation is performed according to the keyword and the corresponding weight, the correlation between the keyword and the first platform interface is higher. Similarly, when the content to be searched comprises a plurality of keywords, the relevance between the content to be searched and the platform interface can be determined by summing the weight values of the keywords.
The characteristic information can be obtained by presetting a characteristic information library, and comparing the content to be searched with the characteristic information library, so that the characteristic information included in the content to be searched can be determined. Of course, the library of feature information may be updated and maintained according to the usage process of the user.
In step S102, a platform interface corresponding to the feature information of the content is searched according to the corresponding relationship between the feature information and the platform interface.
Specifically, the embodiment of the present invention presets the corresponding relationship between the feature information and the platform interface, and when the content to be searched includes the feature information, the platform interface matched with the feature information can be found relatively quickly.
The corresponding relation between the characteristic information and the platform interface can be stored in advance, or when a plurality of matching results are returned in a mode that the response speed and the accuracy of the user are not high, the selection data of the user for the results are recorded, and the corresponding relation between the characteristic information and the platform interface is correspondingly updated according to the selection data of the user.
The platform interfaces corresponding to the searched feature information can be sorted according to the degree of correlation in the corresponding relationship, one or two platform interfaces with higher degree of correlation are preferentially selected, and the content to be searched is forwarded to the platform interfaces, so that matched data with higher degree of correlation with the user can be returned.
In step S103, data matching the content is searched according to the searched platform interface.
And forwarding the content to be searched to the platform interface according to the platform interface searched in the step S102 so as to obtain a result matched with the content to be searched.
Compared with the prior art, the server in the embodiment of the invention has less times of forwarding the data of the platform interface, and has stronger forwarding pertinence, so that the platform interface with higher correlation can acquire the content to be searched more timely, thereby being beneficial to reducing the load of the server and simultaneously being beneficial to finding effective matching data more quickly.
Example two:
fig. 2 shows an implementation flow of the content search method based on the multi-platform interface according to the second embodiment of the present invention, which is detailed as follows:
in step S201, feature information of content to be searched is acquired;
in step S202, a platform interface corresponding to the feature information of the content is searched according to the corresponding relationship between the feature information and the platform interface.
Steps S201 to S202 are substantially the same as steps S101 to S102 in the first embodiment, and are not repeated herein.
In step S203, preference data of the user for the platform interface is acquired.
Specifically, the preference data described in the embodiment of the present invention may be based on the preference data for different platform interfaces input by the user. For example, the user may have a preference value of 0.5 for the first platform interface, 0.6 for the second platform interface, and 0.7 for the third platform interface.
The preference data may also be counted and updated according to the behavior data of the user, for example, the preference data may be updated according to the same result returned by the user, the number of times of the selected platform interface, or the attention degree value of the user to data of different platform interfaces.
In step S204, in the platform interface corresponding to the feature information of the content, according to the preference data of the user for the platform interface, the corresponding platform interface is further searched.
On the basis of the platform interfaces corresponding to the characteristic information, for example, a plurality of platform interfaces (for example, a platform interface sequence) corresponding to the characteristic information are provided, the platforms can be further optimized and ranked according to preference data of a user on the platform interfaces through the method, and therefore matching of the content to be searched is performed according to the further optimized platform interfaces.
In step S205, data matching the content is searched according to the searched platform interface.
The embodiment of the invention is different from the first embodiment in that the embodiment of the invention further comprises the statistics and the correction of preference data of a user, and the selection of the platform interface is better optimized, so that a matching result with higher correlation can be obtained.
Example three:
fig. 3 shows an implementation flow of the content search method based on a multi-platform interface according to the third embodiment of the present invention, which is detailed as follows:
in step S301, feature information of content to be searched is acquired;
in step S302, a platform interface corresponding to the feature information of the content is searched according to the corresponding relationship between the feature information and the platform interface;
steps S301 to S302 are substantially the same as steps S101 to S102 in the first embodiment, and are not repeated herein.
In step S303, the searched platform interfaces are sorted according to the response speeds of the different platform interfaces.
The difference from the first embodiment is that the embodiment of the present invention further includes counting and updating the response speed of the platform interface.
The response speed of the platform interface can be determined by combining parameters such as time factors of the response speed, network states and the like. Or may be determined based on historical statistics.
For the searched platform interfaces, sorting can be performed according to the size of the relevance values. The sequence can be optimized for the platform interface arranged at the front by further combining the response speed of the platform interface.
For example, a first correlation value may be calculated according to the feature information, and a sequence of the integrated platform interface may be obtained by combining a weight corresponding to the platform response speed. And performing content matching according to the optimal platform interface in the comprehensive platform interface sequence.
In step S304, data matching the content is searched according to the searched platform interface.
On the basis of the first embodiment, the embodiment of the invention further combines the content response speed to search the platform interface, so that the accuracy of the matched data is high, and the matching response speed is high.
Of course, the response speed parameter described in the embodiment of the present invention may also be combined with the preference data of the user in the second embodiment to generate a matching result that meets the preference of the user, has a fast response speed, and has a high accuracy.
Example four:
fig. 4 shows a flow of implementing the content search apparatus based on multi-platform interface according to the fourth embodiment of the present invention, which is detailed as follows:
the content searching device based on the multi-platform interface in the embodiment of the invention comprises:
a feature information acquisition unit 401 configured to acquire feature information of content to be searched;
a first searching unit 402, configured to search, according to a correspondence between feature information and a platform interface, a platform interface corresponding to the feature information of the content;
and a data matching unit 403, configured to search for data matching with the content according to the searched platform interface.
Preferably, the apparatus further comprises:
the preference data acquisition unit is used for acquiring preference data of a user for the platform interface;
and the second searching unit is used for further searching the corresponding platform interface in the platform interface corresponding to the characteristic information of the content according to the preference data of the user to the platform interface.
Preferably, the first search unit includes:
the keyword acquisition subunit is used for acquiring keywords included in the content to be searched and weights of different platform interfaces corresponding to the keywords;
and the matching degree value calculating subunit is used for calculating the matching degree value of the content to be searched and each platform interface according to the keywords and the corresponding weights of different platform interfaces.
Preferably, the apparatus further comprises:
and the correction unit is used for recording the corresponding relation between the content and the platform interface selected by the user, correcting the corresponding relation between the characteristic information and the platform interface according to the keyword included in the content, and correcting the preference data of the user to the platform interface.
Preferably, the apparatus further comprises:
and the sequencing unit is used for sequencing the searched platform interfaces according to the response speeds of different platform interfaces.
The content search device based on the multi-platform interface according to the embodiment of the present invention corresponds to the content search method based on the multi-platform interface according to the first to third embodiments, and will not be repeated herein.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A content searching method based on a multi-platform interface is characterized by comprising the following steps:
acquiring characteristic information of content to be searched; the characteristic information of the content comprises keywords of the content and corresponding weights of the keywords to the platform interface;
according to the corresponding relation between the characteristic information and the platform interface, searching the platform interface corresponding to the characteristic information of the content, specifically: when the characteristic information of the content comprises a keyword, calculating the correlation between the content to be searched and the platform interface according to the weight values respectively corresponding to the keyword and the plurality of platform interfaces; when the feature information of the content comprises a plurality of keywords, summing the corresponding weights of the keywords to the platform interfaces to calculate the correlation degree of the content to be searched and the platform interfaces, sorting the platform interfaces according to the correlation degree, and selecting one or two platform interfaces with the highest correlation degree;
acquiring preference data of a user for a platform interface;
in the platform interface corresponding to the characteristic information of the content, further searching the corresponding platform interface according to the preference data of the user for the platform interface;
and searching data matched with the content according to the searched platform interface.
2. The method according to claim 1, wherein the step of searching for the platform interface corresponding to the feature information of the content according to the correspondence between the feature information and the platform interface specifically includes:
acquiring keywords included in the content to be searched and weights of different platform interfaces corresponding to the keywords;
and calculating the matching degree value of the content to be searched and each platform interface according to the keywords and the corresponding weights of different platform interfaces.
3. The method according to claim 1, wherein before the step of searching for the platform interface corresponding to the feature information of the content according to the correspondence between the feature information and the platform interface, the method further comprises:
recording the corresponding relation between the content and the platform interface selected by the user, correcting the corresponding relation between the characteristic information and the platform interface according to the content including the keywords, and correcting the preference data of the user to the platform interface.
4. The method of claim 1, wherein before the step of searching for data matching the content according to the searched platform interface, the method further comprises:
and sequencing the searched platform interfaces according to the response speeds of different platform interfaces.
5. An apparatus for searching contents based on a multi-platform interface, the apparatus comprising:
a characteristic information acquisition unit for acquiring characteristic information of a content to be searched; the characteristic information of the content comprises keywords of the content and corresponding weights of the keywords to the platform interface;
the first searching unit is configured to search, according to a corresponding relationship between the feature information and a platform interface, the platform interface corresponding to the feature information of the content, and specifically includes: when the characteristic information of the content comprises a keyword, calculating the correlation between the content to be searched and the platform interface according to the weight values respectively corresponding to the keyword and the plurality of platform interfaces; when the feature information of the content comprises a plurality of keywords, summing the corresponding weights of the keywords to the platform interfaces to calculate the correlation degree of the content to be searched and the platform interfaces, sorting the platform interfaces according to the correlation degree, and selecting one or two platform interfaces with the highest correlation degree;
the preference data acquisition unit is used for acquiring preference data of a user for the platform interface;
the second searching unit is used for further searching the corresponding platform interface in the platform interface corresponding to the characteristic information of the content according to the preference data of the user to the platform interface;
and the data matching unit is used for searching the data matched with the content according to the searched platform interface.
6. The apparatus of claim 5, wherein the first lookup unit comprises:
the keyword acquisition subunit is used for acquiring keywords included in the content to be searched and weights of different platform interfaces corresponding to the keywords;
and the matching degree value calculating subunit is used for calculating the matching degree value of the content to be searched and each platform interface according to the keywords and the corresponding weights of different platform interfaces.
7. The apparatus of claim 5, further comprising:
and the correction unit is used for recording the corresponding relation between the content and the platform interface selected by the user, correcting the corresponding relation between the characteristic information and the platform interface according to the keyword included in the content, and correcting the preference data of the user to the platform interface.
8. The apparatus of claim 5, further comprising:
and the sequencing unit is used for sequencing the searched platform interfaces according to the response speeds of different platform interfaces.
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