CN110069665B - Method for providing screening items, client and server - Google Patents
Method for providing screening items, client and server Download PDFInfo
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- CN110069665B CN110069665B CN201711328007.6A CN201711328007A CN110069665B CN 110069665 B CN110069665 B CN 110069665B CN 201711328007 A CN201711328007 A CN 201711328007A CN 110069665 B CN110069665 B CN 110069665B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90324—Query formulation using system suggestions
- G06F16/90328—Query formulation using system suggestions using search space presentation or visualization, e.g. category or range presentation and selection
Abstract
The embodiment of the application discloses a method for providing screening items, a client and a server, wherein the method comprises the following steps: receiving video search information input by a user, and extracting at least one search keyword from the video search information; identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type; and calling a screening item associated with the search structure, and showing the screening item to the user to receive the definition information added by the user for the video search information. According to the technical scheme, the search resources can be saved, and the user can be effectively prompted what search information should be provided.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method, a client, and a server for providing a filter item.
Background
With the continuous development of video playing websites, the number of online videos is also increasing. In order to screen out videos of interest to a user from a large number of videos, a video playing website typically provides a video search engine. Currently, a video search engine usually searches out corresponding video results according to search terms provided by a user, and displays the searched video results to the user.
However, when the search terms provided by the user are broad, the number of video results searched by the search engine is usually large. At this time, the search engine may present the user with a prompt to see whether to add further qualifying information while presenting the user with the search results. For example, a search engine may display "more current results, whether search terms are re-provided? "such a prompt message. When the user provides the updated accurate search terms again, the search engine searches again.
In the existing video search mode, a search engine can require a user to provide more accurate search terms under the condition that a search result is presented to the user once. This has the disadvantage that the results of the search engine's current search may not be helpful to the user, i.e. resources consumed in the search are wasted. In addition, the user sometimes cannot determine what search terms need to be further provided, and thus cannot continue the video search process. Thus, there is a need for a more efficient video search method.
Disclosure of Invention
The embodiment of the application aims to provide a method for providing screening items, a client and a server, which can effectively prompt a user what search information should be provided while saving search resources.
In order to achieve the above object, an embodiment of the present application provides a method for providing a screening item, including: receiving video search information input by a user, and extracting at least one search keyword from the video search information; identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type; and calling a screening item associated with the search structure, and showing the screening item to the user to receive the definition information added by the user for the video search information.
In order to achieve the above object, an embodiment of the present application further provides a client, where the client includes: the information input unit is used for receiving video search information input by a user and extracting at least one search keyword from the video search information; the search structure determining unit is used for identifying a search type corresponding to the search keyword and determining a search structure corresponding to the video search information according to the identified search type; and the screening item display unit is used for calling the screening item associated with the search structure and displaying the screening item to the user so as to receive the limitation information added by the user aiming at the video search information.
In order to achieve the above object, an embodiment of the present application further provides a method for providing a screening item, where the method includes: receiving video search information sent by a client, and extracting at least one search keyword from the video search information; identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type; when the search structure has the associated screening items, searching a preset resource library for search results matched with the search keywords, and when the number of the search results is larger than a specified number threshold value, providing the screening items associated with the search structure to the client.
In order to achieve the above object, an embodiment of the present application further provides a server, where the server includes a memory and a processor, the memory includes a computer program, and the computer program, when executed by the processor, implements the following steps: receiving video search information sent by a client, and extracting at least one search keyword from the video search information; identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type; when the search structure has the associated screening items, searching a preset resource library for search results matched with the search keywords, and when the number of the search results is larger than a specified number threshold value, providing the screening items associated with the search structure to the client.
Therefore, according to the technical scheme provided by the application, after the video search information input by the user is received, the search keywords can be extracted from the video search information. Then, according to the search type corresponding to the extracted search keyword, a search structure corresponding to the video search information input by the user can be determined. The search structure may characterize a search scope corresponding to video search information provided by a user. Different search ranges may correspond to different search results, and if there are too many search results, the user may be required to provide more accurate video search information. In the application, different screening items can be associated in advance aiming at different search structures, and the screening items can be used as the basis for providing more accurate video search information for users. Therefore, after the search structure corresponding to the video search information is determined, the filter item associated with the search structure can be called, and the filter item is displayed to the user. In this way, further user-defined information may be received. Therefore, according to the technical scheme provided by the application, what screening items are provided can be determined under the condition of only searching information according to the video input by the user. On the one hand, meaningless search results can be prevented from being provided according to wide video search information, and on the other hand, the user can be guided to provide limited information, so that the user can be effectively prompted what search information should be provided while search resources are saved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for providing screening items in an embodiment of the present application;
FIG. 2 is a schematic diagram of a user operation page in the embodiment of the present application;
FIG. 3 is a schematic interaction diagram of a client and a server according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a client according to an embodiment of the present application;
FIG. 5 is a flow chart of a method for providing a filter option in another embodiment of the present application;
fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application shall fall within the scope of protection of the present application.
The application provides a method for providing screening items, which can be applied to a client, wherein the client can be terminal equipment used by a user. For example, the client may be an electronic device such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart wearable device, and a smart television. Of course, the client may also be software running in the electronic device. For example, the client may be an update video APP (Application), an art APP, a mango TV, and the like. Referring to fig. 1, the method may include the following steps.
S11: receiving video search information input by a user, and extracting at least one search keyword from the video search information.
In this embodiment, when browsing a video playback website, a user can input video search information in a video search bar of the video playback website. The video search information may be a string of characters representing information such as program title, actor title, program genre, etc. The client may extract at least one search keyword from the video search information after receiving the input video search information.
In this embodiment, when extracting the search keyword in the video search information, the video search information may be segmented to obtain the search keyword included in the video search information. When the video search information is segmented, a preset vocabulary library can be adopted to identify the vocabulary in the video search information. In practical applications, various word segmenters can be used to segment the words of the video search information. The word segmenter may be, for example, a friso word segmenter, a Jcseg word segmenter, an MMSEG4J word segmenter, or the like. Furthermore, in order to improve the accuracy of segmenting the video search information, a word bank of the segmenter can be constructed based on the words commonly used in the video playing website, so that the result output by the segmenter can better accord with the language habit of the words in the video playing website.
S13: and identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type.
In this embodiment, after the search keyword in the video search information is extracted, the search type corresponding to the search keyword may be identified. In this embodiment, search keywords appearing in a video playback website may be clustered into a plurality of search types in advance. For example, three search types including a video genre, a video subject, and a video attribution, respectively, may be set in advance. The video category may be used to distinguish a broad category to which the video belongs, such as a movie, a tv show, a variety, an animation, and the like. The video material may then define the type of the drama representation of the video, for example, a thriller, a love, a thriller, a drama, etc. may be distinguished. The video attribution can define the video shooting place, for example, the areas of China, America, France and the like can be distinguished. Of course, in an actual application scenario, the preset search type may include a greater or lesser number. For example, the search type may also include a video capture time.
In this embodiment, each search type may be associated with a vocabulary library, and the vocabularies in the vocabulary library may all belong to the corresponding search type. For example, the vocabulary library associated with the search type of the video material may include words of horror, love, thriller, drama, and the like. In this way, after the search keyword in the video search information is extracted, the target vocabulary library where the search keyword is located can be judged, and the search type associated with the target vocabulary library is used as the search type corresponding to the search keyword. For example, the search type corresponding to the search keyword such as "tv series" may be a video genre. The search type corresponding to the search keyword such as "drama" may be a video material.
In this embodiment, for the search keywords included in the video search information, the search types corresponding to the respective search keywords may be determined, and then the search structure corresponding to the video search information may be determined according to the determined search types. Specifically, the search structure may be composed of a search type and a state of the search type in common. In the present embodiment, a plurality of target search types included in the search structure may be defined in advance. For example, three target search types including a video category, a video subject, and a video attribution may be defined in the search structure in advance. In a predefined search structure, each target search type may have an initial first state. The first state may indicate that each target search type is not provided by the video search information of the user, that is, the first state of each target search type is "empty" state in the preset search structure. Then, the search type identified according to the search keyword may be matched among the plurality of target search types defined, and a first state of the matched target search type may be modified into a second state. Wherein the second state may indicate that the corresponding target search type has been provided by the user's video search information. For example, in a preset search structure, the first states of the video type, the video subject matter and the video attribution are all 'empty' states, and after the video search information provided by the user is identified, the search keywords containing the video type and the video attribution are determined, so that the 'empty' states of the video type and the video attribution in the preset search structure can be modified into 'non-empty' states, and the obtained search structure can be represented as (video type: non-empty, video subject matter: empty, video attribution: non-empty). Finally, the search structure after the state modification can be used as the search structure corresponding to the video search information.
S15: and calling a screening item associated with the search structure, and showing the screening item to the user to receive the definition information added by the user for the video search information.
In the present embodiment, since the search type including the second state may be different in different search structures, the corresponding search range may also be different. For example, in a certain search structure, only the state of the video category is non-null, and the states of the other search types are null, so the search range corresponding to the search structure is very large. For example, a user provides only one search keyword "drama", and the search results are very numerous according to the search keyword. For another example, if the video search information provided by the user is "chinese horror movie", the states of the video type, the video subject matter, and the video attribution in the search structure corresponding to the video search information are all non-null, and the search range corresponding to the search structure is relatively small. In view of this, the screening options may be pre-correlated for different search structures. The filter term can be used to prompt the user to further enter more limited information to narrow the video search. Specifically, the search structure corresponding to the video search information may include at least one of a video category, a video subject and a video attribution, and when only the video category is included in the search structure, the user search intention is too broad and the appeal is ambiguous, so that additional filter items about the video subject and the video attribution are provided to help the user perform category segmentation on the basis of broad requirements, so as to accurately locate the video to be searched. Thus, in this case, the video subject and the video attribution may be associated screening items. When the search structure only contains the video types and the video attributions, the user search intention expresses the appeal to a certain program type in a certain region, and as the number of the certain program types in one region is still large, the video subjects can be used as the associated screening items so as to further narrow the search range. Similarly, when the search structure only contains video types and video subjects, the video attribution can be used as an associated filter item to further narrow the search.
In this embodiment, the filter term associated with the search structure may be stored in association with the search structure. Specifically, different search structures may correspond to different background numbers, and different filter items may also have unique numbers. In this way, in the client, the associated search structure and the number of the filter item may be stored by way of a key-value pair (key-value). After the search structure is determined, the screening item associated therewith may be invoked. The filter item may be displayed in a current page to present the filter item to the user. After the user views the filter item, the user can further add limited information aiming at the video search information. Referring to fig. 2, in an actual application scenario, a user inputs video search information "movie" in a search bar of a video playing website, and at this time, a client determines that a search structure corresponding to the video search information is "video category: non-null, video material: empty, video home: and if the client is not available, the client can call the associated screening items as ' video subject material ' and ' video attribution ', and the client can pop up a control of the screening item below the search bar and prompt the user to input corresponding limitation information ' so as to prompt the user to input more limitation conditions.
In this embodiment, it may also be determined whether the user needs to be presented with the screening item according to the number of actual video search results. The reason for this is that, in some cases, even if the search range corresponding to the video search information provided by the user is wide, the number of results obtained by actual search may be small, and in such a case, the user is not required to further input the definition information. In view of this, in the present embodiment, after at least one search keyword is extracted from the video search information, the search keyword may be sent to a search server to receive a number of search results for the search keyword, which are fed back by the search server. Then, when the number of the search results is greater than a specified number threshold, the client starts to identify the search type corresponding to the search keyword, and subsequently provides the analyzed filter term to the user. And when the number of the search results is less than or equal to the specified number threshold, directly requesting the search server for the search results and presenting the search results to the user. The specified number threshold may be statistically derived from the conventional video search results, and the specified number threshold may indicate that the user can browse all the video search results in a short time. Certainly, in an actual application scenario, the client may also analyze video search information input by the user to obtain a related filtering item, and then determine whether to display the filtering item to the user according to the number of search results fed back by the search server.
It should be noted that not every search structure must be associated with a filter option. The number of the search types in the second state included in some search structures is large, so that the appeal of the user can be clearly known according to the search structures, the video search range is relatively small, and at the moment, the user does not need to provide additional limited information, but the video search can be directly performed according to the search keywords extracted from the video search information. For example, the video search information provided by the user is "the Chinese love movie in 2017", the search structure corresponding to the video search information may include the video shooting time, the video attribution, the video subject and the video category, which are not empty, and the search range corresponding to the search structure is already small, so that the video search can be directly performed according to the video search information. As can be seen from the above, when the search structure has no associated filtering item, it indicates that the search range corresponding to the search structure is relatively moderate, and the search keyword may be sent to the search server, so that the search server performs video search according to the search keyword, and finally may receive the search result for the search keyword, which is fed back by the search server, and show the search result to the user.
Referring to fig. 3, in one embodiment, after the user additionally provides the definition information, the client may send the definition information and the search keyword to the search server, and receive a search result, which is fed back by the search server and corresponds to the definition information and the search keyword. In this embodiment, the search server may use the limited information and the search keyword as conditions for video search to obtain corresponding search results. After obtaining the search result, the search server may perform clustering on the search result according to the classification information of the search result to generate a video tag corresponding to the search result. In particular, when a video is stored, multiple category labels are typically associated. For example, a movie may be associated with a category label such as "china", "movie", "1985", "love", etc. When clustering search results, the search results with the same classification label in the search results can be clustered into one result cluster. Meanwhile, the same classification label of the search result in the result cluster can be used as the video label of the result cluster. In this way, when the search server feeds back the search results to the client, the video tags corresponding to the search results can be fed back together. Then, at least one video search term and a video tag corresponding to the video search term may be included in the search result. After receiving the search result, the client can display a search result page containing the search result to the user, wherein the search result page comprises video search terms clustered according to the video tags. For example, the search result page may include video search terms clustered by shooting time, and in the search result page, the video tags 1997, 1998 and 2005 may be included, and when the video tags are clicked, a pull-down menu showing names of the videos may be popped up, so that the user can click on the videos desired to be watched in the pull-down menu. In the prior art, the client usually adopts fixed video tags to cluster and display video search terms, and this display mode may result in that some of the video tags do not have corresponding video search terms. Then, by adopting the scheme of the embodiment, the video tags displayed in the search result page can be guaranteed to be obtained by clustering according to the actual video search result, so that at least one video search term exists under each video tag.
Referring to fig. 4, the present application further provides a client, including:
the information input unit is used for receiving video search information input by a user and extracting at least one search keyword from the video search information;
the search structure determining unit is used for identifying a search type corresponding to the search keyword and determining a search structure corresponding to the video search information according to the identified search type;
and the screening item display unit is used for calling the screening item associated with the search structure and displaying the screening item to the user so as to receive the limitation information added by the user aiming at the video search information.
In this embodiment, the search structure determination unit includes:
the target search type limiting module is used for pre-limiting a plurality of target search types contained in a search structure, wherein the target search types have an initial first state;
the state modification module is used for matching the identified search type in the plurality of limited target search types and modifying a first state of the matched target search type into a second state;
and the determining module is used for taking the search structure after the state modification as the search structure corresponding to the video search information.
In this embodiment, the client further includes:
the sending unit is used for sending the search keywords to a search server so as to receive the number of search results fed back by the search server and aiming at the search keywords;
the screening item triggering unit is used for identifying the search type corresponding to the search keyword when the number of the search results is greater than a specified number threshold; and when the number of the search results is smaller than or equal to the specified number threshold, requesting the search server for the search results, and displaying the search results to the user.
The application also provides a method for providing the screening items, and the method can be applied to a service server of a video playing website. Referring to fig. 5, the method may include the following steps.
S21: receiving video search information sent by a client, and extracting at least one search keyword from the video search information.
S23: and identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type.
S25: when the search structure has the associated screening items, searching a preset resource library for search results matched with the search keywords, and when the number of the search results is larger than a specified number threshold value, providing the screening items associated with the search structure to the client.
In this embodiment, after the user inputs the video search information in the client, the client may send the video search information to a server of the video playing website, and then the server determines whether to provide the corresponding screening item to the client. Specifically, the server may determine the search structure corresponding to the video search information according to the scheme described in step S13, and then further determine whether the number of search results obtained by searching according to the search keyword extracted from the video search information is greater than a specified number threshold when the search structure has an associated filtering item. If the number of the results obtained by the current search is larger than the preset number, the results obtained by the current search are more, so that the screening items associated with the search structure can be provided for the client, a user can provide more accurate search conditions, and the search scope is further narrowed.
In this embodiment, the preset repository may be a database storing video resources. The preset resource pool may be in a separate resource server, or may be in a server executing steps S21 to S25.
In this embodiment, after the user additionally provides the restriction information, the server may search again in the preset repository based on the restriction information and the search keyword to obtain the search result. After obtaining the search result, the search server may obtain classification information of the search result obtained by re-searching, and perform clustering on the search result obtained by re-searching according to the classification information to generate a cluster tag corresponding to the search result obtained by re-searching. When clustering search results, the search results with the same classification label in the search results can be clustered into one result cluster. Meanwhile, the same classification label of the search result in the result cluster can be used as the clustering label of the result cluster. In this way, when the server feeds back the search results to the client, the server can feed back the cluster labels corresponding to the search results together. In the prior art, a client typically uses a fixed cluster label to cluster and display video search terms, and this display manner may result in that some cluster labels do not have corresponding video search terms. Then, by adopting the scheme of the embodiment, the clustering labels displayed in the search result page can be obtained according to the actual video search result clustering, so that at least one video search item exists under each clustering label.
In the present embodiment, a plurality of target search types included in the search structure may be defined in advance. For example, three target search types including a video category, a video subject, and a video attribution may be defined in the search structure in advance. In a predefined search structure, each target search type may have an initial first state. The first state may indicate that each target search type is not provided by the video search information of the user, that is, the first state of each target search type is "empty" state in the preset search structure. Then, the search type identified according to the search keyword may be matched among the plurality of target search types defined, and a first state of the matched target search type may be modified into a second state. Wherein the second state may indicate that the corresponding target search type has been provided by the user's video search information. For example, in a preset search structure, the first states of the video type, the video subject matter and the video attribution are all 'empty' states, and after the video search information provided by the user is identified, the search keywords containing the video type and the video attribution are determined, so that the 'empty' states of the video type and the video attribution in the preset search structure can be modified into 'non-empty' states, and the obtained search structure can be represented as (video type: non-empty, video subject matter: empty, video attribution: non-empty). Finally, the search structure after the state modification can be used as the search structure corresponding to the video search information.
In the present embodiment, since the search type including the second state may be different in different search structures, the corresponding search range may also be different. In view of this, the screening options may be pre-correlated for different search structures. The filter term can be used to prompt the user to further enter more limited information to narrow the video search. Specifically, the search structure corresponding to the video search information may include at least one of a video category, a video subject and a video attribution, and when only the video category is included in the search structure, the user search intention is too broad and the appeal is ambiguous, so that additional filter items about the video subject and the video attribution are provided to help the user perform category segmentation on the basis of broad requirements, so as to accurately locate the video to be searched. Thus, in this case, the video subject and the video attribution may be associated screening items. When the search structure only contains the video types and the video attributions, the user search intention expresses the appeal to a certain program type in a certain region, and as the number of the certain program types in one region is still large, the video subjects can be used as the associated screening items so as to further narrow the search range. Similarly, when the search structure only contains video types and video subjects, the video attribution can be used as an associated filter item to further narrow the search.
Referring to fig. 6, the present application further provides a server, where the server includes a memory and a processor, the memory includes a computer program, and the computer program, when executed by the processor, implements the following steps:
s21: receiving video search information sent by a client, and extracting at least one search keyword from the video search information;
s23: identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type;
s25: when the search structure has the associated screening items, searching a preset resource library for search results matched with the search keywords, and when the number of the search results is larger than a specified number threshold value, providing the screening items associated with the search structure to the client.
In this embodiment, the computer program, when executed by the processor, further implements the steps of:
receiving limited information aiming at the video search information provided by the client, and searching again in the preset resource library based on the limited information and the search keyword to obtain a search result;
obtaining classification information of the searched result items obtained by searching again, and clustering the searched results obtained by searching again according to the classification information to generate clustering labels corresponding to the searched results obtained by searching again;
and sending the searching result obtained by searching again and the corresponding clustering label to the client.
In this embodiment, the memory may include a physical device for storing information, and typically, the information is digitized and then stored in a medium using an electrical, magnetic, or optical method. The memory according to this embodiment may further include: devices that store information using electrical energy, such as RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, usb disks; devices for storing information optically, such as CDs or DVDs. Of course, there are other ways of memory, such as quantum memory, graphene memory, and so forth.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth.
The specific functions implemented by the memory and the processor of the server provided in the embodiments of the present specification may be explained in comparison with the foregoing embodiments in the present specification, and can achieve the technical effects of the foregoing embodiments, and thus, no further description is provided herein.
Therefore, according to the technical scheme provided by the application, after the video search information input by the user is received, the search keywords can be extracted from the video search information. Then, according to the search type corresponding to the extracted search keyword, a search structure corresponding to the video search information input by the user can be determined. The search structure may characterize a search scope corresponding to video search information provided by a user. Different search ranges may correspond to different search results, and if there are too many search results, the user may be required to provide more accurate video search information. In the application, different screening items can be associated in advance aiming at different search structures, and the screening items can be used as the basis for providing more accurate video search information for users. Therefore, after the search structure corresponding to the video search information is determined, the filter item associated with the search structure can be called, and the filter item is displayed to the user. In this way, further user-defined information may be received. Therefore, according to the technical scheme provided by the application, what screening items are provided can be determined under the condition of only searching information according to the video input by the user. On the one hand, meaningless search results can be prevented from being provided according to wide video search information, and on the other hand, the user can be guided to provide limited information, so that the user can be effectively prompted what search information should be provided while search resources are saved.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardbyscript Description Language (vhr Description Language), and the like, which are currently used by Hardware compiler-software (Hardware Description Language-software). It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
Those skilled in the art will also appreciate that, in addition to implementing clients and servers as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the clients and servers implement logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such clients and servers may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as structures within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, both for the embodiments of the client and the server, reference may be made to the introduction of embodiments of the method described above.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
Although the present application has been described in terms of embodiments, those of ordinary skill in the art will recognize that there are numerous variations and permutations of the present application without departing from the spirit of the application, and it is intended that the appended claims encompass such variations and permutations without departing from the spirit of the application.
Claims (14)
1. A method for providing a filter item, the method comprising:
receiving video search information input by a user, and extracting at least one search keyword from the video search information;
identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type;
calling a screening item associated with the search structure and showing the screening item to the user to receive the definition information added by the user for the video search information;
the search structure corresponding to the video search information comprises at least one of a video type, a video subject and a video attribution; accordingly, the filter terms associated with the search structure are determined as follows:
when only the video types are contained in the search structure, taking the video subject and the video attribution as associated screening items;
when only the video category and the video attribution are contained in the search structure, taking the video subject as an associated screening item;
and when only the video category and the video subject are contained in the search structure, the video attribution is taken as an associated screening item.
2. The method of claim 1, wherein the search type is associated with a vocabulary library; accordingly, identifying the search type corresponding to the search keyword includes:
and judging a target vocabulary library where the search keyword is located, and taking the search type associated with the target vocabulary library as the search type corresponding to the search keyword.
3. The method of claim 1, wherein determining the search structure corresponding to the video search information according to the identified search type comprises:
pre-defining a plurality of target search types contained in a search structure, wherein the target search types have an initial first state;
matching the identified search type in the plurality of limited target search types, and modifying a first state of the matched target search type into a second state;
and taking the search structure after the state modification as a search structure corresponding to the video search information.
4. The method of claim 1, wherein after extracting at least one search keyword from the video search information, the method further comprises:
sending the search keywords to a search server to receive the number of search results fed back by the search server and aiming at the search keywords;
correspondingly, when the number of the search results is greater than a specified number threshold, identifying the search type corresponding to the search keyword; and when the number of the search results is smaller than or equal to the specified number threshold, requesting the search server for the search results, and displaying the search results to the user.
5. The method of claim 1, wherein when the search structure does not have an associated screening item, the method further comprises:
sending the search keyword to a search server to receive a search result fed back by the search server and aiming at the search keyword;
and displaying the search result to the user.
6. The method of claim 1, wherein after receiving the definition information added by the user for the video search information, the method further comprises:
sending the limited information and the search keywords to a search server, and receiving a search result which is fed back by the search server and conforms to the limited information and the search keywords; the search result comprises at least one video search term and a video tag corresponding to the video search term;
and displaying a search result page containing the search result to a user, wherein the search result page comprises video search terms clustered according to video tags.
7. A client, the client comprising:
the information input unit is used for receiving video search information input by a user and extracting at least one search keyword from the video search information;
the search structure determining unit is used for identifying a search type corresponding to the search keyword and determining a search structure corresponding to the video search information according to the identified search type;
the screening item display unit is used for calling the screening item associated with the search structure and displaying the screening item to the user so as to receive the limitation information added by the user for the video search information;
the search structure corresponding to the video search information comprises at least one of a video type, a video subject and a video attribution; accordingly, the filter terms associated with the search structure are determined as follows:
when only the video types are contained in the search structure, taking the video subject and the video attribution as associated screening items;
when only the video category and the video attribution are contained in the search structure, taking the video subject as an associated screening item;
and when only the video category and the video subject are contained in the search structure, the video attribution is taken as an associated screening item.
8. The client according to claim 7, wherein the search structure determining unit comprises:
the target search type limiting module is used for pre-limiting a plurality of target search types contained in a search structure, wherein the target search types have an initial first state;
the state modification module is used for matching the identified search type in the plurality of limited target search types and modifying a first state of the matched target search type into a second state;
and the determining module is used for taking the search structure after the state modification as the search structure corresponding to the video search information.
9. The client of claim 8, further comprising:
the sending unit is used for sending the search keywords to a search server so as to receive the number of search results fed back by the search server and aiming at the search keywords;
the screening item triggering unit is used for identifying the search type corresponding to the search keyword when the number of the search results is greater than a specified number threshold; and when the number of the search results is smaller than or equal to the specified number threshold, requesting the search server for the search results, and displaying the search results to the user.
10. A method for providing a filter item, the method comprising:
receiving video search information sent by a client, and extracting at least one search keyword from the video search information;
identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type;
searching a search result matched with the search keyword in a preset resource library when the search structure has the associated screening item, and providing the screening item associated with the search structure to the client when the number of the search result is greater than a specified number threshold;
the search structure corresponding to the video search information comprises at least one of a video type, a video subject and a video attribution; accordingly, the filter terms associated with the search structure are determined as follows:
when only the video types are contained in the search structure, taking the video subject and the video attribution as associated screening items;
when only the video category and the video attribution are contained in the search structure, taking the video subject as an associated screening item;
and when only the video category and the video subject are contained in the search structure, the video attribution is taken as an associated screening item.
11. The method of claim 10, wherein after providing the client with filter terms associated with the search structure, the method further comprises:
receiving limited information aiming at the video search information provided by the client, and searching again in the preset resource library based on the limited information and the search keyword to obtain a search result;
obtaining classification information of the searched result, and clustering the searched result according to the classification information to generate a clustering label corresponding to the searched result;
and sending the searching result obtained by searching again and the corresponding clustering label to the client.
12. The method of claim 10, wherein determining the search structure corresponding to the video search information according to the identified search type comprises:
pre-defining a plurality of target search types contained in a search structure, wherein the target search types have an initial first state;
matching the identified search type in the plurality of limited target search types, and modifying a first state of the matched target search type into a second state;
and taking the search structure after the state modification as a search structure corresponding to the video search information.
13. A server, characterized in that the server comprises a memory and a processor, the memory comprising a computer program which, when executed by the processor, performs the steps of:
receiving video search information sent by a client, and extracting at least one search keyword from the video search information;
identifying a search type corresponding to the search keyword, and determining a search structure corresponding to the video search information according to the identified search type;
searching a search result matched with the search keyword in a preset resource library when the search structure has the associated screening item, and providing the screening item associated with the search structure to the client when the number of the search result is greater than a specified number threshold;
the search structure corresponding to the video search information comprises at least one of a video type, a video subject and a video attribution; accordingly, the filter terms associated with the search structure are determined as follows:
when only the video types are contained in the search structure, taking the video subject and the video attribution as associated screening items;
when only the video category and the video attribution are contained in the search structure, taking the video subject as an associated screening item;
and when only the video category and the video subject are contained in the search structure, the video attribution is taken as an associated screening item.
14. The server according to claim 13, wherein the computer program, when executed by the processor, further performs the steps of:
receiving limited information aiming at the video search information provided by the client, and searching again in the preset resource library based on the limited information and the search keyword to obtain a search result;
obtaining classification information of the searched result items obtained by searching again, and clustering the searched results obtained by searching again according to the classification information to generate clustering labels corresponding to the searched results obtained by searching again;
and sending the searching result obtained by searching again and the corresponding clustering label to the client.
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