WO2020042377A1 - 用于输出信息的方法和装置 - Google Patents

用于输出信息的方法和装置 Download PDF

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Publication number
WO2020042377A1
WO2020042377A1 PCT/CN2018/115950 CN2018115950W WO2020042377A1 WO 2020042377 A1 WO2020042377 A1 WO 2020042377A1 CN 2018115950 W CN2018115950 W CN 2018115950W WO 2020042377 A1 WO2020042377 A1 WO 2020042377A1
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WIPO (PCT)
Prior art keywords
attribute information
entity
information
matching
video
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PCT/CN2018/115950
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English (en)
French (fr)
Inventor
陈大伟
刘宝
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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Publication of WO2020042377A1 publication Critical patent/WO2020042377A1/zh
Priority to US17/020,617 priority Critical patent/US20200409998A1/en
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9024—Graphs; Linked lists
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/73—Querying
    • G06F16/735—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/73—Querying
    • G06F16/738—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Definitions

  • the embodiments of the present application relate to the field of computer technology, and in particular, to a method and an apparatus for outputting information.
  • Knowledge graph is a kind of knowledge base called semantic network, that is, a knowledge base with a directed graph structure, where the nodes of the graph represent the entity (entity) or concept (concept), and the edges of the graph represent Various semantic relationships between entities / concepts.
  • An entity may have corresponding attribute information, and the attribute information may be used to characterize certain attributes of the entity (for example, attributes such as the type and storage address of the information represented by the entity).
  • the knowledge map can be applied to various fields, such as information search, information recommendation, and other fields. By using the knowledge map, other entities associated with an entity characterizing certain information can be obtained, so that other information associated with the information can be obtained more accurately.
  • the embodiments of the present application provide a method and a device for outputting information.
  • an embodiment of the present application provides a method for outputting information.
  • the method includes: receiving a search term input by a user; and performing the search term with attribute information representing a video entity in a pre-established knowledge map. Matching to determine whether a matching entity exists in the knowledge graph, where the matching entity is an entity whose corresponding attribute information matches the search term; and in response to determining that there is at least one matching entity, for the matching entity in the determined at least one matching entity, Based on the output mode selected by the user, the attribute information corresponding to the output mode is determined as the target attribute information from the attribute information of the matching entity, wherein the output mode is also used to indicate the order of the target attribute information; according to the determined target Sort order of attribute information, output relevant information of matching entities corresponding to target attribute information.
  • the attribute information of the entity includes video source information, and the video source information is used to indicate the source of the video represented by the entity.
  • the output mode is further used to indicate the source of the video; and outputting related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information, including: The corresponding video source information matches the matching entity of the source indicated by the output method, and according to the determined order of the target attribute information, the relevant information of the matching entity corresponding to the target attribute information is output.
  • the output mode corresponds to at least one piece of attribute information; and determining the attribute information corresponding to the output mode as the target attribute information includes: determining each piece of attribute information in the at least one piece of attribute information corresponding to the output mode as Target attribute information.
  • outputting related information of the matching entity corresponding to the target attribute information includes: for a matching entity in at least one matching entity, at least one piece of target attribute information for the entity Perform weighted sum calculation to obtain the calculation result; according to the arrangement order of the obtained calculation result indicated by the output mode selected by the user, output relevant information of the matching entity corresponding to the calculation result.
  • the related information of the matching entity includes at least one of the following: the title of the video represented by the matching entity, the version information of the video represented by the matching entity, the type of the video represented by the matching entity, and the relevant person of the video representing the entity. information.
  • the target attribute information includes at least one of the following: video playback volume, video rating, and video attention volume.
  • an embodiment of the present application provides an apparatus for outputting information.
  • the apparatus includes: a receiving unit configured to receive a search term input by a user; a matching unit configured to compare the search term with pre-established knowledge Match the attribute information of the entity representing the video in the atlas to determine whether there is a matching entity in the knowledge graph, where the matching entity is the entity whose corresponding attribute information matches the search term; the determining unit is configured to respond to determining the existence At least one matching entity, for the matching entities in the determined at least one matching entity, based on the output mode selected by the user, from the attribute information of the matching entity, determine attribute information corresponding to the output mode as the target attribute information, where: The output mode is also used to indicate the arrangement order of the target attribute information; the output unit is configured to output related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information.
  • the attribute information of the entity includes video source information, and the video source information is used to indicate the source of the video represented by the entity.
  • the output mode is further used to indicate the source of the video; and the output unit is further configured to: for at least one matching entity whose corresponding video source information matches the source indicated by the output mode, according to the The determined order of the target attribute information, and output related information of the matching entity corresponding to the target attribute information.
  • the output mode corresponds to at least one piece of attribute information; and the determining unit is further configured to determine each piece of attribute information in the at least one piece of attribute information corresponding to the output mode as the target attribute information.
  • the output unit includes a calculation module configured to perform weighted sum calculation on at least one piece of target attribute information of the entity for the matching entity in the at least one matching entity, and obtain a calculation result; the output module is configured According to the arrangement order of the obtained calculation results indicated by the output mode selected by the user, the related information of the matching entity corresponding to the calculation result is output.
  • the related information of the matching entity includes at least one of the following: the title of the video represented by the matching entity, the version information of the video represented by the matching entity, the type of the video representing the matching entity, and the relevant person of the video representing the matching entity information.
  • the target attribute information includes at least one of the following: video playback volume, video rating, and video attention volume.
  • an embodiment of the present application provides a server.
  • the server includes: one or more processors; a storage device on which one or more programs are stored; and when one or more programs are processed by one or more The processor executes such that one or more processors implement the method as described in any implementation of the first aspect.
  • an embodiment of the present application provides a computer-readable medium on which a computer program is stored.
  • the computer program is executed by a processor, the method is implemented as described in any implementation manner of the first aspect.
  • the method and device for outputting information receive a search term input by a user and determine whether a matching entity exists in a pre-established knowledge graph according to the search term. If there is at least one matching entity, based on the output selected by the user Method to determine the target attribute information corresponding to the output mode from the attribute information of the matching entity, and finally according to the order of the target attribute information, output the relevant information of the matching entity corresponding to the target attribute information, so that the sorted matching entity can be output To improve the pertinence of the output information, and help to show users relevant information about the entity in a targeted manner.
  • FIG. 1 is an exemplary system architecture diagram to which an embodiment of the present application can be applied;
  • FIG. 1 is an exemplary system architecture diagram to which an embodiment of the present application can be applied;
  • FIG. 2 is a flowchart of an embodiment of a method for outputting information according to an embodiment of the present application
  • FIG. 3 is a schematic diagram of an application scenario of a method for outputting information according to an embodiment of the present application
  • FIG. 5 is a schematic structural diagram of an embodiment of an apparatus for outputting information according to an embodiment of the present application
  • FIG. 6 is a schematic structural diagram of a computer system suitable for implementing a server according to an embodiment of the present application.
  • FIG. 1 illustrates an exemplary system architecture 100 to which a method for outputting information or a device for outputting information of an embodiment of the present application can be applied.
  • the system architecture 100 may include terminal devices 101, 102, and 103, a network 104, and a server 105.
  • the network 104 is a medium for providing a communication link between the terminal devices 101, 102, 103 and the server 105.
  • the network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, and so on.
  • the user can use the terminal devices 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and the like.
  • Various communication client applications can be installed on the terminal devices 101, 102, 103, such as data processing applications, video playback applications, web browser applications, instant communication tools, social platform software, and the like.
  • the terminal devices 101, 102, and 103 may be hardware or software.
  • the terminal devices 101, 102, and 103 can be various electronic devices, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.
  • the terminal devices 101, 102, and 103 are software, they can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules (such as software or software modules used to provide distributed services), or it can be implemented as a single software or software module. It is not specifically limited here.
  • the server 105 may be a server that provides various services, such as a background information processing server that processes search words sent by the terminal devices 101, 102, and 103.
  • the background information processing server may use the received search words to determine a matching entity from the entities in a pre-established knowledge map, and output related information of the matching entity.
  • the method for outputting information provided by the embodiment of the present application is generally executed by the server 105, and accordingly, the device for outputting information is generally set in the server 105.
  • the server may be hardware or software.
  • the server can be implemented as a distributed server cluster consisting of multiple servers or as a single server.
  • the server can be implemented as multiple software or software modules (such as software or software modules used to provide distributed services), or it can be implemented as a single software or software module. It is not specifically limited here.
  • terminal devices, networks, and servers in FIG. 1 are merely exemplary. According to implementation needs, there can be any number of terminal devices, networks, and servers.
  • the method for outputting information includes the following steps:
  • Step 201 Receive a search term input by a user.
  • an execution subject for example, a server shown in FIG. 1
  • the number of search terms may be at least one.
  • the search term may be a vocabulary, phrase, or sentence used for information search.
  • the form of the search term may include, but is not limited to, at least one of the following: text, numbers, symbols, etc. in any language (for example, Chinese, English, etc.).
  • Step 202 Match the search word with the attribute information of the entity representing the video in the pre-established knowledge graph to determine whether a matching entity exists in the knowledge graph.
  • the above-mentioned execution subject may match the search word with attribute information of an entity representing a video in a pre-established knowledge map to determine whether a matching entity exists in the knowledge map .
  • the matching entity is an entity whose corresponding attribute information matches the search term.
  • the entities in the knowledge map can be used to characterize a certain thing or concept (such as characterizing people, places, times, information, etc.).
  • the form of the entity may include at least one of the following: numbers, characters, symbols, and so on.
  • the knowledge map may include an entity for characterizing a video.
  • the pre-established entity used to characterize a video may be “v-abc”, where “v” indicates that the entity is used to characterize a video, and “abc” is an identifier used to characterize the video.
  • the knowledge map of this embodiment may also include entities used to characterize things or concepts other than video. For example, a pre-established entity used to characterize a person may be "p-xyz", where "p" indicates that the entity is used to characterize a character, and "xyz” is an identifier used to characterize the character.
  • the entity representing the video may have corresponding attribute information.
  • the attribute information may be information related to the video represented by the entity, and may include, but is not limited to, at least one of the following: information about a person (such as a video producer, an actor, a director, etc.) related to the video, and a time (such as a release time) related to the video , Shooting time, etc.), the source information of the video (such as the video's playback address, the name of the website where the video is located, etc.), and other information related to the video content (such as the video profile, stills, poster pictures, etc.).
  • the correspondence between the entity and the attribute information can be represented by a data structure in the form of a triple, namely, “entity-attribute-attribute value”, wherein the attribute information of the entity can include the above-mentioned attribute-attribute value.
  • a triple may be "abc123-name-XXX", where "abc123” is an entity used to characterize the movie "XXX”, "name” is an attribute, and "XXX" is an attribute value.
  • the execution subject may match the search word with the attribute information of the entity in the knowledge map according to various methods to obtain a matching result.
  • the number of matching results may be multiple, and each matching result corresponds to an entity in the knowledge map.
  • the search term includes text.
  • the attribute information of the entity may include text information (such as the name of each actor, a description of the content of the video, etc.).
  • the above-mentioned execution subject may determine, from the entities in the knowledge map, the entities whose text information includes corresponding search information including the search terms as the matching entities. It should be noted that when the number of search terms is at least one, the execution subject may determine an entity including text information included in the attribute information including all search terms in the at least one search term or a preset number of search terms as a matching entity. .
  • the execution body may perform similarity calculation on the received search word and text information included in the attribute information of the entity in the knowledge map, and determine the entity corresponding to the similarity greater than or equal to a preset similarity threshold as the search Word-matching matching entities.
  • the above execution body may calculate the text included in the search term and the attribute information of the entity according to an existing algorithm for determining text similarity (such as Jaccard similarity algorithm, cosine similarity algorithm, simhash algorithm, etc.). Similarity between information.
  • the attribute information of the entity may include at least one keyword.
  • the above execution body may calculate search terms according to various existing algorithms for calculating the similarity between keywords (such as the LevenshteinDistance algorithm, the cosine distance algorithm based on the Vector Space Model (VSM), etc.)
  • the similarity between at least one keyword corresponding to the entity is used as a matching result.
  • the execution body may further determine whether a matching entity matching the search term exists in the knowledge graph according to the matching result.
  • a matching entity matching the search term exists in the knowledge graph according to the matching result.
  • the matching result is the similarity between the search word and the text information included in the attribute information of the entities in the knowledge map
  • an entity corresponding to a similarity greater than or equal to a preset similarity threshold may be determined as the matching entity.
  • the matching entity can be used to indicate a video, and the video can be various types of videos, such as movies, TV series, small videos uploaded by users, and so on.
  • Step 203 In response to determining that there is at least one matching entity, for the matching entities in the determined at least one matching entity, based on the output mode selected by the user, determine attribute information corresponding to the output mode from the attribute information of the matching entity. As target attribute information.
  • the execution entity may be responsive to determining that there is at least one matching entity in the knowledge map, and for the matching entity in the determined at least one matching entity, based on the output mode selected by the user, from the attribute information of the matching entity , Determine the attribute information corresponding to the output mode as the target attribute information.
  • the output mode is also used to indicate the arrangement order of the target attribute information.
  • the output mode may be characterized by some information that can be selected by the user, and each output mode is preset to correspond to at least one type of attribute information.
  • the information used to characterize the output mode may include "play volume".
  • the playback volume When the user selects the information "play volume", from the attribute information of the matching entity, the playback volume of the video represented by the matching entity within a set time period is selected. Data as target attribute information.
  • the output mode can also characterize the arrangement order of the playback volume data (for example, from large to small). By performing this step, each matching entity can correspond to the target attribute information corresponding to the output mode selected by the user, and determine the arrangement order of the target attribute information.
  • the output manner selected by the user corresponds to at least one piece of attribute information.
  • the execution subject may determine each piece of attribute information in at least one piece of attribute information corresponding to the output mode selected by the user as the target attribute information.
  • each matching entity may correspond to at least one piece of target attribute information.
  • the target attribute information may include at least one of the following: video playback volume, video rating, video attention volume, and the like.
  • the above-mentioned playback volume may be the actual playback volume of the video within a specified period of time on a specified playback platform (such as a video website, a video playback application, etc.), or it may be the video within a specified period of time on a specified playback platform
  • the above-mentioned rating may be an average of a user's rating of the video.
  • the above-mentioned amount of attention may be the number of users who follow the video.
  • Step 204 Output related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information.
  • the execution entity may output related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information.
  • the target attribute information may include numerical values, and the arrangement order of the target attribute information may be the order of magnitude of the numerical values.
  • the execution body may output related information of the matching entity corresponding to the target attribute information in the order of the playback volume corresponding to each matching entity.
  • the related information of the matching entity may be information included in the attribute information of the matching entity, or may be other information related to the matching entity (for example, pre-acquired user comments and ratings on videos characterized by the matching entity).
  • the attribute information may include various types of sub-information, and the sub-information may have a corresponding identification or serial number to distinguish the type of the molecular information.
  • the execution subject may extract sub-information of a preset category from the attribute information as related information.
  • the execution body may output related information of the matching entity in various ways.
  • the related information of the matching entity is displayed on the display connected to the execution subject in the order of the target attribute information.
  • the related information of the matching entity is sequentially output to other electronic devices that are communicatively connected with the execution subject.
  • the related information of the matching entity may include, but is not limited to, at least one of the following: the title of the video represented by the matching entity, and the video version information (such as a "cut-out") , "86 version", etc.), the type of video that matches the physical representation (for example, science fiction, martial arts, etc.), and relevant character information (such as the actor name, director name, etc.) of the video that matches the physical representation.
  • the execution body may perform the following steps:
  • a weighted sum calculation is performed on at least one piece of target attribute information of the entity to obtain a calculation result.
  • a technician may set a weight of each attribute information in the at least one target attribute information in the execution body in advance, and based on the weight of each attribute information, the execution body may perform weighted summation on each target attribute information, Get the calculation result.
  • the number of target attribute information is three, namely the playback amount, the rating value, and the attention amount.
  • the technician can set the corresponding weight values to be 0.4, 0.3, and 0.3, and the weighted summation result is 0.4 ⁇ playing amount + 0.3 ⁇ score value + 0.3 ⁇ amount of attention.
  • the relevant information of the matching entities corresponding to the calculation results is output.
  • the order of the related information of the output matching result can comprehensively reflect the information of each target attribute, which is helpful to improve the accuracy of the output related information.
  • FIG. 3 is a schematic diagram of an application scenario of a method for outputting information according to this embodiment.
  • the server 301 first receives a search term 303 (for example, “Martial Arts Zhang San”) input by the user on the terminal device 302. Then, the search word 303 is matched with the attribute information of the entity representing the video in the pre-established knowledge graph 304 to obtain a matching result corresponding to each entity.
  • the matching result is the similarity between the text information included in the attribute information of the entity and the search word 303.
  • the server 301 determines three matching entities 3041, 3042, and 3043 from the knowledge map 304.
  • the attribute information of the matching entities 3041, 3042, and 3043 includes text information and the similarity between the search word 303 is greater than or equal to A preset similarity threshold (for example, 90%). Then, the server 301 determines that the target attribute information corresponding to the output mode selected by the user is the playback volume of the video represented by the entity on the current day, and the output mode is used to indicate the order of the playback volume from high to small. Finally, the server 301 outputs the related information 305 of the matching entity to the display connected to the server 301 according to the order of the playback volume.
  • a preset similarity threshold for example, 90%
  • the related information of the matching entities 3041, 3042, and 3043 is the title of the video represented by each matching entity (for example, "XXX”, “YYY”, “ZZZ”), the name of the lead role (for example, “Zhang San, Li Si”, “Zhang Three “,” Wang five, Zhang three ”) and playback volume (such as” 6% ",” 3% “,” 1% "), where the playback volume matches the actual playback volume of the entity on a playback platform with the playback volume The ratio of the platform's total playback.
  • the method provided by the foregoing embodiment of the present application determines whether a matching entity exists in a pre-established knowledge graph by receiving a search term input by a user, and if there is at least one matching entity, based on an output mode selected by the user, the matching entity is selected from the matching entity.
  • the target attribute information corresponding to the output mode is determined in the attribute information of the final, and finally the related information of the matching entity corresponding to the target attribute information is output according to the order of the target attribute information, so that the related information of the sorted matching entity can be output to improve
  • the pertinence of the output information helps to show users relevant information about the entity in a targeted manner.
  • FIG. 4 a flowchart 400 of yet another embodiment of a method for outputting information is shown.
  • the process 400 of the method for outputting information includes the following steps:
  • Step 401 Receive a search term input by a user.
  • step 401 is substantially the same as step 201 in the embodiment corresponding to FIG. 2, and details are not described herein again.
  • Step 402 Match the search word with the attribute information of the entity representing the video in the pre-established knowledge graph to determine whether a matching entity exists in the knowledge graph.
  • the attribute information of the entity may include video source information, and the video source information is used to indicate the source of the video represented by the entity (for example, the playback address and storage address of the video).
  • the method for determining whether there is a matching entity in the knowledge map in this step is basically the same as the method for determining whether there is a matching entity in the knowledge map described in step 202 in the corresponding embodiment in FIG. 2, and details are not described herein again.
  • Step 403 In response to determining that there is at least one matching entity, for the matching entities in the determined at least one matching entity, based on the output mode selected by the user, determine attribute information corresponding to the output mode from the attribute information of the matching entity. As target attribute information.
  • step 403 is substantially the same as step 203 in the embodiment corresponding to FIG. 2, and details are not described herein again.
  • Step 404 For at least one matching entity whose corresponding video source information matches the source indicated by the output mode, according to the determined order of the target attribute information, output relevant information of the matching entity corresponding to the target attribute information.
  • the execution entity may output the corresponding target attribute information to at least one matching entity whose corresponding video source information matches the source indicated by the output mode according to the determined order of the target attribute information.
  • the output mode selected by the user may also be used to indicate the source of the video.
  • the output method selected by the user indicates that the source of the video is a video playback website, and the execution entity may determine, from the at least one matching entity, that the source of the video used for characterization is the matching entity of the video playback website.
  • the determined matching entities output related information of the matching entities corresponding to the target attribute information.
  • the related information of the matching entity in this step may be the same as the related information described in the above step 204, and is not repeated here.
  • the process 400 of the method for outputting information in this embodiment highlights the steps of determining a matching entity according to the video source information. Therefore, the solution described in this embodiment can help the user to autonomously choose which source of video related information to output, thereby further improving the specificity of the information output.
  • this application provides an embodiment of a device for outputting information.
  • the device embodiment corresponds to the method embodiment shown in FIG. 2.
  • the device can be specifically applied to various electronic devices.
  • the apparatus 500 for outputting information in this embodiment includes: a receiving unit 501 configured to receive a search term input by a user; a matching unit 502 configured to combine the search term with a pre-established knowledge graph Match the attribute information of the entity representing the video to determine whether there is a matching entity in the knowledge graph, where the matching entity is an entity whose corresponding attribute information matches the search term; a determining unit 503 is configured to respond to determining that at least A matching entity. For the matching entity in the determined at least one matching entity, based on the output mode selected by the user, from the attribute information of the matching entity, determine attribute information corresponding to the output mode as the target attribute information, where the output The method is also used to indicate the arrangement order of the target attribute information.
  • the output unit 504 is configured to output related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information.
  • the receiving unit 501 may receive a search term input by a user in a wired connection manner or a wireless connection manner.
  • the number of search terms may be at least one.
  • the search term may be a vocabulary, phrase, or sentence used for information search.
  • the form of the search term may include, but is not limited to, at least one of the following: text, numbers, symbols, etc. in any language (for example, Chinese, English, etc.).
  • the matching unit 502 may match the search word with the attribute information of the entity representing the video in the pre-established knowledge map to determine whether there is a match in the knowledge map entity.
  • the matching entity is an entity whose corresponding attribute information matches the search term.
  • the entities in the knowledge map can be used to characterize a certain thing or concept (such as characterizing people, places, times, information, etc.).
  • the form of the entity may include at least one of the following: numbers, characters, symbols, and so on.
  • the knowledge map may include an entity for characterizing a video.
  • the pre-established entity used to characterize a video may be “v-abc”, where “v” indicates that the entity is used to characterize a video, and “abc” is an identifier used to characterize the video.
  • the knowledge map of this embodiment may also include entities used to characterize things or concepts other than video. For example, a pre-established entity used to characterize a person may be "p-xyz", where "p" indicates that the entity is used to characterize a character, and "xyz” is an identifier used to characterize the character.
  • the entity representing the video may have corresponding attribute information.
  • the attribute information may be information related to the video represented by the entity, and may include, but is not limited to, at least one of the following: information about a person (such as a video producer, an actor, a director, etc.) related to the video, and a time (such as a release time) related to the video , Shooting time, etc.), the source information of the video (such as the video's playback address, the name of the website where the video is located, etc.), and other information related to the video content (such as the video profile, stills, poster pictures, etc.).
  • the correspondence between the entity and the attribute information can be represented by a data structure in the form of a triple, namely, “entity-attribute-attribute value”, wherein the attribute information of the entity can include the above-mentioned attribute-attribute value.
  • a triple may be "abc123-name-XXX", where "abc123” is an entity used to characterize the movie "XXX”, "name” is an attribute, and "XXX" is an attribute value.
  • the matching unit 502 may match the search word with the attribute information of the entity in the knowledge map according to various methods to obtain a matching result.
  • the number of matching results may be multiple, and each matching result corresponds to an entity in the knowledge map.
  • the search term includes text.
  • the attribute information of the entity may include text information (such as the name of each actor, a description of the content of the video, etc.).
  • the matching unit 502 may determine, from the entities in the knowledge map, the entity whose text information includes the search word and the corresponding attribute information is the matching entity. It should be noted that when the number of search words is at least one, the matching unit 502 may determine an entity that includes text information included in the attribute information including all search words in the at least one search word or a preset number of search words. entity.
  • the matching unit 502 may further determine whether a matching entity matching the search term exists in the knowledge graph according to the matching result.
  • a matching entity matching the search term exists in the knowledge graph according to the matching result.
  • the matching result is the similarity between the search word and the text information included in the attribute information of the entities in the knowledge map
  • an entity corresponding to a similarity greater than or equal to a preset similarity threshold may be determined as the matching entity.
  • the matching entity can be used to indicate a video, and the video can be various types of videos, such as movies, TV series, small videos uploaded by users, and so on.
  • the determining unit 503 may respond to determining that there is at least one matching entity in the knowledge map, and for the matching entity in the determined at least one matching entity, based on the output mode selected by the user, from the attribute information of the matching entity , Determine the attribute information corresponding to the output mode as the target attribute information.
  • the output mode is also used to indicate the arrangement order of the target attribute information.
  • the output mode may be characterized by some information that can be selected by the user, and each output mode is preset to correspond to at least one type of attribute information.
  • the information indicating the output mode may include "play volume”.
  • the output mode can also characterize the arrangement order of the playback volume data (for example, from large to small). By performing this step, each matching entity can correspond to the target attribute information corresponding to the output mode selected by the user.
  • the output unit 504 may output related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information.
  • the target attribute information may include a numerical value
  • the arrangement order of the target attribute information may be a numerical order of magnitude.
  • the output unit 504 may output related information of the matching entity corresponding to the target attribute information in the order of the playback volume corresponding to each matching entity.
  • the related information of the matching entity may be information included in the attribute information of the matching entity, or may be other information related to the matching entity (for example, pre-acquired user comments and ratings on videos characterized by the matching entity).
  • the attribute information may include various types of sub-information, and the sub-information may have a corresponding identification or serial number to distinguish the type of the molecular information.
  • the output unit 504 may extract sub-information of a preset category from the attribute information as related information.
  • the above-mentioned output unit 504 may output related information of the matching entity in various ways.
  • the related information of the matching entity is displayed on the display connected to the apparatus 500 in the order of the target attribute information.
  • the related information of the matching entity is sequentially output to other electronic devices that are communicatively connected with the apparatus 500.
  • the attribute information of the entity may include video source information, and the video source information is used to indicate the source of the video represented by the entity.
  • the output mode is further used to indicate the source of the video; and the output unit 504 may be further configured to: match the corresponding video source information in at least one matching entity with the output mode
  • the matching entity of the indicated source outputs related information of the matching entity corresponding to the target attribute information according to the determined arrangement order of the target attribute information.
  • the output mode corresponds to at least one piece of attribute information; and the determining unit 503 may be further configured to: determine each piece of attribute information in the at least one piece of attribute information corresponding to the output mode as Target attribute information.
  • the output unit 504 may include a calculation module (not shown in the figure) configured to, for at least one matching entity among at least one matching entity, at least one target attribute of the entity. The information is subjected to weighted sum calculation to obtain the calculation result; the output module (not shown in the figure) is configured to output the matching entity corresponding to the calculation result according to the order of the obtained calculation result indicated by the output mode selected by the user. Related information.
  • the related information of the matching entity may include at least one of the following: the title of the video represented by the matching entity, the version information of the video represented by the matching entity, the type of the video representing the matching entity, Relevant person information for the video that matches the entity representation.
  • the target attribute information may include at least one of the following: video playback volume, video rating, and video attention volume.
  • the device provided by the foregoing embodiment of the present application determines whether a matching entity exists in a pre-established knowledge graph by receiving a search term input by a user, and if there is at least one matching entity, based on the output mode selected by the user, the matching entity is selected from the matching entity.
  • the target attribute information corresponding to the output mode is determined in the attribute information of the final, and finally the related information of the matching entity corresponding to the target attribute information is output according to the order of the target attribute information, so that the related information of the sorted matching entity can be output to improve
  • the pertinence of the output information helps to show users relevant information about the entity in a targeted manner.
  • FIG. 6 shows a schematic structural diagram of a computer system 600 suitable for implementing a server according to an embodiment of the present application.
  • the server shown in FIG. 6 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present application.
  • the computer system 600 includes a central processing unit (CPU) 601, which can be loaded into a random access memory (RAM) 603 according to a program stored in a read-only memory (ROM) 602 or from a storage portion 608. Instead, perform various appropriate actions and processes.
  • RAM random access memory
  • ROM read-only memory
  • various programs and data required for the operation of the system 600 are also stored.
  • the CPU 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604.
  • An input / output (I / O) interface 605 is also connected to the bus 604.
  • the following components are connected to the I / O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the speaker; a storage portion 608 including a hard disk and the like; a communication section 609 including a network interface card such as a LAN card, a modem, and the like.
  • the communication section 609 performs communication processing via a network such as the Internet.
  • the driver 610 is also connected to the I / O interface 605 as necessary.
  • a removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage section 608 as needed.
  • the process described above with reference to the flowchart may be implemented as a computer software program.
  • embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable medium, the computer program containing program code for performing a method shown in a flowchart.
  • the computer program may be downloaded and installed from a network through the communication section 609, and / or installed from a removable medium 611.
  • CPU central processing unit
  • the computer-readable medium described in this application may be a computer-readable signal medium or a computer-readable medium or any combination of the foregoing.
  • the computer-readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable Read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.
  • a computer-readable medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal that is included in baseband or propagated as part of a carrier wave, and which carries computer-readable program code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium can also be any computer-readable medium other than a computer-readable medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.
  • Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • Computer program code for performing the operations of the present application may be written in one or more programming languages, or combinations thereof, including programming languages such as Java, Smalltalk, C ++, and also conventional Procedural programming language—such as "C" or a similar programming language.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider) Internet connection).
  • LAN local area network
  • WAN wide area network
  • Internet service provider Internet service provider
  • each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, which contains one or more functions to implement a specified logical function Executable instructions.
  • the functions noted in the blocks may also occur in a different order than those marked in the drawings. For example, two successively represented boxes may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts can be implemented by a dedicated hardware-based system that performs the specified function or operation , Or it can be implemented with a combination of dedicated hardware and computer instructions.
  • the units described in the embodiments of the present application may be implemented by software or hardware.
  • the described unit may also be provided in a processor, for example, it may be described as: a processor includes a receiving unit, a matching unit, a determining unit, and an output unit.
  • a processor includes a receiving unit, a matching unit, a determining unit, and an output unit.
  • the names of these units do not constitute a limitation on the unit itself in some cases, for example, the receiving unit may also be described as a “unit that receives a search term input by a user”.
  • the present application also provides a computer-readable medium, which may be included in the server described in the above embodiments; or may exist alone without being assembled into the server.
  • the above computer-readable medium carries one or more programs, and when the one or more programs are executed by the server, the server is caused to: receive a search term input by a user; and characterize the search term with a pre-established knowledge graph.
  • the matching entity in the matching entity determines the attribute information corresponding to the output method as the target attribute information from the attribute information of the matching entity, wherein the output method is also used to indicate the arrangement of the target attribute information Sequence: According to the determined arrangement order of the target attribute information, the related information of the matching entity corresponding to the target attribute information is output.

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Abstract

一种用于输出信息的方法和装置。该方法包括：接收用户输入的搜索词（201）；将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体(202)；响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息(203)；按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息(204)。该方法可以通过输出排序后的匹配实体的相关信息，提高输出信息的针对性，有助于有针对性地向用户展示实体的相关信息。

Description

用于输出信息的方法和装置
本专利申请要求于2018年8月31日提交的、申请号为201811015354.8、申请人为北京字节跳动网络技术有限公司、发明名称为“用于输出信息的方法和装置”的中国专利申请的优先权，该申请的全文以引用的方式并入本申请中。
技术领域
本申请实施例涉及计算机技术领域，具体涉及用于输出信息的方法和装置。
背景技术
知识图谱(Knowledge Graph)是一种叫做语义网络(semanticnetwork)的知识库，即具有有向图结构的一个知识库，其中图的节点代表实体(entity)或者概念(concept)，而图的边代表实体/概念之间的各种语义关系。实体可以具有对应的属性信息，属性信息可以用于表征实体的某些属性(例如实体表征的信息的类别、存储地址等属性)。知识图谱可以应用于各种领域，例如信息搜索、信息推荐等领域。利用知识图谱，可以得到与表征某一信息的实体关联的其他实体，从而可以较准确地得到与该信息关联的其他信息。
发明内容
本申请实施例提出了用于输出信息的方法和装置。
第一方面，本申请实施例提供了一种用于输出信息的方法，该方法包括：接收用户输入的搜索词；将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体，其中，匹配实体是对应的属性信息与搜索词匹配的实体；响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体 中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息，其中，输出方式还用于指示目标属性信息的排列顺序；按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在一些实施例中，实体的属性信息包括视频来源信息，视频来源信息用于指示实体表征的视频的来源。
在一些实施例中，输出方式还用于指示视频的来源；以及按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息，包括：对至少一个匹配实体中的、所对应的视频来源信息符合输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在一些实施例中，输出方式对应于至少一条属性信息；以及确定与输出方式相对应的属性信息作为目标属性信息，包括：确定与输出方式相对应的至少一条属性信息中的每条属性信息作为目标属性信息。
在一些实施例中，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息，包括：对于至少一个匹配实体中的匹配实体，对该实体的至少一条目标属性信息进行加权求和计算，得到计算结果；按照用户选择的输出方式所指示的、所得到的计算结果的排列顺序，输出计算结果对应的匹配实体的相关信息。
在一些实施例中，匹配实体的相关信息包括以下至少一种：匹配实体表征的视频的标题、匹配实体表征的视频的版本信息、匹配实体表征的视频的类型、匹配实体表征的视频的相关人物信息。
在一些实施例中，目标属性信息包括以下至少一种：视频的播放量，视频的评分，视频的关注量。
第二方面，本申请实施例提供了一种用于输出信息的装置，该装置包括：接收单元，被配置成接收用户输入的搜索词；匹配单元，被配置成将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体，其中，匹配实体是对应的属性信息与搜索词匹配的实体；确定单元，被配置成响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的 匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息，其中，输出方式还用于指示目标属性信息的排列顺序；输出单元，被配置成按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在一些实施例中，实体的属性信息包括视频来源信息，视频来源信息用于指示实体表征的视频的来源。
在一些实施例中，输出方式还用于指示视频的来源；以及输出单元进一步被配置成：对至少一个匹配实体中的、所对应的视频来源信息符合输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在一些实施例中，输出方式对应于至少一条属性信息；以及确定单元进一步被配置成：确定与输出方式相对应的至少一条属性信息中的每条属性信息作为目标属性信息。
在一些实施例中，输出单元包括：计算模块，被配置成对于至少一个匹配实体中的匹配实体，对该实体的至少一条目标属性信息进行加权求和计算，得到计算结果；输出模块，被配置成按照用户选择的输出方式所指示的、所得到的计算结果的排列顺序，输出计算结果对应的匹配实体的相关信息。
在一些实施例中，匹配实体的相关信息包括以下至少一种：匹配实体表征的视频的标题、匹配实体表征的视频的版本信息、匹配实体表征的视频的类型、匹配实体表征的视频的相关人物信息。
在一些实施例中，目标属性信息包括以下至少一种：视频的播放量，视频的评分，视频的关注量。
第三方面，本申请实施例提供了一种服务器，该服务器包括：一个或多个处理器；存储装置，其上存储有一个或多个程序；当一个或多个程序被一个或多个处理器执行，使得一个或多个处理器实现如第一方面中任一实现方式描述的方法。
第四方面，本申请实施例提供了一种计算机可读介质，其上存储有计算机程序，该计算机程序被处理器执行时实现如第一方面中任一 实现方式描述的方法。
本申请实施例提供的用于输出信息的方法和装置，通过接收用户输入的搜索词，根据搜索词确定预先建立的知识图谱中是否存在匹配实体，如果存在至少一个匹配实体，基于用户选择的输出方式，从匹配实体的属性信息中确定与输出方式相对应的目标属性信息，最后按照目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息，从而可以通过输出排序后的匹配实体的相关信息，提高输出信息的针对性，有助于有针对性地向用户展示实体的相关信息。
附图说明
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本申请的其它特征、目的和优点将会变得更明显：
图1是本申请的一个实施例可以应用于其中的示例性系统架构图；
图2是根据本申请实施例的用于输出信息的方法的一个实施例的流程图；
图3是根据本申请实施例的用于输出信息的方法的一个应用场景的示意图；
图4是根据本申请实施例的用于输出信息的方法的又一个实施例的流程图；
图5是根据本申请实施例的用于输出信息的装置的一个实施例的结构示意图；
图6是适于用来实现本申请实施例的服务器的计算机系统的结构示意图。
具体实施方式
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅用于解释相关发明，而非对该发明的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与有关发明相关的部分。
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例 中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。
图1示出了可以应用本申请实施例的用于输出信息的方法或用于输出信息的装置的示例性系统架构100。
如图1所示，系统架构100可以包括终端设备101、102、103，网络104和服务器105。网络104用以在终端设备101、102、103和服务器105之间提供通信链路的介质。网络104可以包括各种连接类型，例如有线、无线通信链路或者光纤电缆等等。
用户可以使用终端设备101、102、103通过网络104与服务器105交互，以接收或发送消息等。终端设备101、102、103上可以安装有各种通讯客户端应用，例如数据处理类应用、视频播放类应用、网页浏览器应用、即时通信工具、社交平台软件等。
终端设备101、102、103可以是硬件，也可以是软件。当终端设备101、102、103为硬件时，可以是各种电子设备，包括但不限于智能手机、平板电脑、膝上型便携计算机和台式计算机等等。当终端设备101、102、103为软件时，可以安装在上述所列举的电子设备中。其可以实现成多个软件或软件模块(例如用来提供分布式服务的软件或软件模块)，也可以实现成单个软件或软件模块。在此不做具体限定。
服务器105可以是提供各种服务的服务器，例如对终端设备101、102、103发送的搜索词进行处理的后台信息处理服务器。后台信息处理服务器可以利用接收到的搜索词，从预先建立的知识图谱中的实体中确定匹配实体，并输出匹配实体的相关信息。
需要说明的是，本申请实施例所提供的用于输出信息的方法一般由服务器105执行，相应地，用于输出信息的装置一般设置于服务器105中。
需要说明的是，服务器可以是硬件，也可以是软件。当服务器为硬件时，可以实现成多个服务器组成的分布式服务器集群，也可以实现成单个服务器。当服务器为软件时，可以实现成多个软件或软件模块(例如用来提供分布式服务的软件或软件模块)，也可以实现成单个软件或软件模块。在此不做具体限定。
应该理解，图1中的终端设备、网络和服务器的数目仅仅是示意性的。根据实现需要，可以具有任意数目的终端设备、网络和服务器。
继续参考图2，示出了根据本申请的用于输出信息的方法的一个实施例的流程200。该用于输出信息的方法，包括以下步骤：
步骤201，接收用户输入的搜索词。
在本实施例中，用于输出信息的方法的执行主体(例如图1所示的服务器)可以通过有线连接方式或者无线连接方式接收用户输入的搜索词。其中，搜索词的数量可以为至少一个。搜索词可以是用于信息搜索的词汇、短语、或句子等。搜索词的形式可以包括但不限于以下至少一种：任意语言(例如中文、英文等)的文字、数字、符号等。
步骤202，将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体。
在本实施例中，基于步骤201中接收的搜索词，上述执行主体可以将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体。其中，匹配实体是对应的属性信息与搜索词匹配的实体。
通常，知识图谱中的实体可以用于表征某种事物或概念(例如表征人物、地点、时间、信息等)。实体的形式可以包括以下至少一种：数字、文字、符号等。在本实施例中，知识图谱可以包括用于表征视频的实体。作为示例，预先建立的用于表征某视频的实体可以为“v-abc”，其中，“v”表示该实体用于表征视频，“abc”是用于表征该视频的标识。另外，本实施例的知识图谱还可以包括用于表征除视频以外的其他事物或概念的实体。例如预先建立的用于表征某人物的实体可以为“p-xyz”，其中，“p”表示该实体用于表征人物，“xyz”是用于表征该人物的标识。
上述表征视频的实体可以具有对应的属性信息。属性信息可以是与实体表征的视频相关的信息，可以包括但不限于以下至少一种：与视频相关的人物(例如视频制作者、演员、导演等)信息、与视频相关的时间(例如上映时间、拍摄时间等)信息、视频的来源信息(例 如视频的播放地址、视频所在的网站名称等)、以及其他与视频内容相关的信息(例如视频简介、剧照、海报图片等)等。通常，在知识图谱中，实体和属性信息的对应关系可以用三元组形式的数据结构来表示，即“实体-属性-属性值”，其中，实体的属性信息可以包括上述属性-属性值。例如，某三元组可以为“abc123-名称-XXX”，其中，“abc123”为用于表征电影《XXX》的实体，“名称”为一种属性，“XXX”为属性值。
在本实施例中，上述执行主体可以按照各种方法将搜索词与上述知识图谱中的实体的属性信息进行匹配，得到匹配结果。其中，匹配结果的数量可以是多个，每个匹配结果对应于知识图谱中的一个实体。例如，搜索词包括文字。实体的属性信息可以包括文本信息(例如各个演员的名称、对视频的内容的描述等)。上述执行主体可以从知识图谱中的实体中，将对应的属性信息包括的文本信息包括上述搜索词的实体确定为匹配实体。需要说明的是，当搜索词的数量为至少一个时，上述执行主体可以将属性信息包括的文本信息包括上述至少一个搜索词中的全部搜索词或预设数量个搜索词的实体确定为匹配实体。
可选地，上述执行主体可以将接收的搜索词与知识图谱中的实体的属性信息包括的文本信息进行相似度计算，将大于等于预设的相似度阈值的相似度对应的实体确定为与搜索词相匹配的匹配实体。具体地，上述执行主体可以按照现有的确定文本相似度的算法(例如杰卡德(Jaccard)相似度算法、余弦相似度算法、simhash算法等)，计算搜索词与实体的属性信息包括的文本信息之间的相似度。可选的，实体的属性信息可以包括至少一个关键词。上述执行主体可以按照现有的各种计算关键词之间的相似度的算法(例如编辑距离(LevenshteinDistance)算法、基于向量空间模型(Vector Space Model，VSM)的余弦距离算法等)，计算搜索词与实体对应的至少一个关键词之间的相似度作为匹配结果。
上述执行主体可以进一步根据上述匹配结果确定知识图谱中是否存在与搜索词相匹配的匹配实体。作为示例，当匹配结果是搜索词与知识图谱中的实体的属性信息包括的文本信息之间的相似度时，可以 将大于等于预设的相似度阈值的相似度对应的实体确定为匹配实体。通常，匹配实体可以用于指示视频，视频可以是各种类型的视频，例如电影、电视剧、用户上传的小视频等。
步骤203，响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息。
在本实施例中，上述执行主体可以响应于确定知识图谱中存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息。其中，输出方式还用于指示目标属性信息的排列顺序。
具体地，输出方式可以用某种可供用户选择的信息表征，且每种输出方式预先设置为对应于至少一种属性信息。例如，用于表征输出方式的信息可以包括“播放量”，当用户选择信息“播放量”时，则从匹配实体的属性信息中，选择匹配实体表征的视频在设定时间段内的播放量数据作为目标属性信息。并且，输出方式还可以表征播放量数据的排列顺序(例如由大到小)。通过执行本步骤，每个匹配实体可以对应于用户选择的输出方式对应的目标属性信息，以及确定目标属性信息的排列顺序。
在本实施例的一些可选的实现方式中，用户选择的输出方式对应于至少一条属性信息。上述执行主体可以确定与用户选择的输出方式相对应的至少一条属性信息中的每条属性信息作为目标属性信息。通过执行本实施方式，每个匹配实体可以对应于至少一条目标属性信息。
在本实施例的一些可选的实现方式中，目标属性信息可以包括以下至少一种：视频的播放量，视频的评分，视频的关注量等。其中，上述播放量可以是视频在指定的播放平台(例如某视频网站、某视频播放应用等)的指定时间段内的实际播放量，也可以是视频在指定时间段内，在指定的播放平台的实际播放量与该播放平台的总播放量的比值。上述评分可以是用户对视频的评分的平均值。上述关注量可以 是关注视频的用户的数量。
步骤204，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在本实施例中，上述执行主体可以按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。通常，目标属性信息可以包括数值，目标属性信息的排列顺序可以是数值的大小顺序。例如，当目标属性信息为匹配实体表征的视频的播放量时，上述执行主体可以按照各个匹配实体对应的播放量的大小顺序，输出目标属性信息对应的匹配实体的相关信息。其中，匹配实体的相关信息可以是匹配实体的属性信息包括的信息，也可以是与匹配实体相关的其他信息(例如预先获取的、用户对匹配实体表征的视频的评论、评分等)。作为示例，属性信息可以包括各种类型的子信息，子信息可以具有对应的标识或序号，以区分子信息的类别。上述执行主体可以从属性信息中提取预设类别的子信息作为相关信息。
可选的，上述执行主体可以以各种方式输出匹配实体的相关信息。例如，将匹配实体的相关信息按照目标属性信息的顺序，显示在与上述执行主体连接的显示器上。或者，按照目标属性信息的顺序，依次将匹配实体的相关信息输出到与上述执行主体通信连接的其他电子设备上。
在本实施例的一些可选的实现方式中，匹配实体的相关信息可以包括但不限于以下至少一种：匹配实体表征的视频的标题、匹配实体表征的视频版本信息(例如“删减版”、“86年版”等)、匹配实体表征的视频的类型(例如科幻、武侠等)、匹配实体表征的视频的相关人物信息(例如演员名称、导演名称等)。
在本实施例的一些可选的实现方式中，当用户选择的输出方式对应于至少一条属性信息时，对于上述至少一个匹配实体中的匹配实体，上述执行主体可以执行如下步骤：
首先，对该实体的至少一条目标属性信息进行加权求和计算，得到计算结果。具体地，技术人员可以在上述执行主体中预先设置上述至少一条目标属性信息中的每条属性信息的权重，基于每条属性信息 的权重，上述执行主体可以对各个目标属性信息进行加权求和，得到计算结果。作为示例，假设目标属性信息的数量为三条，分别是播放量、评分值、关注量，技术人员可以设置对应的权重值分别为0.4、0.3、0.3，加权求和结果为0.4×播放量+0.3×评分值+0.3×关注量。
然后，按照用户选择的输出方式所指示的、所得到的计算结果的排列顺序，输出计算结果对应的匹配实体的相关信息。通过执行本实现方式，输出的匹配结果的相关信息的顺序可以综合体现各个目标属性信息，有助于提高输出的相关信息的准确性。
继续参见图3，图3是根据本实施例的用于输出信息的方法的应用场景的一个示意图。在图3的应用场景中，服务器301首先接收用户在终端设备302输入的搜索词303(例如“武侠张三”)。然后，将搜索词303与预先建立的知识图谱304中的、表征视频的实体的属性信息进行匹配，得到每个实体对应的匹配结果。其中，匹配结果是实体的属性信息包括的文本信息与搜索词303之间的相似度。再然后，服务器301从知识图谱304中确定出三个匹配实体3041、3042、3043，其中，匹配实体3041、3042、3043的属性信息包括的文本信息均与搜索词303之间的相似度大于等于预设的相似度阈值(例如90％)。然后，服务器301确定用户选择的输出方式对应的目标属性信息为实体表征的视频在当天的播放量，并且输出方式用于指示播放量的排列顺序为由大到小。最后，服务器301按照播放量由大到小排列顺序，将匹配实体的相关信息305输出到与服务器301连接的显示器上显示。其中，匹配实体3041、3042、3043的相关信息是各个匹配实体表征的视频的标题(例如《XXX》、《YYY》、《ZZZ》)、主演名称(例如“张三、李四”、“张三”、“王五、张三”)和播放量(例如“6％”、“3％”、“1％”)，其中，播放量是匹配实体在某播放平台的实际播放量与该播放平台的总播放量的比值。
本申请的上述实施例提供的方法，通过接收用户输入的搜索词，根据搜索词确定预先建立的知识图谱中是否存在匹配实体，如果存在至少一个匹配实体，基于用户选择的输出方式，从匹配实体的属性信息中确定与输出方式相对应的目标属性信息，最后按照目标属性信息 的排列顺序，输出目标属性信息对应的匹配实体的相关信息，从而可以通过输出排序后的匹配实体的相关信息，提高输出信息的针对性，有助于有针对性地向用户展示实体的相关信息。
进一步参考图4，其示出了用于输出信息的方法的又一个实施例的流程400。该用于输出信息的方法的流程400，包括以下步骤：
步骤401，接收用户输入的搜索词。
在本实施例中，步骤401与图2对应实施例中的步骤201基本一致，这里不再赘述。
步骤402，将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体。
在本实施例中，实体的属性信息可以包括视频来源信息，视频来源信息用于指示实体表征的视频的来源(例如视频的播放地址、存储地址等)。
本步骤中的确定知识图谱中是否存在匹配实体的方法与图2对应实施例中的步骤202中描述的确定知识图谱中是否存在匹配实体的方法基本一致，这里不再赘述。
步骤403，响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息。
在本实施例中，步骤403与图2对应实施例中的步骤203基本一致，这里不再赘述。
步骤404，对至少一个匹配实体中的、所对应的视频来源信息符合输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在本实施例中，上述执行主体可以对至少一个匹配实体中的、所对应的视频来源信息符合输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。具体地，用户选择的输出方式还可以用于指示视频的来源。 例如用户选择的输出方式指示视频的来源为某视频播放网站，上述执行主体可以从上述至少一个匹配实体中，确定用于表征的视频的来源是该视频播放网站的匹配实体。将所确定的各个匹配实体按照目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
需要说明的是，本步骤中的匹配实体的相关信息可以与上述步骤204中描述的相关信息相同，这里不再赘述。
从图4中可以看出，与图2对应的实施例相比，本实施例中的用于输出信息的方法的流程400突出了按照视频来源信息确定匹配实体的步骤。由此，本实施例描述的方案可以有助于用户自主选择输出哪些来源的视频的相关信息，从而可以进一步提高信息输出的针对性。
进一步参考图5，作为对上述各图所示方法的实现，本申请提供了一种用于输出信息的装置的一个实施例，该装置实施例与图2所示的方法实施例相对应，该装置具体可以应用于各种电子设备中。
如图5所示，本实施例的用于输出信息的装置500包括：接收单元501，被配置成接收用户输入的搜索词；匹配单元502，被配置成将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体，其中，匹配实体是对应的属性信息与搜索词匹配的实体；确定单元503，被配置成响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息，其中，输出方式还用于指示目标属性信息的排列顺序；输出单元504，被配置成按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在本实施例中，接收单元501可以通过有线连接方式或者无线连接方式接收用户输入的搜索词。其中，搜索词的数量可以为至少一个。搜索词可以是用于信息搜索的词汇、短语、或句子等。搜索词的形式可以包括但不限于以下至少一种：任意语言(例如中文、英文等)的文字、数字、符号等。
在本实施例中，基于接收单元501接收的搜索词，上述匹配单元502可以将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体。其中，匹配实体是对应的属性信息与搜索词匹配的实体。
通常，知识图谱中的实体可以用于表征某种事物或概念(例如表征人物、地点、时间、信息等)。实体的形式可以包括以下至少一种：数字、文字、符号等。在本实施例中，知识图谱可以包括用于表征视频的实体。作为示例，预先建立的用于表征某视频的实体可以为“v-abc”，其中，“v”表示该实体用于表征视频，“abc”是用于表征该视频的标识。另外，本实施例的知识图谱还可以包括用于表征除视频以外的其他事物或概念的实体。例如预先建立的用于表征某人物的实体可以为“p-xyz”，其中，“p”表示该实体用于表征人物，“xyz”是用于表征该人物的标识。
上述表征视频的实体可以具有对应的属性信息。属性信息可以是与实体表征的视频相关的信息，可以包括但不限于以下至少一种：与视频相关的人物(例如视频制作者、演员、导演等)信息、与视频相关的时间(例如上映时间、拍摄时间等)信息、视频的来源信息(例如视频的播放地址、视频所在的网站名称等)、以及其他与视频内容相关的信息(例如视频简介、剧照、海报图片等)等。通常，在知识图谱中，实体和属性信息的对应关系可以用三元组形式的数据结构来表示，即“实体-属性-属性值”，其中，实体的属性信息可以包括上述属性-属性值。例如，某三元组可以为“abc123-名称-XXX”，其中，“abc123”为用于表征电影《XXX》的实体，“名称”为一种属性，“XXX”为属性值。
在本实施例中，上述匹配单元502可以按照各种方法将搜索词与上述知识图谱中的实体的属性信息进行匹配，得到匹配结果。其中，匹配结果的数量可以是多个，每个匹配结果对应于知识图谱中的一个实体。例如，搜索词包括文字。实体的属性信息可以包括文本信息(例如各个演员的名称、对视频的内容的描述等)。上述匹配单元502可以从知识图谱中的实体中，将对应的属性信息包括的文本信息包括上述 搜索词的实体确定为匹配实体。需要说明的是，当搜索词的数量为至少一个时，上述匹配单元502可以将属性信息包括的文本信息包括上述至少一个搜索词中的全部搜索词或预设数量个搜索词的实体确定为匹配实体。
上述匹配单元502可以进一步根据上述匹配结果确定知识图谱中是否存在与搜索词相匹配的匹配实体。作为示例，当匹配结果是搜索词与知识图谱中的实体的属性信息包括的文本信息之间的相似度时，可以将大于等于预设的相似度阈值的相似度对应的实体确定为匹配实体。通常，匹配实体可以用于指示视频，视频可以是各种类型的视频，例如电影、电视剧、用户上传的小视频等。
在本实施例中，确定单元503可以响应于确定知识图谱中存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息。其中，输出方式还用于指示目标属性信息的排列顺序。
具体地，输出方式可以用某种可供用户选择的信息表征，且每种输出方式预先设置为对应于至少一种属性信息。例如，表征输出方式的信息可以包括“播放量”，当用户选择信息“播放量”时，则从匹配实体的属性信息中，选择匹配实体表征的视频在设定时间段内的播放量数据作为目标属性信息。并且，输出方式还可以表征播放量数据的排列顺序(例如由大到小)。通过执行本步骤，每个匹配实体可以对应于用户选择的输出方式对应的目标属性信息。
在本实施例中，输出单元504可以按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。通常，通常，目标属性信息可以包括数值，目标属性信息的排列顺序可以是数值的大小顺序。例如，当目标属性信息为匹配实体表征的视频的播放量时，上述输出单元504可以按照各个匹配实体对应的播放量的大小顺序，输出目标属性信息对应的匹配实体的相关信息。其中，匹配实体的相关信息可以是匹配实体的属性信息包括的信息，也可以是与匹配实体相关的其他信息(例如预先获取的、用户对匹配实体表征的视 频的评论、评分等)。作为示例，属性信息可以包括各种类型的子信息，子信息可以具有对应的标识或序号，以区分子信息的类别。上述输出单元504可以从属性信息中提取预设类别的子信息作为相关信息。
可选的，上述输出单元504可以以各种方式输出匹配实体的相关信息。例如，将匹配实体的相关信息按照目标属性信息的顺序，显示在与上述装置500连接的显示器上。或者，按照目标属性信息的顺序，依次将匹配实体的相关信息输出到与上述装置500通信连接的其他电子设备上。
在本实施例的一些可选的实现方式中，实体的属性信息可以包括视频来源信息，视频来源信息用于指示实体表征的视频的来源。
在本实施例的一些可选的实现方式中，输出方式还用于指示视频的来源；以及输出单元504可以进一步被配置成：对至少一个匹配实体中的、所对应的视频来源信息符合输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
在本实施例的一些可选的实现方式中，输出方式对应于至少一条属性信息；以及确定单元503可以进一步被配置成：确定与输出方式相对应的至少一条属性信息中的每条属性信息作为目标属性信息。
在本实施例的一些可选的实现方式中，输出单元504可以包括：计算模块(图中未示出)，被配置成对于至少一个匹配实体中的匹配实体，对该实体的至少一条目标属性信息进行加权求和计算，得到计算结果；输出模块(图中未示出)，被配置成按照用户选择的输出方式所指示的、所得到的计算结果的排列顺序，输出计算结果对应的匹配实体的相关信息。
在本实施例的一些可选的实现方式中，匹配实体的相关信息可以包括以下至少一种：匹配实体表征的视频的标题、匹配实体表征的视频的版本信息、匹配实体表征的视频的类型、匹配实体表征的视频的相关人物信息。
在本实施例的一些可选的实现方式中，目标属性信息可以包括以下至少一种：视频的播放量，视频的评分，视频的关注量。
本申请的上述实施例提供的装置，通过接收用户输入的搜索词，根据搜索词确定预先建立的知识图谱中是否存在匹配实体，如果存在至少一个匹配实体，基于用户选择的输出方式，从匹配实体的属性信息中确定与输出方式相对应的目标属性信息，最后按照目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息，从而可以通过输出排序后的匹配实体的相关信息，提高输出信息的针对性，有助于有针对性地向用户展示实体的相关信息。
下面参考图6，其示出了适于用来实现本申请实施例的服务器的计算机系统600的结构示意图。图6示出的服务器仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图6所示，计算机系统600包括中央处理单元(CPU)601，其可以根据存储在只读存储器(ROM)602中的程序或者从存储部分608加载到随机访问存储器(RAM)603中的程序而执行各种适当的动作和处理。在RAM 603中，还存储有系统600操作所需的各种程序和数据。CPU 601、ROM 602以及RAM 603通过总线604彼此相连。输入/输出(I/O)接口605也连接至总线604。
以下部件连接至I/O接口605：包括键盘、鼠标等的输入部分606；包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分607；包括硬盘等的存储部分608；以及包括诸如LAN卡、调制解调器等的网络接口卡的通信部分609。通信部分609经由诸如因特网的网络执行通信处理。驱动器610也根据需要连接至I/O接口605。可拆卸介质611，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器610上，以便于从其上读出的计算机程序根据需要被安装入存储部分608。
特别地，根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本公开的实施例包括一种计算机程序产品，其包括承载在计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信部分609从网络上被下载和安装，和/或从 可拆卸介质611被安装。在该计算机程序被中央处理单元(CPU)601执行时，执行本申请的方法中限定的上述功能。
需要说明的是，本申请所述的计算机可读介质可以是计算机可读信号介质或者计算机可读介质或者是上述两者的任意组合。计算机可读介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本申请中，计算机可读介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本申请中，计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：无线、电线、光缆、RF等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本申请的操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网 服务提供商来通过因特网连接)。
附图中的流程图和框图，图示了按照本申请各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，该模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本申请实施例中所涉及到的单元可以通过软件的方式实现，也可以通过硬件的方式来实现。所描述的单元也可以设置在处理器中，例如，可以描述为：一种处理器包括接收单元、匹配单元、确定单元和输出单元。其中，这些单元的名称在某种情况下并不构成对该单元本身的限定，例如，接收单元还可以被描述为“接收用户输入的搜索词的单元”。
作为另一方面，本申请还提供了一种计算机可读介质，该计算机可读介质可以是上述实施例中描述的服务器中所包含的；也可以是单独存在，而未装配入该服务器中。上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该服务器执行时，使得该服务器：接收用户输入的搜索词；将搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定知识图谱中是否存在匹配实体，其中，匹配实体是对应的属性信息与搜索词匹配的实体；响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于用户选择的输出方式，从该匹配实体的属性信息中，确定与输出方式相对应的属性信息作为目标属性信息，其中，输出方式还用于指示目标属性信息的排列顺序；按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
以上描述仅为本申请的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解，本申请中所涉及的发明范围，并不限于上述技术特征的特定组合而成的技术方案，同时也应涵盖在不脱离上述发明构思的情况下，由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本申请中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。

Claims (16)

  1. 一种用于输出信息的方法，包括：
    接收用户输入的搜索词；
    将所述搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定所述知识图谱中是否存在匹配实体，其中，所述匹配实体是对应的属性信息与所述搜索词匹配的实体；
    响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于所述用户选择的输出方式，从该匹配实体的属性信息中，确定与所述输出方式相对应的属性信息作为目标属性信息，其中，所述输出方式还用于指示目标属性信息的排列顺序；
    按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
  2. 根据权利要求1所述的方法，其中，实体的属性信息包括视频来源信息，视频来源信息用于指示实体表征的视频的来源。
  3. 根据权利要求2所述的方法，其中，所述输出方式还用于指示视频的来源；以及
    所述按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息，包括：
    对所述至少一个匹配实体中的、所对应的视频来源信息符合所述输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
  4. 根据权利要求1所述的方法，其中，所述输出方式对应于至少一条属性信息；以及
    所述确定与所述输出方式相对应的属性信息作为目标属性信息，包括：
    确定与所述输出方式相对应的至少一条属性信息中的每条属性信 息作为目标属性信息。
  5. 根据权利要求4所述的方法，其中，所述按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息，包括：
    对于所述至少一个匹配实体中的匹配实体，对该实体的至少一条目标属性信息进行加权求和计算，得到计算结果；
    按照用户选择的输出方式所指示的、所得到的计算结果的排列顺序，输出计算结果对应的匹配实体的相关信息。
  6. 根据权利要求1-5之一所述的方法，其中，匹配实体的相关信息包括以下至少一种：匹配实体表征的视频的标题、匹配实体表征的视频的版本信息、匹配实体表征的视频的类型、匹配实体表征的视频的相关人物信息。
  7. 根据权利要求1-5之一所述的方法，其中，目标属性信息包括以下至少一种：视频的播放量，视频的评分，视频的关注量。
  8. 一种用于输出信息的装置，包括：
    接收单元，被配置成接收用户输入的搜索词；
    匹配单元，被配置成将所述搜索词与预先建立的知识图谱中的、表征视频的实体的属性信息进行匹配，以确定所述知识图谱中是否存在匹配实体，其中，所述匹配实体是对应的属性信息与所述搜索词匹配的实体；
    确定单元，被配置成响应于确定存在至少一个匹配实体，对于所确定的至少一个匹配实体中的匹配实体，基于所述用户选择的输出方式，从该匹配实体的属性信息中，确定与所述输出方式相对应的属性信息作为目标属性信息，其中，所述输出方式还用于指示目标属性信息的排列顺序；
    输出单元，被配置成按照所确定的目标属性信息的排列顺序，输 出目标属性信息对应的匹配实体的相关信息。
  9. 根据权利要求8所述的装置，其中，实体的属性信息包括视频来源信息，视频来源信息用于指示实体表征的视频的来源。
  10. 根据权利要求9所述的装置，其中，所述输出方式还用于指示视频的来源；以及
    所述输出单元进一步被配置成：
    对所述至少一个匹配实体中的、所对应的视频来源信息符合所述输出方式指示的来源的匹配实体，按照所确定的目标属性信息的排列顺序，输出目标属性信息对应的匹配实体的相关信息。
  11. 根据权利要求8所述的装置，其中，所述输出方式对应于至少一条属性信息；以及
    所述确定单元进一步被配置成：
    确定与所述输出方式相对应的至少一条属性信息中的每条属性信息作为目标属性信息。
  12. 根据权利要求11所述的装置，其中，所述输出单元包括：
    计算模块，被配置成对于所述至少一个匹配实体中的匹配实体，对该实体的至少一条目标属性信息进行加权求和计算，得到计算结果；
    输出模块，被配置成按照用户选择的输出方式所指示的、所得到的计算结果的排列顺序，输出计算结果对应的匹配实体的相关信息。
  13. 根据权利要求8-12所述的装置，其中，匹配实体的相关信息包括以下至少一种：匹配实体表征的视频的标题、匹配实体表征的视频的版本信息、匹配实体表征的视频的类型、匹配实体表征的视频的相关人物信息。
  14. 根据权利要求8-12之一所述的装置，其中，目标属性信息包 括以下至少一种：视频的播放量，视频的评分，视频的关注量。
  15. 一种服务器，包括：
    一个或多个处理器；
    存储装置，其上存储有一个或多个程序，
    当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-7中任一所述的方法。
  16. 一种计算机可读介质，其上存储有计算机程序，其中，该程序被处理器执行时实现如权利要求1-7中任一所述的方法。
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