CN109189984B

CN109189984B - Method and device for displaying information

Info

Publication number: CN109189984B
Application number: CN201810929431.4A
Authority: CN
Inventors: 程军; 桂佳; 李棱; 唐敬亚
Original assignee: Baidu Online Network Technology Beijing Co Ltd
Current assignee: Baidu Online Network Technology Beijing Co Ltd
Priority date: 2018-08-15
Filing date: 2018-08-15
Publication date: 2022-04-19
Anticipated expiration: 2038-08-15
Also published as: CN109189984A

Abstract

The embodiment of the application discloses a method and a device for displaying information. One embodiment of the method comprises: matching the received to-be-processed search information with a target query relation table, and determining a first search result grade corresponding to the to-be-processed search information; and setting a first display sequence number for the video search result corresponding to the to-be-processed search information in response to the first search result being higher than the set level, and displaying the search result. The embodiment improves the efficiency of obtaining information by the user.

Description

Method and device for displaying information

Technical Field

The embodiment of the application relates to the technical field of data processing, in particular to a method and a device for displaying information.

Background

With the popularization of networks and the development of information technologies, massive information is spread among terminals connected with the networks, and the convenience of obtaining information by users is greatly improved. In order to obtain some information, a user may input search information related to the information in a search engine, and then obtain a large amount of result information related to the search information.

Disclosure of Invention

The embodiment of the application provides a method and a device for displaying information.

In a first aspect, an embodiment of the present application provides a method for displaying information, where the method includes: matching the received to-be-processed search information with a target query relation table, and determining a first search result grade corresponding to the to-be-processed search information, wherein the target query relation table is used for representing the corresponding relation between the to-be-processed search information and the first search result grade, and the first search result grade is used for representing the probability that the search result corresponding to the to-be-processed search information is a video; and in response to the fact that the first search result level is higher than the set level, setting a first display sequence number for the video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the first display sequence number is used for displaying the video search result in the search result before the non-video search result.

In some embodiments, the above method further comprises: in response to that a first search result grade corresponding to the to-be-processed search information cannot be determined, matching the to-be-processed search information with a term query relation table, and determining a second search result grade corresponding to the to-be-processed search information, wherein the term query relation table is used for representing a corresponding relation between terms contained in the to-be-processed search information and the second search result grade, and the second search result grade is used for representing the probability that a search result corresponding to the terms contained in the to-be-processed search information is a video; and in response to the second search result level being higher than the set level, setting a second display sequence number for the video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the second display sequence number is used for displaying the video search result in the search result before the non-video search result.

In some embodiments, the target lookup table is constructed by: dividing historical search information according to the type of video information to obtain an information query relation table, wherein the historical search information comprises historical search keyword information and historical search result information corresponding to the historical search keyword information, and the information query relation table comprises search keyword information and search result information corresponding to the search keyword information; and calculating the grade of the search result according to the quantity of the search keyword information and the quantity of the search result information in the information query relation table, and establishing a target query relation table according to the grade of the search result, wherein the grade of the search result is used for representing the proportion of the search result information of the video information type.

In some embodiments, the dividing the historical search information according to the video information type to obtain the information query relationship table includes: acquiring at least two historical search information sets, wherein the search modes corresponding to the historical search information sets in the at least two historical search information sets are different from each other; and for the historical search information sets contained in the at least two historical search information sets, dividing the historical search result information contained in the historical search information sets according to the video information types to obtain an information query relation table corresponding to the video information types.

In some embodiments, the calculating the search result level according to the number of the search keyword information and the number of the search result information in the information query relation table, and establishing the target query relation table according to the search result level includes: calculating an initial search result grade of each piece of search keyword information and corresponding to the video information type according to the quantity of the search keyword information and the quantity of the search result information in the information query relation table, and constructing the initial query relation table according to the search keyword information and the initial search result grade, wherein the initial search result grade is used for representing the proportion of the search keyword information and the search result information corresponding to the video information type; and obtaining the characteristic entries corresponding to the search keyword information in the initial query relation table, and constructing a target query relation table according to the characteristic entries.

In some embodiments, the obtaining the feature entries corresponding to the search keyword information in the initial query relationship table and constructing the target query relationship table according to the feature entries includes: performing semantic analysis on the search keyword information in the initial query relation table to obtain a characteristic entry; inquiring at least one piece of search keyword information corresponding to the characteristic entry, and calculating a first search result grade of the characteristic entry according to the quantity of the at least one piece of search keyword information and the quantity of search result information corresponding to the at least one piece of search keyword information, wherein the first search result grade is used for representing the proportion of the search result information corresponding to the search keyword information of the characteristic entry and corresponding to the video information type; carrying out word sense expansion on the characteristic entries to obtain an expanded search keyword information set; and constructing a target query relation table according to the expanded search keyword information set and the first search result level.

In some embodiments, the term query relation table is constructed by the following steps: performing entry division on the expanded search keyword information contained in the expanded search keyword information set in the target query relation table to obtain a reference entry set; weighting a first search result grade corresponding to the reference entry for the same reference entry in the reference entry set to obtain a second search result grade of the reference entry; and constructing a term query relation table according to the reference terms and second search result levels corresponding to the reference terms, wherein the second search result levels are used for representing the proportion of the reference terms to the search result information corresponding to the video information type.

In a second aspect, an embodiment of the present application provides an apparatus for displaying information, the apparatus including: the first search result grade determining unit is configured to match the received to-be-processed search information with a target query relation table, and determine a first search result grade corresponding to the to-be-processed search information, wherein the target query relation table is used for representing a corresponding relation between the to-be-processed search information and the first search result grade, and the first search result grade is used for representing the probability that a search result corresponding to the to-be-processed search information is a video; and the first information display unit is used for responding to the first search result level higher than the set level, setting a first display sequence number for the video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the first display sequence number is used for displaying the video search result in the search result before the non-video search result.

In some embodiments, the above apparatus further comprises: the second search result grade determining unit is used for responding to the situation that the first search result grade corresponding to the to-be-processed search information cannot be determined, matching the to-be-processed search information with a term query relation table, and determining a second search result grade corresponding to the to-be-processed search information, wherein the term query relation table is used for representing the corresponding relation between terms contained in the to-be-processed search information and the second search result grade, and the second search result grade is used for representing the probability that the search results corresponding to the terms contained in the to-be-processed search information are videos; and a second information display unit, in response to the second search result level being higher than the set level, configured to set a second display number for displaying a video search result in the search results before a non-video search result, and to display the search results, wherein the second display number is used for displaying the video search result in the search results.

In some embodiments, the apparatus further includes a target query relationship table building unit configured to build a target query relationship table, where the target query relationship table building unit includes: the information query relation table obtaining subunit is configured to divide historical search information according to the video information types to obtain an information query relation table, wherein the historical search information comprises historical search keyword information and historical search result information corresponding to the historical search keyword information, and the information query relation table comprises search keyword information and search result information corresponding to the search keyword information; and the target query relation table acquisition subunit is configured to calculate a search result grade according to the number of the search keyword information and the number of the search result information in the information query relation table, and establish the target query relation table according to the search result grade, wherein the search result grade is used for representing the proportion of the search result information of the video information type.

In some embodiments, the information lookup relation table obtaining subunit includes: the historical search information set acquisition module is configured to acquire at least two historical search information sets, wherein the search modes corresponding to the historical search information sets in the at least two historical search information sets are different from each other; and the information query relation table acquisition module is configured to divide the historical search result information contained in the historical search information sets according to the video information types to obtain the information query relation table corresponding to the video information types for the historical search information sets contained in the at least two historical search information sets.

In some embodiments, the target lookup table obtaining subunit includes: the initial query relation table building module is configured to calculate an initial search result grade corresponding to the video information type of each piece of search keyword information according to the number of the search keyword information and the number of the search result information in the information query relation table, and build an initial query relation table according to the search keyword information and the initial search result grade, wherein the initial search result grade is used for representing the proportion of the search result information corresponding to the video information type of the search keyword information; and the target query relation table building module is configured to obtain the characteristic entries corresponding to the search keyword information in the initial query relation table, and build the target query relation table according to the characteristic entries.

In some embodiments, the target query relationship table building module includes: the characteristic entry acquisition sub-module is configured to perform semantic analysis on the search keyword information in the initial query relation table to obtain a characteristic entry; a first search result level calculation sub-module configured to query at least one piece of search keyword information corresponding to the feature entry, and calculate a first search result level of the feature entry according to the number of the at least one piece of search keyword information and the number of search result information corresponding to the at least one piece of search keyword information, wherein the first search result level is used for representing the proportion of the search result information corresponding to the video information type of the search keyword information corresponding to the feature entry; the word sense expansion submodule is configured to carry out word sense expansion on the characteristic entries to obtain an expanded search keyword information set; and the target query relation table construction sub-module is configured to construct a target query relation table according to the expanded search keyword information set and the first search result level.

In some embodiments, the apparatus further includes an entry lookup table constructing unit configured to construct an entry lookup table, where the entry lookup table constructing unit includes: a reference entry set obtaining subunit configured to perform entry division on the extended search keyword information included in the extended search keyword information set in the target query relationship table to obtain a reference entry set; a second search result level obtaining subunit, configured to, for a same reference entry in the reference entry set, weight the first search result level corresponding to the reference entry to obtain a second search result level of the reference entry; and the vocabulary entry query relation table construction subunit is configured to construct a vocabulary entry query relation table according to the reference vocabulary entry and a second search result level corresponding to the reference vocabulary entry, wherein the second search result level is used for representing the proportion of the reference vocabulary entry to the search result information corresponding to the video information type.

In a third aspect, an embodiment of the present application provides a server, including: one or more processors; a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to perform the method for displaying information of the first aspect.

In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for displaying information of the first aspect.

The method and the device for displaying information provided by the embodiment of the application are characterized in that firstly, received to-be-processed search information is matched with a target query relation table to obtain a first search result grade corresponding to the to-be-processed search information, wherein the first search result grade is used for representing the probability that a search result corresponding to the to-be-processed search information is a video; then, when the first search result level is higher than the set level, a first display sequence number is set for the video search result corresponding to the search information to be processed, so that the video search result is displayed before the non-video search result, and the information acquisition efficiency of a user is improved.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of a method for displaying information according to the present application;

FIG. 3 is a schematic illustration of an application scenario of a method for displaying information according to the present application;

FIG. 4 is a flow diagram of yet another embodiment of a method for displaying information according to the present application;

FIG. 5 is a schematic diagram of an embodiment of an apparatus for displaying information according to the present application;

FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

Fig. 1 illustrates an exemplary system architecture 100 to which a method for displaying information or an apparatus for displaying information of an embodiment of the present application may be applied.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have various information search applications installed thereon, such as a web browser application, a search-type application, an instant messaging tool, and the like.

The

terminal apparatuses

101, 102, and 103 may be hardware or software. When the

terminal devices

101, 102, 103 are hardware, they may be various electronic devices having a display screen and supporting information search, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the

terminal apparatuses

101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.

The server 105 may be a server that provides various services, such as a server that performs data processing on to-be-processed search information sent from the

terminal apparatuses

101, 102, 103. The server can perform data processing on the search information to be processed, determine the probability of searching videos by the search information to be processed, and display the search results in a sequencing mode according to the probability.

It should be noted that the method for displaying information provided in the embodiment of the present application is generally performed by the server 105, and accordingly, the apparatus for displaying information is generally disposed in the server 105.

The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow 200 of one embodiment of a method for displaying information in accordance with the present application is shown. The method for displaying information comprises the following steps:

step 201, matching the received to-be-processed search information with a target query relation table, and determining a first search result grade corresponding to the to-be-processed search information.

In the present embodiment, an execution subject of the method for displaying information (e.g., the server 105 shown in fig. 1) may receive the to-be-processed search information from a terminal with which the user performs information search through a wired connection manner or a wireless connection manner. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.

When a user inputs a search keyword at a search engine, the search engine may present search result information related to the search keyword to the user. The search result information is often displayed in chronological order or in a position in front of the search result information with the most repeated search keywords. For some search keywords, the corresponding search result information may be different types of files such as text information, image information, video information, and the like. Within a certain time period, a user may be more interested in a certain type of search result information. The existing searching method is not easy to make accurate judgment on the type of the searching result information desired by the user. Therefore, in the existing method, after the search result information is obtained by searching the keyword, the user is required to further search the required information from the result information, and the efficiency of obtaining the information by the user is reduced.

In the method, after receiving the to-be-processed search information sent by the user through the browsers on the

terminal devices

101, 102 and 103, the execution main body does not directly display the search result information corresponding to the to-be-processed search information to the user, but firstly matches the to-be-processed search information through the target query relation table to determine the first search result grade corresponding to the to-be-processed search information. The target query relation table may be used to represent a corresponding relation between the to-be-processed search information and a first search result level, and the first search result level may be used to represent a probability that a search result corresponding to the to-be-processed search information is a video.

In some optional implementations of this embodiment, the target lookup table is constructed by:

the method comprises the steps of firstly, dividing historical search information according to video information types to obtain an information query relation table.

To determine the user's propensity to obtain information, the executing entity may obtain historical search information for a certain period of time. Generally, the number of video search results is small compared with the number of search results of other information types, and the existing general search engine has a poor effect on video search when searching for information. Therefore, the historical search information can be divided according to the video information type to obtain the information query relation table. The history search information may include history search keyword information and history search result information corresponding to the history search keyword information. The historical search result information may select the search result information that has been browsed by the user for the longest time (which may be considered as information really needed by the user). That is, the history search keyword information and the history search result information are a pair of information (i.e., one piece of history search keyword information corresponds to one piece of history search result information). The information query relation table may include search keyword information and search result information corresponding to the search keyword information. The search keyword information in the information query relation table can be regarded as historical search keyword information corresponding to historical search result information containing video information types; the search result information in the information lookup relationship table may be considered as historical search result information containing the type of video information.

And secondly, calculating the grade of the search result according to the quantity of the search keyword information and the quantity of the search result information in the information query relation table, and establishing a target query relation table according to the grade of the search result.

The number of search keyword information and the number of search result information may largely characterize the possibility that the user searches for video information. Accordingly, the search result ranking may be calculated by the number of search keyword information and the number of search result information. Wherein the search result ranking may be used to characterize a weight of the search result information of the video information type. The executing entity may then build a target query relationship table based on the search result rankings.

In some optional implementation manners of this embodiment, the dividing the historical search information according to the video information type to obtain the information query relation table may include the following steps:

in the first step, at least two historical search information sets are obtained.

In order to improve the accuracy of the search result information corresponding to the to-be-processed search information, the present embodiment may acquire at least two sets of historical search information. The searching modes corresponding to the historical searching information sets in the at least two historical searching information sets are different from each other. For example, the historical search information set may be historical information of a general search engine, and may also be historical information of a search engine in a video website, and the like, and the general search engine may find many different types of search result information corresponding to the search keyword information. The search engine in the video website is used for searching the video search result information in the current video website or other video websites. The search mode may be other types, and is not described in detail herein.

And secondly, dividing historical search result information contained in the historical search information sets according to video information types for the historical search information sets contained in the at least two historical search information sets to obtain an information query relation table corresponding to the video information types.

The execution main body can perform information type query on the historical search result information, find out historical search keyword information corresponding to the historical search result information of the video information type, and then obtain all historical search result information of the historical search keyword information; and finally, obtaining an information query relation table through the historical search keyword information (namely, search keyword information) and all historical search result information (namely, search result information) corresponding to the historical search keyword information.

In some optional implementation manners of this embodiment, the calculating a search result level according to the number of the search keyword information and the number of the search result information in the information query relationship table, and establishing the target query relationship table according to the search result level may include the following steps:

the method comprises the steps of firstly, calculating an initial search result grade of each piece of search keyword information and corresponding to the video information type according to the quantity of the search keyword information and the quantity of the search result information in the information query relation table, and constructing the initial query relation table according to the search keyword information and the initial search result grade.

As can be seen from the above description, the search keyword information of the information query relation table corresponds to search result information of a plurality of information types. The embodiment can sort out the search result information of the video information type. And then calculating the proportion of the search result information of the video information type in all the search result information to obtain the initial search result grade corresponding to the search keyword information. The initial search result level may be used to represent a weight of search result information corresponding to a video information type of the search keyword information. For example, a certain search keyword information appears 1000 times in the information query relation table, and there are 1000 pieces of search result information. Of these, 500 are search result information of the video information type. It can be known that the video information type of search result information accounts for 50% of the entire search result information. The technician can divide the proportion of the search result information of a certain information type to the whole search result information. For example, the set ratio may be 30% and 50%. If the ratio is greater than 50%, it can be considered that search result information of the video information type is required when the user searches for corresponding search keyword information. For convenience of classification, a first grade can be set for the corresponding search keyword when the proportion is greater than 50%; if the ratio is between 30% and 50%, it may be considered that there is a low possibility that the user needs the video information type search result information when searching for the corresponding search keyword information. When the ratio is between 30% and 50%, a second rank may be set for the corresponding search keyword; if the ratio is less than 30%, it can be considered that the user does not need the video information type search result information basically when searching for the corresponding search keyword information. When the ratio is less than 30%, a third rank may be set for the corresponding search keyword. For a specific piece of search keyword information, the corresponding initial search result level may be any one of the first level, the second level, and the third level. In order to improve the accuracy of the search result information, the corresponding search keyword information with the proportion of more than 50% can be selected, and an initial query relation table is constructed through the corresponding search keyword information with the proportion of more than 50% and the corresponding initial search result grade. Other types of grades can be set for the search keywords, and the details are not repeated here.

And secondly, acquiring a characteristic entry corresponding to the search keyword information in the initial query relation table, and constructing a target query relation table according to the characteristic entry.

In practice, a user may employ a variety of search keyword information for the same purpose search result information. Therefore, the execution main body in the embodiment can acquire the feature entries corresponding to the search keyword information in the initial query relation table, and construct the target query relation table according to the feature entries, so as to improve the accuracy of acquiring the same search result information through different search keyword information by the user.

In some optional implementation manners of this embodiment, the obtaining of the feature entries corresponding to the search keyword information in the initial query relationship table and constructing the target query relationship table according to the feature entries may include the following steps:

firstly, semantic analysis is carried out on the search keyword information in the initial query relation table to obtain a characteristic entry.

In order to obtain the same search result information through different search keyword information, the execution main body can perform semantic analysis on the search keyword information in the initial query relation table to obtain the feature entries. For example, the search keyword information may be: "how to fold a paper plane" and "paper folding plane tutorials". The feature entries corresponding to the two search keyword information may be: "fold _ paper plane _ method".

And secondly, inquiring at least one piece of search keyword information corresponding to the characteristic entry, and calculating a first search result grade of the characteristic entry according to the quantity of the at least one piece of search keyword information and the quantity of the search result information corresponding to the at least one piece of search keyword information.

In practice, the information of the search keywords input by different users may be different, and the information of the search results corresponding to different search keywords may also be different. To this end, the execution main body may find at least one piece of search keyword information corresponding to the feature term from the history search information. Then, the execution subject searches for search result information corresponding to the at least one piece of search keyword information. And finally, calculating a first search result grade of the characteristic entry according to the quantity of the at least one piece of search keyword information and the quantity of the search result information corresponding to the at least one piece of search keyword information. The first search result level may be used to represent a proportion of search result information corresponding to the video information type of the search keyword information corresponding to the feature entry. For example, the feature entries may be: the searched search keyword information corresponding to the feature entry comprises: "how to fold a paper plane" and "paper folding plane tutorials". The number of pieces of search result information corresponding to the 'how to fold the paper plane' is 100, and the number of pieces of search result information corresponding to the type of the video information is 50; the number of the search result information corresponding to the paper folding aircraft tutorial is 50, and the number of the search result information corresponding to the video information type is 20. The feature term "fold _ paper plane _ method" may be considered to have 150 pieces of search result information and 70 pieces of search result information of the video information type. Thereafter, a first search result rank for the feature term may be computed. Similar to the initial search result ranking described above, the first search result ranking may also be any of the first ranking, the second ranking, and the third ranking described above.

And thirdly, carrying out word sense expansion on the characteristic entries to obtain an expanded search keyword information set.

In order to improve the accuracy of obtaining the search result information as much as possible, the execution main body can also perform word sense expansion on the characteristic entries to obtain expanded search keyword information. And then constructing an expanded search keyword information set according to the expanded search keyword information. For example, the expanded search keyword information obtained by semantic expansion of the feature term "paper folding aircraft method" may be: "paper plane tutorial", "method of paper folding plane", "several typical paper planes", etc.

And fourthly, constructing a target query relation table according to the expanded search keyword information set and the first search result grade.

After the extended search keyword information set is obtained, it can be considered that any one piece of extended search keyword information in the extended search keyword information set is the same as the search result level of the feature entry and is the first search result level.

Step 202, in response to that the first search result is higher than the set level, setting a first display sequence number for the video search result corresponding to the search information to be processed, and displaying the search result.

And when the first search result level is higher than the set level, the probability that the search result corresponding to the to-be-processed search information is the video is higher. At this time, the execution main body may set a first display order number for the video search result corresponding to the search information to be processed. Search results may be divided into video search results and non-video search results (e.g., web pages, images, etc.). The first display order may be used to display a video search result in the search results before a non-video search result. For example, the level is set to the second level, and the first search result level is set to the first level. If there are 10 videos in the search result, the execution subject sets a first display number for the 10 video search results and displays the search result such that the 10 video search results are displayed in front of the non-video type search result.

If the grade of the first search result obtained through the steps is not higher than the set grade, the correlation between the search information to be processed and the search result information of the video information type is small. At this time, the executing subject may rank non-video search results (e.g., text, pictures, etc.) before video information type search results.

With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for displaying information according to the present embodiment. In the application scenario of fig. 3, a user inputs the to-be-processed search information "paper plane tutorial" through the search engine on the terminal device 102, wants to acquire video search result information, and sends the to-be-processed search information to the server 105 through the network 104. After receiving the to-be-processed search information "paper aircraft tutorial", the server 105 matches the to-be-processed search information "paper aircraft tutorial" with the target query relationship table, and determines that the first search result level of the "paper aircraft tutorial" is the first level and higher than the set level. Then, the server 105 sets a first display sequence number for the video search result information corresponding to the "paper aircraft tutorial" so that the video search result is displayed before the non-video search result.

The method provided by the embodiment of the application comprises the steps of firstly, matching received to-be-processed search information with a target query relation table to obtain a first search result grade corresponding to the to-be-processed search information, wherein the first search result grade is used for representing the probability that a search result corresponding to the to-be-processed search information is a video; then, when the first search result level is higher than the set level, a first display sequence number is set for the video search result corresponding to the search information to be processed, so that the video search result is displayed before the non-video search result, and the information acquisition efficiency of a user is improved.

With further reference to fig. 4, a flow 400 of yet another embodiment of a method for displaying information is shown. The process 400 of the method for displaying information includes the steps of:

step 401, matching the received to-be-processed search information with a target query relation table, and determining a first search result grade corresponding to the to-be-processed search information.

The content of step 401 is the same as that of step 201, and is not described herein again.

Step 402, in response to that the first search result grade corresponding to the to-be-processed search information cannot be determined, matching the to-be-processed search information with the entry query relation table, and determining a second search result grade corresponding to the to-be-processed search information.

The target query relation table may be used to represent a corresponding relation between the to-be-processed search information and the first search result level. When the to-be-processed search information input by the user does not exist in the target query relation table, the first search result grade corresponding to the to-be-processed search information cannot be determined through the target query relation table. At this time, the execution subject may further match the to-be-processed search information through the term query relation table. The term query relation table may be used to represent a correspondence between terms included in the to-be-processed search information and the second search result level. The possibility of determining the second search result level corresponding to the search information to be processed can be greatly improved by the term matching mode. The second search result level may be used to represent the probability that the search result corresponding to the entry included in the to-be-processed search information is a video.

In some optional implementation manners of this embodiment, the term query relationship table is constructed by the following steps:

the first step is to divide the entries of the expanded search keyword information contained in the expanded search keyword information set in the target query relation table to obtain a reference entry set.

For example, the expanded search keyword information may be: "paper plane tutorial", "method of paper folding plane", "paper plane video". The 'paper plane' and 'tutorial' reference entries can be obtained after the 'paper plane tutorial' entry is divided; three reference entries of 'folding', 'paper plane' and 'method' can be obtained after the entry of 'method of folding plane' is divided; the terms of the paper plane video are divided into two reference terms of the paper plane and the video. The reference entries contained in the reference entry set may be: "paper plane", "tutorial", "book", "paper plane", "method", "paper plane" and "video".

And secondly, weighting the first search result grade corresponding to the reference entry for the same reference entry in the reference entry set to obtain a second search result grade of the reference entry.

The target query relationship table may contain a plurality of sets of expanded search keyword information. Each set of expanded search keyword information in turn corresponds to a first search result level. After the entry division, the extended search keyword information in different extended search keyword information sets may have the same reference entry. For example, the extended search keyword information "paper plane tutorial" and "method of folding a paper plane" may be from the same extended search keyword information set, and the "paper plane video" may be from another extended search keyword information set. After the reference entry set is obtained, the execution main body may perform weighted combination on the first search result rank corresponding to the reference entry to obtain a second search result rank of the reference entry. For example, the reference word "paper plane" is included in "paper plane tutorial", "method of paper folding plane" and "paper plane video". Also, since the "paper plane tutorial" and the "method of paper folding plane" come from the same set of extended search keyword information, which corresponds to the same first search result level, the first search result level may be a second level. The "paper airplane video" may correspond to another first search result ranking, which may be a first ranking. The second search result level of the reference entry "paper plane" may be determined according to the number of pieces of expanded search keyword information included in the expanded search keyword information set corresponding to the "paper plane tutorial" and the "paper folding plane method", and the number of pieces of expanded search keyword information included in the expanded search keyword information set corresponding to the "paper plane video". When the number of pieces of expanded search keyword information included in the expanded search keyword information set corresponding to the "paper plane tutorial" and the "paper folding plane method" is much larger than the number of pieces of expanded search keyword information included in the expanded search keyword information set corresponding to the "paper plane video", the second search result level of the reference entry "paper plane" may be set to the second level, otherwise, the second search result level of the reference entry "paper plane" may be set to the first level. Alternatively, the highest rank corresponding to the first search result rank is set as the second search result rank (which may be the first rank, for example) of the reference term "paper plane". The second search result level may also be set in other manners, which is not described herein any more.

And thirdly, constructing a term query relation table according to the reference terms and the second search result levels corresponding to the reference terms.

After the base entry and the corresponding second search result level are determined, the execution subject may construct an entry lookup table. The second search result level may be used to represent a weight of the reference entry corresponding to the search result information of the video information type.

Step 403, in response to that the second search result level is higher than the set level, setting a second display sequence number for the video search result corresponding to the search information to be processed, and displaying the search result.

Here similar to step 202 described above. And when the second search result level is higher than the set level, the probability that the search result corresponding to the to-be-processed search information is the video is higher. At this time, the execution main body may set a second display order number for the video search result corresponding to the search information to be processed. The second display sequence number may be used to display a video search result in the search results before a non-video search result.

If the grade of the second search result obtained through the steps is still not higher than the set grade, the correlation between the search information to be processed and the search result information of the video information type is small. At this time, the executing subject may rank non-video search results (e.g., text, pictures, etc.) before video information type search results.

With further reference to fig. 5, as an implementation of the methods shown in the above figures, the present application provides an embodiment of an apparatus for displaying information, which corresponds to the method embodiment shown in fig. 2 or fig. 4, and which is particularly applicable to various electronic devices.

As shown in fig. 5, the apparatus 500 for displaying information of the present embodiment may include: a first search result rank determination unit 501 and a first information display unit 502. The first search result level determining unit 501 is configured to match the received to-be-processed search information with a target query relationship table, and determine a first search result level corresponding to the to-be-processed search information, where the target query relationship table is used to represent a corresponding relationship between the to-be-processed search information and the first search result level, and the first search result level is used to represent a probability that a search result corresponding to the to-be-processed search information is a video; the first information display unit 502, in response to the first search result ranking being higher than the set ranking, is configured to set a first display ranking for the video search result corresponding to the to-be-processed search information, and to display the search result, the first display ranking being used to display the video search result in the search result before the non-video search result.

In some optional implementations of this embodiment, the apparatus 500 for displaying information may further include: a second search result rank determination unit 503 and a second information display unit 504. The second search result level determining unit 503, in response to that the first search result level corresponding to the search information to be processed cannot be determined, is configured to match the search information to be processed with a term query relationship table, and determine a second search result level corresponding to the search information to be processed, where the term query relationship table is used to represent a correspondence between terms contained in the search information to be processed and the second search result level, and the second search result level is used to represent a probability that a search result corresponding to the terms contained in the search information to be processed is a video; and a second information display unit 504, configured to set a second display number for displaying a video search result in the search results before a non-video search result in response to the second search result level being higher than the set level, and to display the search results.

In some optional implementations of this embodiment, the apparatus 500 for displaying information may further include a target query relationship table building unit (not shown in the figure) configured to build a target query relationship table, where the target query relationship table building unit may include: an information lookup relation table acquisition sub-unit (not shown in the figure) and a target lookup relation table acquisition sub-unit (not shown in the figure). The information query relation table obtaining subunit is configured to divide historical search information according to the video information types to obtain an information query relation table, wherein the historical search information comprises historical search keyword information and historical search result information corresponding to the historical search keyword information, and the information query relation table comprises search keyword information and search result information corresponding to the search keyword information; the target query relation table obtaining subunit is configured to calculate a search result grade according to the number of the search keyword information and the number of the search result information in the information query relation table, and establish the target query relation table according to the search result grade, wherein the search result grade is used for representing the proportion of the search result information of the video information type.

In some optional implementation manners of this embodiment, the information query relation table obtaining subunit may include: a history search information collection acquisition module (not shown in the figure) and an information query relation table acquisition module (not shown in the figure). The historical search information set acquisition module is configured to acquire at least two historical search information sets, wherein the search modes corresponding to the historical search information sets in the at least two historical search information sets are different from each other; and the information query relation table acquisition module is configured to divide the historical search result information contained in the historical search information sets according to the video information types to obtain the information query relation table corresponding to the video information types for the historical search information sets contained in the at least two historical search information sets.

In some optional implementation manners of this embodiment, the target query relationship table obtaining subunit may include: an initial query relation table building module (not shown in the figure) and a target query relation table building module (not shown in the figure). The initial query relation table building module is configured to calculate an initial search result grade corresponding to the video information type of each piece of search keyword information according to the number of the search keyword information and the number of the search result information in the information query relation table, and build an initial query relation table according to the search keyword information and the initial search result grade, wherein the initial search result grade is used for representing the proportion of the search result information corresponding to the video information type of the search keyword information; the target query relation table building module is configured to obtain the feature entries corresponding to the search keyword information in the initial query relation table, and build a target query relation table according to the feature entries.

In some optional implementation manners of this embodiment, the target query relationship table building module may include: the system comprises a characteristic entry obtaining sub-module (not shown in the figure), a first search result level calculating sub-module (not shown in the figure), a word sense expanding sub-module (not shown in the figure) and a target query relation table constructing sub-module (not shown in the figure). The characteristic entry acquisition sub-module is configured to perform semantic analysis on the search keyword information in the initial query relation table to obtain a characteristic entry; the first search result grade calculation sub-module is configured to inquire at least one piece of search keyword information corresponding to the characteristic entry, and calculate a first search result grade of the characteristic entry according to the quantity of the at least one piece of search keyword information and the quantity of the search result information corresponding to the at least one piece of search keyword information, wherein the first search result grade is used for representing the proportion of the search result information corresponding to the video information type and corresponding to the search keyword information of the characteristic entry; the word sense expansion submodule is configured to carry out word sense expansion on the characteristic entries to obtain an expanded search keyword information set; the target query relationship table construction sub-module is configured to construct a target query relationship table based on the set of expanded search keyword information and the first search result ranking.

In some optional implementations of this embodiment, the apparatus 500 for displaying information may further include an entry query relationship table building unit (not shown in the figure) configured to build an entry query relationship table, where the entry query relationship table building unit may include: the system comprises a reference entry set acquisition subunit, a second search result level acquisition subunit and an entry query relation table construction subunit. The basic entry set acquisition subunit is configured to perform entry division on the extended search keyword information contained in the extended search keyword information set in the target query relation table to obtain a basic entry set; a second search result level obtaining subunit, configured to, for a same reference entry in the reference entry set, weight the first search result level corresponding to the reference entry to obtain a second search result level of the reference entry; the term query relation table construction subunit is configured to construct the term query relation table according to the reference term and a second search result level corresponding to the reference term, wherein the second search result level is used for representing the proportion of the reference term to the search result information corresponding to the video information type.

The present embodiment further provides a server, including: one or more processors; a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to perform the above-described method for displaying information.

The present embodiment also provides a computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the above-mentioned method for displaying information.

Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use in implementing a server (e.g., server 105 of FIG. 1) of an embodiment of the present application is shown. The server shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to 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 display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or 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 needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601.

It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first search result rank determination unit, a first information display unit, a second search result rank determination unit, and a second information display unit. Where the names of these units do not in some cases constitute a limitation on the unit itself, for example, the second information display unit may also be described as "a unit for displaying a video search result determined by looking up the relationship table by the term".

As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: matching the received to-be-processed search information with a target query relation table, and determining a first search result grade corresponding to the to-be-processed search information, wherein the target query relation table is used for representing the corresponding relation between the to-be-processed search information and the first search result grade, and the first search result grade is used for representing the probability that the search result corresponding to the to-be-processed search information is a video; and in response to the fact that the first search result level is higher than the set level, setting a first display sequence number for the video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the first display sequence number is used for displaying the video search result in the search result before the non-video search result.

The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims

1. A method for displaying information, comprising:

matching the received to-be-processed search information with a target query relation table, and determining a first search result grade corresponding to the to-be-processed search information, wherein the target query relation table is used for representing the corresponding relation between the to-be-processed search information and the first search result grade, and the first search result grade is used for representing the probability that the search result corresponding to the to-be-processed search information is a video;

responding to the fact that the first search result level is higher than a set level, setting a first display sequence number for a video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the first display sequence number is used for displaying the video search result in the search result in front of a non-video search result;

in response to the fact that a first search result grade corresponding to the to-be-processed search information cannot be determined, matching the to-be-processed search information with a term query relation table, and determining a second search result grade corresponding to the to-be-processed search information, wherein the term query relation table is constructed in the following mode: performing entry division on the expanded search keyword information contained in the expanded search keyword information set in the target query relation table to obtain a reference entry set; weighting a first search result grade corresponding to the reference entry for the same reference entry in the reference entry set to obtain a second search result grade of the reference entry; constructing a term query relation table according to the reference terms and second search result levels corresponding to the reference terms, wherein the second search result levels are used for representing the proportion of the reference terms to the search result information corresponding to the video information type;

and setting a second display sequence number for the video search result corresponding to the to-be-processed search information based on the second search result grade and the set grade, and displaying the search result, wherein the second display sequence number is used for displaying the video search result in the search result before the non-video search result.

2. The method of claim 1, wherein the setting a second display sequence number for the video search result corresponding to the to-be-processed search information based on the second search result level and the set level, and displaying the search result comprises:

and in response to the fact that the second search result level is higher than the set level, setting a second display sequence number for the video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the second display sequence number is used for displaying the video search result in the search result before the non-video search result.

3. The method of claim 1, wherein the target lookup relationship table is constructed by:

dividing historical search information according to the type of the video information to obtain an information query relation table, wherein the historical search information comprises historical search keyword information and historical search result information corresponding to the historical search keyword information, and the information query relation table comprises search keyword information and search result information corresponding to the search keyword information;

and calculating the grade of the search result according to the quantity of the search keyword information and the quantity of the search result information in the information query relation table, and establishing a target query relation table according to the grade of the search result, wherein the grade of the search result is used for representing the proportion of the search result information of the video information type.

4. The method of claim 3, wherein the dividing the historical search information by video information type to obtain the information query relation table comprises:

acquiring at least two historical search information sets, wherein the search modes corresponding to the historical search information sets in the at least two historical search information sets are different from each other;

and for the historical search information sets contained in the at least two historical search information sets, dividing the historical search result information contained in the historical search information sets according to the video information types to obtain an information query relation table corresponding to the video information types.

5. The method of claim 3, wherein the calculating a search result level according to the number of the search keyword information and the number of the search result information in the information query relation table and establishing the target query relation table according to the search result level comprises:

calculating an initial search result grade of each piece of search keyword information and corresponding to the video information type according to the quantity of the search keyword information and the quantity of the search result information in the information query relation table, and constructing the initial query relation table according to the search keyword information and the initial search result grade, wherein the initial search result grade is used for representing the proportion of the search keyword information and the search result information corresponding to the video information type;

and obtaining the characteristic entries corresponding to the search keyword information in the initial query relation table, and constructing a target query relation table according to the characteristic entries.

6. The method of claim 5, wherein the obtaining of the feature entries corresponding to the search keyword information in the initial query relationship table and the constructing of the target query relationship table according to the feature entries comprise:

performing semantic analysis on the search keyword information in the initial query relation table to obtain a characteristic entry;

inquiring at least one piece of search keyword information corresponding to the characteristic entry, and calculating a first search result grade of the characteristic entry according to the quantity of the at least one piece of search keyword information and the quantity of search result information corresponding to the at least one piece of search keyword information, wherein the first search result grade is used for representing the proportion of the search result information corresponding to the search keyword information of the characteristic entry and corresponding to the video information type;

carrying out word sense expansion on the characteristic entries to obtain an expanded search keyword information set;

and constructing a target query relation table according to the expanded search keyword information set and the first search result level.

7. An apparatus for displaying information, comprising:

the first search result grade determining unit is configured to match the received to-be-processed search information with a target query relation table, and determine a first search result grade corresponding to the to-be-processed search information, wherein the target query relation table is used for representing a corresponding relation between the to-be-processed search information and the first search result grade, and the first search result grade is used for representing the probability that a search result corresponding to the to-be-processed search information is a video;

the first information display unit is used for responding to the first search result level higher than a set level, setting a first display sequence number for a video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the first display sequence number is used for displaying the video search result in the search result before a non-video search result;

a second search result level determination unit, configured to, in response to a failure to determine a first search result level corresponding to the to-be-processed search information, match the to-be-processed search information with a term query relationship table, and determine a second search result level corresponding to the to-be-processed search information;

the second information display unit is used for setting a second display sequence number for the video search result corresponding to the search information to be processed based on the second search result grade and the set grade, and displaying the search result, wherein the second display sequence number is used for displaying the video search result in the search result before the non-video search result;

the vocabulary entry query relation table construction unit comprises: a reference entry set obtaining subunit configured to perform entry division on the extended search keyword information included in the extended search keyword information set in the target query relationship table to obtain a reference entry set; a second search result level obtaining subunit, configured to, for a same reference entry in the reference entry set, weight the first search result level corresponding to the reference entry to obtain a second search result level of the reference entry; and the vocabulary entry query relation table construction subunit is configured to construct a vocabulary entry query relation table according to the reference vocabulary entry and a second search result level corresponding to the reference vocabulary entry, wherein the second search result level is used for representing the proportion of the reference vocabulary entry to the search result information corresponding to the video information type.

8. The apparatus of claim 7, wherein the second information display unit is further configured to:

and in response to the second search result level being higher than the set level, setting a second display sequence number for the video search result corresponding to the to-be-processed search information, and displaying the search result, wherein the second display sequence number is used for displaying the video search result in the search result before the non-video search result.

9. The apparatus of claim 7, wherein the apparatus further comprises a target query relationship table building unit configured to build a target query relationship table, the target query relationship table building unit comprising:

the information query relation table obtaining subunit is configured to divide historical search information according to the video information types to obtain an information query relation table, wherein the historical search information comprises historical search keyword information and historical search result information corresponding to the historical search keyword information, and the information query relation table comprises search keyword information and search result information corresponding to the search keyword information;

and the target query relation table acquisition subunit is configured to calculate a search result grade according to the number of the search keyword information and the number of the search result information in the information query relation table, and establish the target query relation table according to the search result grade, wherein the search result grade is used for representing the proportion of the search result information of the video information type.

10. The apparatus of claim 9, wherein the information lookup relationship table obtaining subunit comprises:

the historical search information set acquisition module is configured to acquire at least two historical search information sets, wherein the search modes corresponding to the historical search information sets in the at least two historical search information sets are different from each other;

and the information query relation table acquisition module is used for dividing the historical search result information contained in the historical search information sets according to the video information types to obtain the information query relation table corresponding to the video information types for the historical search information sets contained in the at least two historical search information sets.

11. The apparatus of claim 9, wherein the target lookup table retrieval subunit comprises:

the initial query relation table building module is configured to calculate an initial search result grade corresponding to the video information type of each piece of search keyword information according to the number of the search keyword information and the number of the search result information in the information query relation table, and build an initial query relation table according to the search keyword information and the initial search result grade, wherein the initial search result grade is used for representing the proportion of the search result information corresponding to the video information type of the search keyword information;

and the target query relation table building module is configured to acquire the characteristic entries corresponding to the search keyword information in the initial query relation table and build a target query relation table according to the characteristic entries.

12. The apparatus of claim 11, wherein the target lookup table building module comprises:

the characteristic entry acquisition sub-module is configured to perform semantic analysis on the search keyword information in the initial query relation table to obtain a characteristic entry;

a first search result level calculation sub-module configured to query at least one piece of search keyword information corresponding to the feature entry, and calculate a first search result level of the feature entry according to the number of the at least one piece of search keyword information and the number of search result information corresponding to the at least one piece of search keyword information, wherein the first search result level is used for representing the proportion of the search result information corresponding to the video information type of the search keyword information corresponding to the feature entry;

the word sense expansion submodule is configured to carry out word sense expansion on the characteristic entries to obtain an expanded search keyword information set;

and the target query relation table construction sub-module is configured to construct a target query relation table according to the expanded search keyword information set and the first search result level.

13. A server, comprising:

one or more processors;

a memory having one or more programs stored thereon,

the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-6.

14. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.