CN108334626A - Generation method, device and the computer equipment of news program - Google Patents

Generation method, device and the computer equipment of news program Download PDF

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Publication number
CN108334626A
CN108334626A CN201810145847.7A CN201810145847A CN108334626A CN 108334626 A CN108334626 A CN 108334626A CN 201810145847 A CN201810145847 A CN 201810145847A CN 108334626 A CN108334626 A CN 108334626A
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article
weighted
keywords matching
strategy
acquisition
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CN108334626B (en
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孙志杰
李跃洲
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/34Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/3331Query processing
    • G06F16/3332Query translation
    • G06F16/3334Selection or weighting of terms from queries, including natural language queries

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The application proposes that a kind of generation method of news program, device and computer equipment, the generation method of above-mentioned news program include:Keyword input by user is obtained, the article with the Keywords matching is obtained according to the keyword;Obtain the screening strategy that the user selects from policy library;It is screened and is sorted according to the article of the screening strategy pair and the Keywords matching;The contents list of news program is generated according to ranking results.The application can significantly reduce the time created needed for a new news program, and then can realize that fast verification is reached the standard grade when some focus incidents needs promptly establishment hot services occur.

Description

Generation method, device and the computer equipment of news program
Technical field
This application involves a kind of Internet technical field more particularly to generation method of news program, device and computers Equipment.
Background technology
News, which recommends a feature in field, to be needed according to the continual extension news program of current hotspot, each It polymerize the Domestic News of the related field under a news program.When needing to extend a news program, it is responsible for first by correlation Human hand is dynamic to filter out a part and the matched keyword of column, these keywords are the basis of follow-up screening article, but not All articles screened by keyword all can be put into this column in the following, at this time just needing by generating strategy from this The more interested article of user is filtered out in a little articles, for example marking sequence is carried out to article.Strategy is generally according to artificial warp Test formulation, it is existing in the related technology, relevant person in charge for a newly-increased column formulated some strategy, then transfer to out Hair personnel go to realize that these strategies, strategy transfer to channel responsible person to observe final effect again after reaching the standard grade.If effect is undesirable It is gone to select keyword, screening strategy again by responsible person again.It moves in circles, personnel link up cost, strategy Development time cost Very high, the flow that such a column is reached the standard grade will be elongated significantly, and one may be needed by integrating one new channel of completion A month time cycle, but news has the high-timeliness of itself, and the scene of temporary channel is established for some focus incidents, it is existing The creation method period of some news programs is too long to cannot be satisfied demand.
Invention content
The application is intended to solve at least some of the technical problems in related technologies.
For this purpose, first purpose of the application is to propose a kind of generation method of news program, created with significantly reducing Time needed for one new news program, so can occur some focus incidents need it is urgent create hot services when, Realize that fast verification is reached the standard grade.
Second purpose of the application is to propose a kind of generating means of news program.
The third purpose of the application is to propose a kind of computer equipment.
The 4th purpose of the application is to propose a kind of non-transitorycomputer readable storage medium.
In order to achieve the above object, the application first aspect embodiment proposes a kind of generation method of news program, including:It obtains Keyword input by user is obtained, the article with the Keywords matching is obtained according to the keyword;The user is obtained from plan The screening strategy slightly selected in library;It is screened and is sorted according to the article of the screening strategy pair and the Keywords matching; The contents list of news program is generated according to ranking results.
In the generation method of the news program of the embodiment of the present application, after obtaining keyword input by user, according to above-mentioned Keyword obtains the article with above-mentioned Keywords matching, obtains the screening strategy that above-mentioned user selects from policy library, then root It is screened and is sorted according to the article of above-mentioned screening strategy pair and above-mentioned Keywords matching, finally generate news according to ranking results The contents list of column, so as to realize the strategy that only need to be provided keyword and select needs, so that it may to immediately see screening The contents list of good news program can directly adjust keyword and strategy if effect is undesirable, and the effect after adjustment is vertical I.e. as it can be seen that the time created needed for a new news program can be significantly reduced, and then some focus incidents can occur When needing promptly to create hot services, realize that fast verification is reached the standard grade.
In order to achieve the above object, the application second aspect embodiment proposes a kind of generating means of news program, including:It obtains Module is obtained, for obtaining keyword input by user, the article with the Keywords matching is obtained according to the keyword;And Obtain the screening strategy that the user selects from policy library;Screening module, for according to the screening strategy pair and the pass The matched article of keyword is screened and is sorted;Generation module, the contents list for generating news program according to ranking results.
In the generating means of the news program of the embodiment of the present application, after obtaining module acquisition keyword input by user, The article with above-mentioned Keywords matching is obtained according to above-mentioned keyword, obtains the screening plan that above-mentioned user selects from policy library Slightly, then screening module is screened and is sorted according to the article of above-mentioned screening strategy pair and above-mentioned Keywords matching, is finally given birth to The contents list for generating news program according to ranking results at module only need to provide keyword and select to need so as to realize Strategy, so that it may to immediately see the contents list of the news program screened, if effect is undesirable, can directly adjust pass Keyword and strategy, the effect after adjustment is immediately visible, can significantly reduce the time created needed for a new news program, into And it can realize that fast verification is reached the standard grade when some focus incidents needs promptly establishment hot services occur.
In order to achieve the above object, the application third aspect embodiment proposes a kind of computer equipment, including memory, processor And it is stored in the computer program that can be run on the memory and on the processor, the processor executes the calculating When machine program, method as described above is realized.
To achieve the goals above, the application fourth aspect embodiment proposes a kind of computer-readable storage of non-transitory Medium, is stored thereon with computer program, and the computer program realizes method as described above when being executed by processor.
The additional aspect of the application and advantage will be set forth in part in the description, and will partly become from the following description It obtains obviously, or recognized by the practice of the application.
Description of the drawings
The application is above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments Obviously and it is readily appreciated that, wherein:
Fig. 1 is the flow chart of generation method one embodiment of the application news program;
Fig. 2 is the flow chart of another embodiment of the generation method of the application news program;
Fig. 3 is the flow chart of the generation method further embodiment of the application news program;
Fig. 4 be the application news program generation method in policy library schematic diagram;
Fig. 5 is the structural schematic diagram of generating means one embodiment of the application news program;
Fig. 6 is the structural schematic diagram of the application computer equipment one embodiment.
Specific implementation mode
Embodiments herein is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, it is intended to for explaining the application, and should not be understood as the limitation to the application.
Fig. 1 is the flow chart of generation method one embodiment of the application news program, as shown in Figure 1, above-mentioned news column Purpose generation method may include:
Step 101, keyword input by user is obtained, the text with above-mentioned Keywords matching is obtained according to above-mentioned keyword Chapter.
Step 102, the screening strategy that above-mentioned user selects from policy library is obtained.
Step 103, it is screened and is sorted according to the article of above-mentioned screening strategy pair and above-mentioned Keywords matching.
Step 104, the contents list of news program is generated according to ranking results.
In the present embodiment, above-mentioned user is channel responsible person, that is, is responsible for creating the people of news program, existing the relevant technologies In, main problem is the strategy of channel responsible person Manual definition, needs that special developer is transferred to develop, such flow Time and effort consuming.In the present embodiment, the strategy that may be used to article screening is aggregated, and a policy library is generated, Support the automatic parsing to various strategies, this spline channel responsible person only needs to input keyword, and selects to need from policy library Screening strategy, so that it may to immediately see the contents list of the news program screened, if effect is undesirable, can directly adjust Whole keyword and screening strategy, the effect after adjustment are immediately visible.
In the generation method of above-mentioned news program, after obtaining keyword input by user, obtained according to above-mentioned keyword With the article of above-mentioned Keywords matching, the screening strategy that above-mentioned user selects from policy library is obtained, then according to above-mentioned screening The article of strategy pair and above-mentioned Keywords matching is screened and is sorted, and the content of news program is finally generated according to ranking results List, so as to realize only need to provide keyword and select need screening strategy, so that it may with immediately see screened it is new Keyword and screening strategy can directly be adjusted if effect is undesirable by hearing the contents list of column, and the effect after adjustment is immediately As it can be seen that the time created needed for a new news program can be significantly reduced, and then can be needed some focus incidents occur When promptly creating hot services, realize that fast verification is reached the standard grade.
Fig. 2 is the flow chart of the generation method of the application news program another embodiment, in the present embodiment, the application figure Screening strategy in 1 illustrated embodiment includes weighted strategy, as shown in Fig. 2, in the application embodiment illustrated in fig. 1, step 103 can To include:
Step 201, the basic score pair with the article for meeting above-mentioned weighted strategy in the article of above-mentioned Keywords matching, into Row weighted calculation obtains the weighted score for the article for meeting above-mentioned weighted strategy.
Step 202, the article for meeting above-mentioned weighted strategy is ranked up according to above-mentioned weighted score.
Specifically, article can obtain a corresponding basic score by an audit marking mechanism on the data streams, this It in embodiment, is weighted to meeting the basic score of article of weighted strategy, obtains the text for meeting above-mentioned weighted strategy The weighted score of chapter.
Then, the article for meeting above-mentioned weighted strategy is ranked up further according to above-mentioned weighted score.
In a kind of realization method of the present embodiment, above-mentioned weighted strategy includes content quality;In this way, step 201 can be: With the article of above-mentioned Keywords matching, acquisition content quality is greater than or equal to the article of predetermined threshold;Calculate the text obtained The product of the basic score weight corresponding with content quality dimension of chapter, the weighted score of the article as above-mentioned acquisition.
Wherein, above-mentioned predetermined threshold can in specific implementation according to the sets itselfs such as system performance and/or realization demand, The present embodiment is not construed as limiting the size of above-mentioned predetermined threshold.In the present embodiment, article can pass through an audit on the data streams Marking mechanism obtains a corresponding content quality score, and it can be article that content quality, which is greater than or equal to predetermined threshold, here Content quality score is greater than or equal to predetermined threshold.
The corresponding weight of meeting setting content quality dimensions in weighted strategy, is greater than or equal to predetermined threshold for content quality Article, calculate the product of the basic score weight corresponding with content quality dimension of article, the weighting point as above-mentioned article Number.
In another realization method of the present embodiment, above-mentioned weighted strategy may include keyword;At this moment, step 201 can Think:With the article of above-mentioned Keywords matching, acquisition includes the article of designated key word;Calculate the basis of the article obtained The product of score weight corresponding with keyword dimension, the weighted score of the article as above-mentioned acquisition.
Specifically, user can specify at least one keyword in the keyword of input, and set in weighted strategy and close The corresponding weight of keyword dimension calculates the basic score and keyword of article in this way, if article includes designated key word The product of the corresponding weight of dimension, the weighted score as above-mentioned article.
In another realization method of the present embodiment, above-mentioned weighted strategy includes timeliness;At this moment, step 201 can be: With the article of above-mentioned Keywords matching, article of the issuing time within the scope of the timeliness of setting is obtained;Calculate the article obtained Basic score weight corresponding with timeliness dimension product, the weighted score of the article as above-mentioned acquisition.
Because what is created is news program, news is wanted to the more demanding of timeliness, therefore for the issuing time of article Seek timeliness.It can set in weighted strategy, the corresponding weight of timeliness dimension, obtain issuing time within the scope of the timeliness of setting Article, the product of the basic score weight corresponding with timeliness dimension of the article of acquisition is then calculated, as above-mentioned acquisition The weighted score of article.
In another realization method of the present embodiment, above-mentioned weighted strategy includes region;At this moment step 201 can be: With the text that in the article of above-mentioned Keywords matching, the scene of event and the location of viewer match described by acquisition Chapter;The product of the basic score weight corresponding with region dimension of the article obtained is calculated, article as above-mentioned acquisition adds Weigh score.
Specifically, the scene of event described in article is matched with the location of viewer to be:Institute in article The scene of description event is identical as the location of viewer or article described in event scene and viewer Location it is different, but distance is in the distance range of setting.Wherein, above-mentioned viewer refers to the user for browsing news program, The terminal that can be used by viewer determines the location of above-mentioned viewer.
It sets in weighted strategy, the corresponding weight of region dimension, then for the scene and browsing of described event The article that the location of person matches calculates the product of the basic score weight corresponding with region dimension of article, as above-mentioned The weighted score of article.
In another realization method of the present embodiment, above-mentioned weighted strategy includes picture;At this moment, step 201 can be: With the article of above-mentioned Keywords matching, acquisition includes the article of picture;The basic score and picture for calculating the article obtained are tieed up The product for spending corresponding weight, the weighted score of the article as above-mentioned acquisition.
Specifically, the corresponding weight of picture dimension in weighted strategy can be set, for the article including picture, calculates text The product of the basic score weight corresponding with picture dimension of chapter, the weighted score as above-mentioned article.
It should be noted that above-mentioned weighted strategy may be used alone, can also be used in combination.When used in combination, it needs The product for calculating the corresponding weight of each weighted strategy being applied in combination, multiplied by meet the article for the weighted strategy being applied in combination Basic score, as weighted score.For example, above-mentioned weighted strategy may include content quality, designated key word and figure Piece, then can be with the article of above-mentioned Keywords matching, and acquisition content quality is greater than or equal to predetermined threshold, including specified pass Keyword, and the article including picture;Calculate the corresponding weight of content dimension, the corresponding weight of keyword dimension and picture dimension The product of corresponding weight, multiplied by with the basic score of the article of acquisition, the weighted score of the article as above-mentioned acquisition.
Above-described embodiment may be implemented to be weighted sequence to the article for meeting weighted strategy according to the weighted strategy of selection, The possibility that the article for meeting weighted strategy has bigger is set to appear in the news program finally created.
Fig. 3 is the flow chart of the generation method further embodiment of the application news program, in the present embodiment, the application figure Screening strategy in 1 illustrated embodiment includes filtering policy, as shown in figure 3, in the application embodiment illustrated in fig. 1, step 103 can To include:
Step 301, the article for meeting above-mentioned filtering policy is deleted from the article of above-mentioned Keywords matching.
In a kind of realization method of the present embodiment, above-mentioned filtering policy includes content quality;At this moment, step 301 can be: With the article of above-mentioned Keywords matching, acquisition content quality is less than the article of predetermined threshold;From with above-mentioned Keywords matching Article in the article of acquisition is deleted.
In the present embodiment, article can pass through an audit marking mechanism and obtain a corresponding content quality on the data streams Scoring, content quality, which is less than predetermined threshold, here to be less than predetermined threshold for the content quality score of article.
When filtering policy includes content quality, the article of predetermined threshold is less than for content quality, then is deleted.
In another realization method of the present embodiment, above-mentioned filtering policy includes timeliness;At this moment step 301 can be: With the article of above-mentioned Keywords matching, the issuing time not article within the scope of the timeliness of setting is obtained;From with above-mentioned key The article of acquisition is deleted in the matched article of word.
Because what is created is news program, news is wanted to the more demanding of timeliness, therefore for the issuing time of article Seek timeliness.When filtering policy includes timeliness, for the issuing time not article within the scope of the timeliness of setting, then deleted It removes.
In another realization method of the present embodiment, above-mentioned filtering policy includes region;At this moment, step 301 can be: With the unmatched text in location of the scene and viewer that in the article of above-mentioned Keywords matching, obtain described event Chapter;The article of acquisition is deleted from the article of above-mentioned Keywords matching.
Specifically, the location of the scene of described event and viewer, which mismatch, to be:Described in article The scene of event is different from the location of viewer, and distance is not in the distance range of setting.When filtering policy packet When including region, the unmatched article in location of scene and viewer for described event is then deleted.
In another realization method of the present embodiment, above-mentioned filtering policy includes user preferences;At this moment, step 301 can be with For:With the article of above-mentioned Keywords matching, the unmatched article of hobby of point of interest and viewer is obtained;From with above-mentioned pass The article of acquisition is deleted in the matched article of keyword.
Specifically, point of interest and the hobby mismatch of browsing user can be:The use of the point of interest of article and browsing user Point of interest in the model of family mismatches.When filtering policy includes user preferences, for point of interest and the hobby of user is browsed not Matched article, then deleted.
In another realization method of the present embodiment, above-mentioned filtering policy includes picture;At this moment, step 301 can be: With the article of above-mentioned Keywords matching, the article for not including picture is obtained;It will be obtained from the article of above-mentioned Keywords matching The article taken is deleted.
When above-mentioned filtering policy includes picture, for not including the article of picture, deleted.
Equally, above-mentioned filtering policy can be applied in combination with single use.For example, above-mentioned filtering policy can be with Including content quality, timeliness and picture, then it can obtain content quality respectively from the article of above-mentioned Keywords matching and be less than The article of predetermined threshold, issuing time the article within the scope of the timeliness of setting and do not include the article of picture, then will The article of acquisition is deleted, and is screened from different dimensions to article to realize.
Above-described embodiment may be implemented to be screened according to the filtering policy pair and the article of above-mentioned Keywords matching of selection, The article for meeting filtering policy is deleted away.
In the embodiment of the present application, policy library main composition may refer to Fig. 4, and Fig. 4 is the generation side of the application news program The schematic diagram of policy library in method, policy library include mainly two-part content, weighted strategy and filtering policy.Wherein, " weighting plan Slightly " according to content quality, keyword, timeliness, region and/or whether there is or not pictures to judge article, to meeting weighted strategy Article improves priority, and the high article of priority has the possibility of bigger to appear in the news program finally created." filtering Strategy " then according to content quality, timeliness, region, user preferences and/or whether there is or not the conditions such as picture will it is expected exclude article rejecting It goes out.
It, then can be for the article of above-mentioned Keywords matching, not meeting the article of weighted strategy and filtering policy After article to meeting above-mentioned weighted strategy sorts, after meeting the article sequence of above-mentioned weighted strategy, according to basis point It is several that the article for not meeting weighted strategy and filtering policy is ranked up.
Fig. 5 is the structural schematic diagram of generating means one embodiment of the application news program, in the embodiment of the present application The generating means of news program can be used as news program to generate engine, realize the life of news program provided by the embodiments of the present application At method.As shown in figure 5, the generating means of above-mentioned news program may include:It obtains module 51, screening module 52 and generates mould Block 53;
Wherein, module 51 is obtained, for obtaining keyword input by user, is obtained and above-mentioned key according to above-mentioned keyword The matched article of word;And obtain the screening strategy that above-mentioned user selects from policy library;
Screening module 52, for being screened side by side according to the article of above-mentioned screening strategy pair and above-mentioned Keywords matching Sequence;
Generation module 53, the contents list for generating news program according to ranking results.
In the present embodiment, above-mentioned user is channel responsible person, that is, is responsible for creating the people of news program, existing the relevant technologies In, main problem is the strategy of channel responsible person Manual definition, needs that special developer is transferred to develop, such flow Time and effort consuming.In the present embodiment, the strategy that may be used to article screening is aggregated, and a policy library is generated, Support the automatic parsing to various strategies, this spline channel responsible person only needs to input keyword, and selects to need from policy library Screening strategy, so that it may to immediately see the contents list of the news program screened, if effect is undesirable, can directly adjust Whole keyword and screening strategy, the effect after adjustment are immediately visible.
In the present embodiment, screening module 52, specifically for when above-mentioned screening strategy includes weighted strategy, pair with above-mentioned pass The basic score for meeting the article of above-mentioned weighted strategy in the matched article of keyword, is weighted, and acquisition meets above-mentioned add The weighted score for weighing the article of strategy, is ranked up the article for meeting above-mentioned weighted strategy according to above-mentioned weighted score.
Specifically, article can obtain a corresponding basic score by an audit marking mechanism on the data streams, this In embodiment, the basic score for meeting the article of weighted strategy is weighted in screening module 52, and acquisition meets above-mentioned add Then the weighted score for weighing the article of strategy is arranged the article for meeting above-mentioned weighted strategy further according to above-mentioned weighted score Sequence.
In a kind of realization method of the present embodiment, screening module 52 includes content matter specifically for working as above-mentioned weighted strategy When amount, with the article of above-mentioned Keywords matching, acquisition content quality is greater than or equal to the article of predetermined threshold, calculates and obtains Article basic score weight corresponding with content quality dimension product, the weighted score of the article as above-mentioned acquisition.
Wherein, above-mentioned predetermined threshold can in specific implementation according to the sets itselfs such as system performance and/or realization demand, The present embodiment is not construed as limiting the size of above-mentioned predetermined threshold.In the present embodiment, article can pass through an audit on the data streams Marking mechanism obtains a corresponding content quality score, and it can be article that content quality, which is greater than or equal to predetermined threshold, here Content quality score is greater than or equal to predetermined threshold.
The corresponding weight of meeting setting content quality dimensions in weighted strategy, is greater than or equal to predetermined threshold for content quality Article, screening module 52 calculate article basic score weight corresponding with content quality dimension product, as above-mentioned text The weighted score of chapter.
In another realization method of the present embodiment, screening module 52 is specifically used for when above-mentioned weighted strategy including key When word, with the article of above-mentioned Keywords matching, acquisition includes the article of designated key word;Calculate the basis of the article obtained The product of score weight corresponding with keyword dimension, the weighted score of the article as above-mentioned acquisition.
Specifically, user can specify at least one keyword in the keyword of input, and set in weighted strategy and close The corresponding weight of keyword dimension, in this way, if article includes designated key word, screening module 52 calculates the basis point of article The product of number weight corresponding with keyword dimension, the weighted score as above-mentioned article.
In another realization method of the present embodiment, screening module 52 includes timeliness specifically for working as above-mentioned weighted strategy When, with the article of above-mentioned Keywords matching, obtain article of the issuing time within the scope of the timeliness of setting;Calculate acquisition The product of the basic score weight corresponding with timeliness dimension of article, the weighted score of the article as above-mentioned acquisition.
Because what is created is news program, news is wanted to the more demanding of timeliness, therefore for the issuing time of article Seek timeliness.It can set in weighted strategy, the corresponding weight of timeliness dimension, obtain issuing time within the scope of the timeliness of setting Article, then screening module 52 calculate obtain article basic score weight corresponding with timeliness dimension product, as The weighted score of the article of above-mentioned acquisition.
In another realization method of the present embodiment, screening module 52 includes region specifically for working as above-mentioned weighted strategy When, with the article of above-mentioned Keywords matching, the described scene of event of acquisition and the location of viewer match Article;Calculate the product of the basic score weight corresponding with region dimension of the article obtained, the article as above-mentioned acquisition Weighted score.
Specifically, the scene of event described in article is matched with the location of viewer to be:Institute in article The scene of description event is identical as the location of viewer or article described in event scene and viewer Location it is different, but distance is in the distance range of setting.Wherein, above-mentioned viewer refers to the user for browsing news program, The terminal that can be used by viewer determines the location of above-mentioned viewer.
It sets in weighted strategy, the corresponding weight of region dimension, then for the scene and browsing of described event The article that the location of person matches, screening module 52 calculate multiplying for the basic score weight corresponding with region dimension of article Product, the weighted score as above-mentioned article.
In another realization method of the present embodiment, screening module 52 includes picture specifically for working as above-mentioned weighted strategy When, with the article of above-mentioned Keywords matching, acquisition includes the article of picture;Calculate the basic score and figure of the article obtained The product of the corresponding weight of piece dimension, the weighted score of the article as above-mentioned acquisition.
Specifically, the corresponding weight of picture dimension in weighted strategy can be set, for the article including picture, screens mould Block 52 calculates the product of the basic score weight corresponding with picture dimension of article, the weighted score as above-mentioned article.
It should be noted that above-mentioned weighted strategy may be used alone, can also be used in combination.When used in combination, it needs The product for calculating the corresponding weight of each weighted strategy being applied in combination, multiplied by meet the article for the weighted strategy being applied in combination Basic score, as weighted score.For example, above-mentioned weighted strategy may include content quality, designated key word and figure Piece, then can be with the article of above-mentioned Keywords matching, and acquisition content quality is greater than or equal to predetermined threshold, including specified pass Keyword, and the article including picture;Screening module 52 calculates the corresponding weight of content dimension, the corresponding weight of keyword dimension The product of weight corresponding with picture dimension, multiplied by with the basic score of the article of acquisition, article as above-mentioned acquisition plus Weigh score.
Above-mentioned screening module 52 may be implemented to be weighted the article for meeting weighted strategy according to the weighted strategy of selection Sequence, makes the possibility that the article for meeting weighted strategy has bigger appear in the news program finally created.
On the other hand, screening module 52, specifically for when above-mentioned screening strategy includes filtering policy, from above-mentioned key The article for meeting above-mentioned filtering policy is deleted in the matched article of word.
In a kind of realization method of the present embodiment, screening module 52 includes content matter specifically for working as above-mentioned filtering policy When amount, with the article of above-mentioned Keywords matching, acquisition content quality is less than the article of predetermined threshold;From with above-mentioned keyword The article of acquisition is deleted in matched article.
In the present embodiment, article can pass through an audit marking mechanism and obtain a corresponding content quality on the data streams Scoring, content quality, which is less than predetermined threshold, here to be less than predetermined threshold for the content quality score of article.
When filtering policy includes content quality, the article of predetermined threshold is less than for content quality, then screening module 52 It is deleted.
In another realization method of the present embodiment, screening module 52 includes timeliness specifically for working as above-mentioned filtering policy When, with the article of above-mentioned Keywords matching, obtain the issuing time not article within the scope of the timeliness of setting;From with it is above-mentioned The article of acquisition is deleted in the article of Keywords matching.
Because what is created is news program, news is wanted to the more demanding of timeliness, therefore for the issuing time of article Seek timeliness.When filtering policy includes timeliness, for the issuing time not article within the scope of the timeliness of setting, then mould is screened Block 52 is deleted.
In another realization method of the present embodiment, screening module 52 includes region specifically for working as above-mentioned filtering policy When, in the location mismatch with the scene and viewer that in the article of above-mentioned Keywords matching, obtain described event Article;The article of acquisition is deleted from the article of above-mentioned Keywords matching.
Specifically, the location of the scene of described event and viewer, which mismatch, to be:Described in article The scene of event is different from the location of viewer, and distance is not in the distance range of setting.When filtering policy packet When including region, the unmatched article in location of scene and viewer for described event, then screening module 52 give To delete.
In another realization method of the present embodiment, screening module 52 includes user specifically for working as above-mentioned filtering policy When hobby, with the article of above-mentioned Keywords matching, the unmatched article of hobby of point of interest and viewer is obtained;From with it is upper The article in the article of Keywords matching by acquisition is stated to delete.
Specifically, point of interest and the hobby mismatch of browsing user can be:The use of the point of interest of article and browsing user Point of interest in the model of family mismatches.When filtering policy includes user preferences, for point of interest and the hobby of user is browsed not Matched article, then screening module 52 deleted.
In another realization method of the present embodiment, screening module 52 includes picture specifically for working as above-mentioned filtering policy When, with the article of above-mentioned Keywords matching, obtain the article for not including picture;From with the article of above-mentioned Keywords matching The article of acquisition is deleted.
When above-mentioned filtering policy includes picture, for not including the article of picture, screening module 52 is deleted.
Equally, above-mentioned filtering policy can be applied in combination with single use.For example, above-mentioned filtering policy can be with Including content quality, timeliness and picture, then it can obtain content quality respectively from the article of above-mentioned Keywords matching and be less than The article of predetermined threshold, issuing time the article within the scope of the timeliness of setting and do not include the article of picture, then sieve Modeling block 52 deletes the article of acquisition, is screened from different dimensions to article to realize.
Above-mentioned screening module 52 may be implemented to be carried out according to the filtering policy pair of selection and the article of above-mentioned Keywords matching Screening, the article for meeting filtering policy is deleted away.
In the embodiment of the present application, policy library main composition may refer to Fig. 4, and policy library includes mainly two-part content, Weighted strategy and filtering policy.Wherein, " weighted strategy " is according to content quality, keyword, timeliness, region and/or whether there is or not pictures Article is judged, the article to meeting weighted strategy improves priority, and the high article of priority has the possibility of bigger to go out In the news program finally created now." filtering policy " then according to content quality, timeliness, region, user preferences and/or has The conditions such as no picture will it is expected that the article excluded eliminates.
For with the article of above-mentioned Keywords matching, not meeting the article of weighted strategy and filtering policy, then screening mould Block 52 can to meet above-mentioned weighted strategy article sort after, after meeting the article sequence of above-mentioned weighted strategy, The article for not meeting weighted strategy and filtering policy is ranked up according to basic score.
In the generating means of above-mentioned news program, after acquisition module 51 obtains keyword input by user, according to above-mentioned Keyword obtains the article with above-mentioned Keywords matching, obtains the screening strategy that above-mentioned user selects from policy library, then sieves Modeling block 52 is screened and is sorted according to the article of above-mentioned screening strategy pair and above-mentioned Keywords matching, and module 53 is ultimately produced The contents list that news program is generated according to ranking results, so as to realize the screening that only need to be provided keyword and select needs Strategy, so that it may to immediately see the contents list of the news program screened, if effect is undesirable, can directly adjust key Word and screening strategy, the effect after adjustment is immediately visible, can significantly reduce the time created needed for a new news program, And then it can realize that fast verification is reached the standard grade when some focus incidents needs promptly establishment hot services occur.
Fig. 6 is the structural schematic diagram of the application computer equipment one embodiment, and above computer equipment may include depositing Reservoir, processor and it is stored in the computer program that can be run on above-mentioned memory and on above-mentioned processor, above-mentioned processor When executing above computer program, the generation method of news program provided by the embodiments of the present application may be implemented.
Wherein, above computer equipment can be server, such as:The server of engine is generated including news program, this Embodiment is not construed as limiting the specific form of above computer equipment.
Fig. 6 shows the block diagram of the exemplary computer device 12 suitable for being used for realizing the application embodiment.Fig. 6 is shown Computer equipment 12 be only an example, any restrictions should not be brought to the function and use scope of the embodiment of the present application.
As shown in fig. 6, computer equipment 12 is showed in the form of universal computing device.The component of computer equipment 12 can be with Including but not limited to:One or more processor or processing unit 16, system storage 28 connect different system component The bus 18 of (including system storage 28 and processing unit 16).
Bus 18 indicates one or more in a few class bus structures, including memory bus or Memory Controller, Peripheral bus, graphics acceleration port, processor or the local bus using the arbitrary bus structures in a variety of bus structures.It lifts For example, these architectures include but not limited to industry standard architecture (Industry Standard Architecture;Hereinafter referred to as:ISA) bus, microchannel architecture (Micro Channel Architecture;Below Referred to as:MAC) bus, enhanced isa bus, Video Electronics Standards Association (Video Electronics Standards Association;Hereinafter referred to as:VESA) local bus and peripheral component interconnection (Peripheral Component Interconnection;Hereinafter referred to as:PCI) bus.
Computer equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by The usable medium that computer equipment 12 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access Memory (Random Access Memory;Hereinafter referred to as:RAM) 30 and/or cache memory 32.Computer equipment 12 It may further include other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only conduct Citing, storage system 34 can be used for reading and writing immovable, non-volatile magnetic media, and (Fig. 6 do not show, commonly referred to as " hard disk Driver ").Although being not shown in Fig. 6, can provide for the magnetic to moving non-volatile magnetic disk (such as " floppy disk ") read-write Disk drive, and to removable anonvolatile optical disk (such as:Compact disc read-only memory (Compact Disc Read Only Memory;Hereinafter referred to as:CD-ROM), digital multi CD-ROM (Digital Video Disc Read Only Memory;Hereinafter referred to as:DVD-ROM) or other optical mediums) read-write CD drive.In these cases, each driving Device can be connected by one or more data media interfaces with bus 18.Memory 28 may include at least one program production Product, the program product have one group of (for example, at least one) program module, and it is each that these program modules are configured to perform the application The function of embodiment.
Program/utility 40 with one group of (at least one) program module 42 can be stored in such as memory 28 In, such program module 42 includes --- but being not limited to --- operating system, one or more application program, other programs Module and program data may include the realization of network environment in each or certain combination in these examples.Program mould Block 42 usually executes function and/or method in embodiments described herein.
Computer equipment 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 12 communicate, and/or with make The computer equipment 12 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other computing device Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 22.Also, computer equipment 12 may be used also To pass through network adapter 20 and one or more network (such as LAN (Local Area Network;Hereinafter referred to as: LAN), wide area network (Wide Area Network;Hereinafter referred to as:WAN) and/or public network, for example, internet) communication.Such as figure Shown in 6, network adapter 20 is communicated by bus 18 with other modules of computer equipment 12.Although should be understood that in Fig. 6 not It shows, other hardware and/or software module can be used in conjunction with computer equipment 12, including but not limited to:Microcode, equipment are driven Dynamic device, redundant processing unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 is stored in program in system storage 28 by operation, to perform various functions application and Data processing, such as realize the generation method of news program provided by the embodiments of the present application.
The embodiment of the present application also provides a kind of non-transitorycomputer readable storage medium, is stored thereon with computer journey The generation method of news program provided by the embodiments of the present application may be implemented in sequence, above computer program when being executed by processor.
Appointing for one or more computer-readable media may be used in above-mentioned non-transitorycomputer readable storage medium Meaning combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer can It reads storage medium and for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device Or device, or the arbitrary above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: Electrical connection, portable computer diskette, hard disk, random access memory (RAM), read-only storage with one or more conducting wires Device (Read Only Memory;Hereinafter referred to as:ROM), erasable programmable read only memory (Erasable Programmable Read Only Memory;Hereinafter referred to as:EPROM) or flash memory, optical fiber, portable compact disc are read-only deposits Reservoir (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer Readable storage medium storing program for executing, which can be any, includes or the tangible medium of storage program, which can be commanded execution system, device Either device use or in connection.
Computer-readable signal media may include in a base band or as the data-signal that a carrier wave part is propagated, Wherein carry computer-readable program code.Diversified forms may be used in the data-signal of this propagation, including --- but It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be Any computer-readable medium other than computer readable storage medium, which can send, propagate or Transmission for by instruction execution system, device either device use or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with one or more programming languages or combinations thereof come write for execute the application operation computer Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion Divide and partly executes or executed on a remote computer or server completely on the remote computer on the user computer. It is related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (Local Area Network;Hereinafter referred to as:) or wide area network (Wide Area Network LAN;Hereinafter referred to as:WAN) it is connected to user Computer, or, it may be connected to outer computer (such as being connected by internet using ISP).
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office It can be combined in any suitable manner in one or more embodiments or example.In addition, without conflicting with each other, the skill of this field Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples It closes and combines.
In addition, term " first ", " second " are used for description purposes only, it is not understood to indicate or imply relative importance Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or Implicitly include at least one this feature.In the description of the present application, the meaning of " plurality " is at least two, such as two, three It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discuss suitable Sequence, include according to involved function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be by the application Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for Instruction execution system, device or equipment (system of such as computer based system including processor or other can be held from instruction The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicating, propagating or passing Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment It sets.The more specific example (non-exhaustive list) of computer-readable medium includes following:Electricity with one or more wiring Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (Random Access Memory;Hereinafter referred to as:RAM), read-only memory (Read Only Memory;Hereinafter referred to as:ROM), erasable editable Read memory (Erasable Programmable Read Only Memory;Hereinafter referred to as:EPROM) or flash memory, Fiber device and portable optic disk read-only storage (Compact Disc Read Only Memory;Hereinafter referred to as:CD- ROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other suitable media, because For can be then suitable with other into edlin, interpretation or when necessary for example by carrying out optical scanner to paper or other media Mode is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the application can be realized with hardware, software, firmware or combination thereof.Above-mentioned In embodiment, software that multiple steps or method can in memory and by suitable instruction execution system be executed with storage Or firmware is realized.Such as, if realized in another embodiment with hardware, following skill well known in the art can be used Any one of art or their combination are realized:With for data-signal realize logic function logic gates from Logic circuit is dissipated, the application-specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (Programmable Gate Array;Hereinafter referred to as:PGA), field programmable gate array (Field Programmable Gate Array;Below Referred to as:FPGA) etc..
Those skilled in the art are appreciated that realize all or part of step that above-described embodiment method carries Suddenly it is that relevant hardware can be instructed to complete by program, the program can be stored in a kind of computer-readable storage medium In matter, which includes the steps that one or a combination set of embodiment of the method when being executed.
In addition, each functional unit in each embodiment of the application can be integrated in a processing module, it can also That each unit physically exists alone, can also two or more units be integrated in a module.Above-mentioned integrated mould The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as Fruit is realized in the form of software function module and when sold or used as an independent product, can also be stored in a computer In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above Embodiments herein is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as the limit to the application System, those skilled in the art can be changed above-described embodiment, change, replace and become within the scope of application Type.

Claims (28)

1. a kind of generation method of news program, which is characterized in that including:
Keyword input by user is obtained, the article with the Keywords matching is obtained according to the keyword;
Obtain the screening strategy that the user selects from policy library;
It is screened and is sorted according to the article of the screening strategy pair and the Keywords matching;
The contents list of news program is generated according to ranking results.
2. according to the method described in claim 1, it is characterized in that, the screening strategy includes weighted strategy;
The article according to the screening strategy pair and the Keywords matching screened and sort including:
Basic score pair with the article for meeting the weighted strategy in the article of the Keywords matching, is weighted, Obtain the weighted score for the article for meeting the weighted strategy;
The article for meeting the weighted strategy is ranked up according to the weighted score.
3. according to the method described in claim 2, it is characterized in that, the weighted strategy includes content quality;
The basic score for meeting the article of the weighted strategy in the described pair of article with the Keywords matching, is weighted meter It calculates, the weighted score for obtaining the article for meeting the weighted strategy includes:
With the article of the Keywords matching, acquisition content quality is greater than or equal to the article of predetermined threshold;
Calculate the product of the basic score weight corresponding with content quality dimension of the article obtained, the article as the acquisition Weighted score.
4. according to the method described in claim 2, it is characterized in that, the weighted strategy includes keyword;
The basic score for meeting the article of the weighted strategy in the described pair of article with the Keywords matching, is weighted meter It calculates, the weighted score for obtaining the article for meeting the weighted strategy includes:
With the article of the Keywords matching, acquisition includes the article of designated key word;
The product of the basic score weight corresponding with keyword dimension of the article obtained is calculated, article as the acquisition Weighted score.
5. according to the method described in claim 2, it is characterized in that, the weighted strategy includes timeliness;
The basic score for meeting the article of the weighted strategy in the described pair of article with the Keywords matching, is weighted meter It calculates, the weighted score for obtaining the article for meeting the weighted strategy includes:
With the article of the Keywords matching, article of the issuing time within the scope of the timeliness of setting is obtained;
The product of the basic score weight corresponding with timeliness dimension of the article obtained is calculated, article as the acquisition adds Weigh score.
6. according to the method described in claim 2, it is characterized in that, the weighted strategy includes region;
The basic score for meeting the article of the weighted strategy in the described pair of article with the Keywords matching, is weighted meter It calculates, the weighted score for obtaining the article for meeting the weighted strategy includes:
With the article of the Keywords matching, the described scene of event of acquisition and the location of viewer match Article;
The product of the basic score weight corresponding with region dimension of the article obtained is calculated, article as the acquisition adds Weigh score.
7. according to the method described in claim 2, it is characterized in that, the weighted strategy includes picture;
The basic score for meeting the article of the weighted strategy in the described pair of article with the Keywords matching, is weighted meter It calculates, the weighted score for obtaining the article for meeting the weighted strategy includes:
With the article of the Keywords matching, acquisition includes the article of picture;
The product of the basic score weight corresponding with picture dimension of the article obtained is calculated, article as the acquisition adds Weigh score.
8. according to the method described in claim 1, it is characterized in that, the screening strategy includes filtering policy;
The article according to the screening strategy pair and the Keywords matching carries out screening:
The article for meeting the filtering policy is deleted from the article of the Keywords matching.
9. according to the method described in claim 8, it is characterized in that, the filtering policy includes content quality;
It is described to include by the article for meeting filtering policy deletion from the article of the Keywords matching:
With the article of the Keywords matching, acquisition content quality is less than the article of predetermined threshold;
The article of acquisition is deleted from the article of the Keywords matching.
10. according to the method described in claim 8, it is characterized in that, the filtering policy includes timeliness;
It is described to include by the article for meeting filtering policy deletion from the article of the Keywords matching:
With the article of the Keywords matching, the issuing time not article within the scope of the timeliness of setting is obtained;
The article of acquisition is deleted from the article of the Keywords matching.
11. according to the method described in claim 8, it is characterized in that, the filtering policy includes region;
It is described to include by the article for meeting filtering policy deletion from the article of the Keywords matching:
In the location mismatch with the scene and viewer that in the article of the Keywords matching, obtain described event Article;
The article of acquisition is deleted from the article of the Keywords matching.
12. according to the method described in claim 8, it is characterized in that, the filtering policy includes user preferences;
It is described to include by the article for meeting filtering policy deletion from the article of the Keywords matching:
With the article of the Keywords matching, the unmatched article of hobby of point of interest and viewer is obtained;
The article of acquisition is deleted from the article of the Keywords matching.
13. according to the method described in claim 8, it is characterized in that, the filtering policy includes picture;
It is described to include by the article for meeting filtering policy deletion from the article of the Keywords matching:
With the article of the Keywords matching, the article for not including picture is obtained;
The article of acquisition is deleted from the article of the Keywords matching.
14. a kind of generating means of news program, which is characterized in that including:
Module is obtained, for obtaining keyword input by user, the text with the Keywords matching is obtained according to the keyword Chapter;And obtain the screening strategy that the user selects from policy library;
Screening module, for being screened and being sorted according to the article of the screening strategy pair and the Keywords matching;
Generation module, the contents list for generating news program according to ranking results.
15. device according to claim 14, which is characterized in that
The screening module, specifically for when the screening strategy includes weighted strategy, the text pair with the Keywords matching The basic score for meeting the article of the weighted strategy in chapter, is weighted, and obtains the article for meeting the weighted strategy Weighted score, the article for meeting the weighted strategy is ranked up according to the weighted score.
16. device according to claim 15, which is characterized in that
The screening module, specifically for when the weighted strategy includes content quality, in the text with the Keywords matching Zhang Zhong obtains the article that content quality is greater than or equal to predetermined threshold, calculates the basic score and content quality of the article of acquisition The product of the corresponding weight of dimension, the weighted score of the article as the acquisition.
17. device according to claim 15, which is characterized in that
The screening module, specifically for when the weighted strategy includes keyword, in the article with the Keywords matching In, acquisition includes the article of designated key word;Calculate the basic score weight corresponding with keyword dimension of the article obtained Product, the weighted score of the article as the acquisition.
18. device according to claim 15, which is characterized in that
The screening module, specifically for when the weighted strategy includes timeliness, in the article of the Keywords matching, Obtain article of the issuing time within the scope of the timeliness of setting;The basic score for calculating the article obtained is corresponding with timeliness dimension The product of weight, the weighted score of the article as the acquisition.
19. device according to claim 15, which is characterized in that
The screening module, specifically for when the weighted strategy includes region, in the article of the Keywords matching, The article that the scene of event and the location of viewer match described by obtaining;Calculate the basic score of the article obtained The product of weight corresponding with region dimension, the weighted score of the article as the acquisition.
20. device according to claim 15, which is characterized in that
The screening module, specifically for when the weighted strategy includes picture, in the article of the Keywords matching, Acquisition includes the article of picture;The product for calculating the basic score weight corresponding with picture dimension of the article obtained, as institute State the weighted score of the article of acquisition.
21. device according to claim 14, which is characterized in that
The screening module, specifically for when the screening strategy includes filtering policy, from the text with the Keywords matching The article for meeting the filtering policy is deleted in chapter.
22. device according to claim 21, which is characterized in that
The screening module, specifically for when the filtering policy includes content quality, in the text with the Keywords matching Zhang Zhong obtains the article that content quality is less than predetermined threshold;The article of acquisition is deleted from the article of the Keywords matching It removes.
23. device according to claim 21, which is characterized in that
The screening module, specifically for when the filtering policy includes timeliness, in the article of the Keywords matching, Obtain the issuing time not article within the scope of the timeliness of setting;By the article of acquisition from the article of the Keywords matching It deletes.
24. device according to claim 21, which is characterized in that
The screening module, specifically for when the filtering policy includes region, in the article of the Keywords matching, Obtain the unmatched article in location of the scene and viewer of described event;From the article with the Keywords matching The middle article by acquisition is deleted.
25. device according to claim 21, which is characterized in that
The screening module, specifically for when the filtering policy includes user preferences, in the text with the Keywords matching Zhang Zhong obtains the unmatched article of hobby of point of interest and viewer;By acquisition from the article of the Keywords matching Article is deleted.
26. device according to claim 21, which is characterized in that
The screening module, specifically for when the filtering policy includes picture, in the article of the Keywords matching, Obtain the article for not including picture;The article of acquisition is deleted from the article of the Keywords matching.
27. a kind of computer equipment, which is characterized in that including memory, processor and be stored on the memory and can be The computer program run on the processor when the processor executes the computer program, realizes such as claim 1- Any method in 13.
28. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the meter The method as described in any in claim 1-13 is realized when calculation machine program is executed by processor.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635082A (en) * 2018-11-26 2019-04-16 平安科技(深圳)有限公司 Policy implication analysis method, device, computer equipment and storage medium
CN111737580A (en) * 2020-06-30 2020-10-02 广州智云尚大数据科技有限公司 Information verification method and device, computer equipment and readable storage medium
CN111859887A (en) * 2020-07-21 2020-10-30 北京北斗天巡科技有限公司 Scientific and technological news automatic writing system based on deep learning
CN113221010A (en) * 2021-05-26 2021-08-06 支付宝(杭州)信息技术有限公司 Event propagation state display method and device and electronic equipment

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8849809B1 (en) * 2010-03-11 2014-09-30 Google Inc. Automated identification of news events
CN105404699A (en) * 2015-12-29 2016-03-16 广州神马移动信息科技有限公司 Method, device and server for searching articles of finance and economics
CN106776741A (en) * 2016-11-18 2017-05-31 北京奇虎科技有限公司 A kind of searching method and device
CN107025312A (en) * 2017-05-19 2017-08-08 北京金山安全软件有限公司 Information providing method and device based on video content
CN107077509A (en) * 2016-11-25 2017-08-18 深圳前海达闼云端智能科技有限公司 A kind of method, device and equipment for improving viewing experience
CN107436922A (en) * 2017-07-05 2017-12-05 北京百度网讯科技有限公司 Text label generation method and device
CN107679038A (en) * 2017-10-16 2018-02-09 北京神州泰岳软件股份有限公司 The abstracting method and device of a kind of text fragment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8849809B1 (en) * 2010-03-11 2014-09-30 Google Inc. Automated identification of news events
CN105404699A (en) * 2015-12-29 2016-03-16 广州神马移动信息科技有限公司 Method, device and server for searching articles of finance and economics
CN106776741A (en) * 2016-11-18 2017-05-31 北京奇虎科技有限公司 A kind of searching method and device
CN107077509A (en) * 2016-11-25 2017-08-18 深圳前海达闼云端智能科技有限公司 A kind of method, device and equipment for improving viewing experience
CN107025312A (en) * 2017-05-19 2017-08-08 北京金山安全软件有限公司 Information providing method and device based on video content
CN107436922A (en) * 2017-07-05 2017-12-05 北京百度网讯科技有限公司 Text label generation method and device
CN107679038A (en) * 2017-10-16 2018-02-09 北京神州泰岳软件股份有限公司 The abstracting method and device of a kind of text fragment

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635082A (en) * 2018-11-26 2019-04-16 平安科技(深圳)有限公司 Policy implication analysis method, device, computer equipment and storage medium
CN111737580A (en) * 2020-06-30 2020-10-02 广州智云尚大数据科技有限公司 Information verification method and device, computer equipment and readable storage medium
CN111737580B (en) * 2020-06-30 2021-01-29 深圳市中电网络技术有限公司 Information verification method and device, computer equipment and readable storage medium
CN111859887A (en) * 2020-07-21 2020-10-30 北京北斗天巡科技有限公司 Scientific and technological news automatic writing system based on deep learning
CN113221010A (en) * 2021-05-26 2021-08-06 支付宝(杭州)信息技术有限公司 Event propagation state display method and device and electronic equipment
CN113221010B (en) * 2021-05-26 2023-06-02 支付宝(杭州)信息技术有限公司 Event propagation state display method and device and electronic equipment

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