CN102541921A - Control method and device for recommending resources through tag extension - Google Patents
Control method and device for recommending resources through tag extension Download PDFInfo
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- CN102541921A CN102541921A CN2010106138178A CN201010613817A CN102541921A CN 102541921 A CN102541921 A CN 102541921A CN 2010106138178 A CN2010106138178 A CN 2010106138178A CN 201010613817 A CN201010613817 A CN 201010613817A CN 102541921 A CN102541921 A CN 102541921A
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Abstract
The invention provides a control method for recommending resources through tag extension, which comprises the following steps: a, determining the weight of a candidate extension tag; b, extending the candidate extension tag to generate an extended tag; c, determining the weight of the extended tag; and d, recommending resources according to the weight of the extended tag. The invention also provides a corresponding control device. The method is a recommending method combining tag extension by semanteme and related relationships and time degradation. The method has the advantages of grasping users' interests more accurately, following trend of interest change of users and finding proper resources more easily.
Description
Technical field
The present invention relates to technical field, specifically a kind of recommend method of expanding label and binding time degeneration through semanteme and correlationship based on the label recommendation.
Background technology
Along with the arriving of information age, network information exponentially type increases, and we are easy to occur the phenomenon of " information overload " and " information is isotropic " when on network, searching relevant information.The birth of personalized service technology finds the resource of most worthy to provide a great help for people from the network of information explosion.
Traditional recommend method has two kinds, content-based filtration and collaborative filtering.The former produces recommendation list through seeking the give a mark similar resource of higher resource of user, and the latter produces recommendation list through seeking the higher resource of user's nearest-neighbors marking.Commending system produces based on the understanding to user preference and recommends, and therefore, whether user preference is understood accurately is the key factor that influences recommendation effect.Yet, to some degree, the preference of understanding the user that traditional recommend method can not be real.Whether it can only judges like certain resource, is because what feature of this resource is interested in this resource and can not differentiate the user.Not enough based on this point, the label commending system arises at the historic moment.It stamps feature tag for resource, and what system can be to the interested resource characteristic of user through analytic learning just, and then makes better recommendation.
Summary of the invention
To defective of the prior art, the purpose of this invention is to provide a kind of control method and control corresponding device of recommending resource through extension tag.
According to an aspect of the present invention, a kind of control method through extension tag recommendation resource is provided, comprise step: a. confirms the weight of alternative extension tag; B. said alternative extension tag is expanded to generate and be expanded label; C. confirm the said weight that is expanded label; D. confirm to recommend resource according to the said weight that is expanded label.
According to another aspect of the present invention, also provide a kind of and recommend the control device of resource through extension tag, comprise device: first confirms device, and it is used for confirming the weight of alternative extension tag; First generating apparatus, it is used for that said alternative extension tag is expanded generation and is expanded label; Second confirms device, and it is used for confirming the said weight that is expanded label; The 3rd confirms device, and it is used for confirming to recommend resource according to the said weight that is expanded label.
Can not accurately hold the deficiency of user interest point in order to overcome traditional recommend method; The invention provides a kind of recommend method of expanding label and binding time degeneration through semanteme and correlationship; This method is in the label commending system; Draw user interest point through the label analysis, and label is carried out the expansion of time degeneration processing and semantic and correlationship, produce the resource recommendation tabulation.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of recommend method of expanding label and binding time degeneration through semanteme and correlationship; Be applied to use in the commending system that label comes resource is identified, at first binding time is degenerated, and calculates each label weight; Find out the user's interest label; And through semantic relation and correlationship two aspects label is expanded, producing the resource recommendation tabulation according to different label weights for the user again, its concrete grammar is described below:
The first step: select and to produce the user of resource recommendation tabulation for it;
Second step: confirm to be used to analyze and produce the time span of the data set of recommendation, be designated as Period;
The 3rd step: establishing ti is a certain label, and this user of mark uses the number of times of ti, and note is made Count (ti);
The 4th step: the time weighting of mark ti, note is made Time (ti),
The last time-current time of using ti of Time (ti)=1-| user |/Period;
The 5th step: calculate the weight of ti, note is made Weight (ti)=Count (ti) * Time (ti);
The 6th step: repeat the 3rd and went on foot for the 5th step, calculate the weight of each label;
The 7th step:, select the maximum top-n label of weight as the user's interest label according to the weight of each label;
The 8th step: according to Porter Stemming algorithm, from tag library, find with top-n in the label root identical, spell similar label, carry out label and expand, and give and be expanded the label respective weights;
The 9th step: the notion of utilization body, from tag library, find with top-n in the label synonym or the label of similar import, carry out the semantic extension of label, and give and be expanded the label respective weights;
The tenth step: according to the correlationship of label, i.e. the frequent description resource of co-occurrence, from tag library, find out with top-n in the bigger label of label correlationship, carry out the correlationship expansion of label, and give and be expanded the label respective weights;
The 11 step: through the 7th step to the tenth step, form the user and expand the interest tag library;
The 12 step: the scanning resources bank, to seek and to be beaten the resource of expanding label in the interest tag library and not played label, and be that this resource is given a mark by the user, mark=∑ label weight * quilt is beaten this label number of times;
The 13 step: according to the height of the mark of resource, for this user produces the resource recommendation tabulation;
Compare with background technology, the present invention has following advantage:
More accurately hold user interest.This recommend method is based on label, through the tag identifier resource.The different characteristic that on behalf of this resource, the different labels on the same resource comprise.Analysis user can extract the preference degree of user to a certain characteristic to the use amount of label.Compare simple analysis user and whether like a certain resource, this mode can find user's point of interest more accurately.
The interests change of more being close to the users trend.This recommend method is when the computation tag weight, and introducing time degeneration algorithm is adjusted the label weight.Increasing reduces the weight of user's history tab to the attention rate of the recent label interested of user, helps eliminating the many still recent untapped users " old interest " of total access times, excavates " new interest " that the user pays close attention at present.
Find adequate resources more easily.This recommend method carries out semanteme and correlationship expansion to the user's interest label; Can access identical, the similar or relevant label of characteristic more and user's interest label representative; And then enlarged the scope that to recommend resource; Make the user that more more options arranged, the easier adequate resources that finds.
Description of drawings
Through reading the detailed description of non-limiting example being done with reference to following accompanying drawing, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 illustrates according to the first embodiment of the present invention, recommends the process flow diagram of the control method of resource through extension tag;
Fig. 2 illustrates according to a second embodiment of the present invention, recommends the process flow diagram of the control method of resource through extension tag;
Fig. 3 illustrates a third embodiment in accordance with the invention, recommends the process flow diagram of the control method of resource through extension tag;
Fig. 4 illustrates a fourth embodiment in accordance with the invention, recommends the structural drawing of the control device of resource through extension tag; And
Fig. 5 illustrates according to an embodiment of the present invention, recommends the synoptic diagram of the control method of resource through extension tag.
Embodiment
The invention discloses a kind of recommend method of expanding label and binding time degeneration through semanteme and correlationship; Be applied to use in the commending system that label comes resource is identified; At first binding time is degenerated, and calculates each label weight, finds out the user's interest label; And through semantic relation and correlationship two aspects label is expanded, produce the resource recommendation tabulation according to different label weights for the user again.The present invention utilizes the tag identifier resource, can hold user's point of interest more accurately; Through time degeneration adjustment label weight, the interests change trend that can more be close to the users; Through semanteme and correlationship extension tag, can find more resources that are fit to recommend more.Those skilled in the art can be with reference to the principle shown in the figure 5.
Fig. 1 illustrates according to the first embodiment of the present invention, recommends the process flow diagram of the control method of resource through extension tag.Particularly, in the present embodiment, execution in step S210 at first confirms the weight of alternative extension tag.Execution in step S211 expands generation to said alternative extension tag and is expanded label then.Next execution in step S212 confirms the said weight that is expanded label.Last execution in step S213 confirms to recommend resource according to the said weight that is expanded label.
Fig. 2 illustrates according to a second embodiment of the present invention, recommends the process flow diagram of the control method of resource through extension tag.Those skilled in the art can be interpreted as a preference embodiment illustrated in fig. 1 with the embodiment shown in Fig. 2.Particularly, in the present embodiment, at first execution in step S220 confirms said alternative extension tag.Next execution in step S221 confirms the standard weight of said alternative extension tag according to the label service recorder.Next execution in step S222 selects several and confirms as and treat extension tag from all said alternative extension tags.Next execution in step S223 expands the said label that is expanded of generation to the said extension tag of treating.Next execution in step S224 confirms as the said weight that is expanded label with the weight of said alternative extension tag.Next execution in step S225 confirms alternative resource.Next execution in step S226 marks to said alternative resource.Next execution in step S227 confirms said recommendation resource according to the height of said alternative resource scoring.
Wherein, said step S220 and step S221 are appreciated that an embodiment into said step S210.Said step S222 and step S223 are appreciated that an embodiment into said step S211.Said step S224 is appreciated that an embodiment into said step S212.Said step S225, step S226 and step S227 are appreciated that an embodiment into said step S213.
In a preference of present embodiment, said step S220 comprises the step of " user's used label in very first time section is confirmed as said alternative extension tag ".
In another preference of present embodiment, said step S223 comprises the step of " will treat that the extension tag root is identical and/or spell similar label and confirm as the said label that is expanded with said ", the step of " treating that to said extension tag carries out semantic extension and generates the said label that is expanded " and the step of " treating that to said extension tag carries out the correlationship expansion and generates the said label that is expanded ".
In another preference of present embodiment, the scoring=∑ of said alternative resource is expanded label weight * and was added the said number of times that is expanded label.
In another preference of present embodiment, said step S227 comprises the step of " the said alternative resource of several that will mark higher is confirmed as said recommendation resource ".
Fig. 3 illustrates a third embodiment in accordance with the invention, recommends the process flow diagram of the control method of resource through extension tag.Those skilled in the art can be interpreted as the embodiment shown in Fig. 3 the preference of the said step S221 in embodiment illustrated in fig. 2.Particularly; In the present embodiment, at first execution in step S230 writes down the number of times weight of confirming said alternative extension tag according to said access times; Wherein, said access times record is used to put down in writing the number of times of the use said alternative extension tag of user in said very first time section.Execution in step S231 then confirms the time weighting of said alternative extension tag according to the last service time of said user and very first time section.Next execution in step S232 confirms the standard weight of said alternative extension tag according to said number of times weight and said time weighting.Preferably, said label service recorder comprises access times record, the last service time of user and very first time section.
In a preference of present embodiment; Said step S230 comprises that step " writes down the access times of being put down in writing with said access times and confirms as said number of times weight "; Wherein, The last service time-current time of said time weighting=1-| user |/very first time section, said standard weight=number of times weight * time weighting.
Fig. 4 illustrates a fourth embodiment in accordance with the invention, recommends the structural drawing of the control device of resource through extension tag.Particularly, in the present embodiment, said control device 4 comprises that first confirms device 41, and it is used for confirming the weight of alternative extension tag; First generating apparatus 42, it is used for that said alternative extension tag is expanded generation and is expanded label; Second confirms device 43, and it is used for confirming the said weight that is expanded label; The 3rd confirms device 44, and it is used for confirming to recommend resource according to the said weight that is expanded label.
Preferably, said first confirms that device 41 comprises that the 4th confirms device 411, and it is used for confirming said alternative extension tag; The 5th confirms device 421, and it is used for confirming according to the label service recorder standard weight of said alternative extension tag.
Preferably, said first generating apparatus 42 comprises that the 11 confirms device 421, and it is used for selecting several from all said alternative extension tags and confirms as and treat extension tag; Second generating apparatus 422, it is used for the said extension tag of treating is expanded the said label that is expanded of generation.
Preferably, said second confirms that device 43 comprises that the 12 confirms device 431, and it is used for the weight of said alternative extension tag is confirmed as the said weight that is expanded label.
Preferably, the said the 3rd confirms that device 44 comprises that the 13 confirms device 441, and it is used for confirming alternative resource; First scoring apparatus 442, it is used for said alternative resource is marked; The 14 confirms device 443, and it is used for confirming said recommendation resource according to the height of said alternative resource scoring.
In a preference of present embodiment, the said the 4th confirms that device 411 comprises that the 6th confirms device, and it is used for user's used label in very first time section is confirmed as said alternative extension tag.
In another preference of present embodiment; Said label service recorder comprises access times record, the last service time of user and very first time section; Wherein, the said the 5th confirms that device 412 comprises that the 7th confirms device, and it is used for confirming according to said access times record the number of times weight of said alternative extension tag; Wherein, said access times record is used to put down in writing the number of times of the use said alternative extension tag of user in said very first time section; The 8th confirms device, and it is used for confirming according to the last service time of said user and the very first time section time weighting of said alternative extension tag; The 9th confirms device, and it is used for confirming according to said number of times weight and said time weighting the standard weight of said alternative extension tag.Further preferably; The said the 7th confirms that device comprises that the tenth confirms device; It is used for the access times that said access times record is put down in writing are confirmed as said number of times weight; Wherein, the last service time-current time of said time weighting=1-| user |/very first time section, said standard weight=number of times weight * time weighting.
In another preference of present embodiment, said second generating apparatus 422 can comprise that the 18 confirms device, and it is used for treating that the extension tag root is identical and/or spell similar label and confirm as the said label that is expanded with said; The 3rd generating apparatus, it is used for treating that to said extension tag carries out semantic extension and generates the said label that is expanded; And the 4th generating apparatus, it is used for treating that to said extension tag carries out the correlationship expansion and generates the said label that is expanded.
In another preference of present embodiment, the said the 13 confirms that device 441 comprises that the 15 confirms device, and it is used to confirm to be added the said resource that is expanded label; The 16 confirms device, and it is used for saidly not comprised the said resource that is expanded label and confirm as said alternative resource by what the user added label.Preferably, the scoring=∑ of said alternative resource is expanded label weight * and was added the said number of times that is expanded label.
In another preference of present embodiment, the said the 14 confirms that device comprises that the 17 confirms device, and it is used for several higher said alternative resources of scoring are confirmed as said recommendation resource.
Fig. 5 illustrates according to an embodiment of the present invention, recommends the synoptic diagram of the control method of resource through extension tag.Particularly, preferably, in this embodiment, accomplish technical scheme provided by the invention through following process:
(1): be its user who produces resource recommendation tabulation section (Period) interior label service recorder at the appointed time;
(2): establishing ti is a certain label, and this user of mark uses the number of times of ti, and note is made Count (ti).The time weighting of mark ti, note is made Time (ti).The last time-current time of using ti of Time (ti)=1-| user |/Period.Calculate the weight of ti, note is made Weight (ti)=Count (ti) * Time (ti); Calculate the weight of each label according to this;
(3):, select the maximum top-n label of weight as the user interest label according to the weight of each label;
(4): according to Porter Stemming algorithm, from tag library, find with top-n in the label root identical, spell similar label, carry out label expansion, and give and be expanded the label respective weights;
(5): from tag library, find with top-n in the label synonym or the label of similar import, carry out the semantic extension of label, and give and be expanded the label respective weights;
(6): according to the correlationship of label, i.e. the frequent description resource of co-occurrence, from tag library, find out with top-n in the bigger label of label correlationship, carry out the correlationship expansion of label, and give and be expanded the label respective weights;
(7):, form user's extension tag through (4) to (6);
(8): the scanning resources bank, to seek and to be beaten the resource of expanding label in the interest tag library and not played label, and be that this resource is given a mark by the user, mark=label weight * quilt is beaten this label number of times;
(9): according to the height of the mark of resource, for this user produces the resource recommendation tabulation.
More than specific embodiment of the present invention is described.It will be appreciated that the present invention is not limited to above-mentioned specific implementations, those skilled in the art can make various distortion or modification within the scope of the claims, and this does not influence flesh and blood of the present invention.
Claims (24)
1. the control method through extension tag recommendation resource is characterized in that, comprises the steps:
A. confirm the weight of alternative extension tag;
B. said alternative extension tag is expanded to generate and be expanded label;
C. confirm the said weight that is expanded label;
D. confirm to recommend resource according to the said weight that is expanded label.
2. control method according to claim 1 is characterized in that said step a comprises the steps:
A1. confirm said alternative extension tag;
A2. confirm the standard weight of said alternative extension tag according to the label service recorder.
3. control method according to claim 2 is characterized in that said step a1 comprises the steps:
A11. user's used label in very first time section is confirmed as said alternative extension tag.
4. according to claim 2 or 3 described control methods, it is characterized in that said label service recorder comprises access times record, the last service time of user and very first time section, wherein, said step a2 comprises the steps:
A21. confirm the number of times weight of said alternative extension tag according to said access times record, wherein, said access times record is used to put down in writing the number of times of the said alternative extension tag of use of user in said very first time section;
A22. confirm the time weighting of said alternative extension tag according to the last service time of said user and very first time section;
A23. confirm the standard weight of said alternative extension tag according to said number of times weight and said time weighting.
5. control method according to claim 4 is characterized in that said step a21 comprises the steps:
-said access times are write down the access times of being put down in writing confirm as said number of times weight,
Wherein, the last service time-current time of said time weighting=1-| user |/very first time section, said standard weight=number of times weight * time weighting.
6. according to each described control method in the claim 1 to 5, it is characterized in that said step b comprises the steps:
B1. from all said alternative extension tags, selecting several confirms as and treats extension tag;
B2. the said extension tag of treating is expanded the said label that is expanded of generation.
7. control method according to claim 6 is characterized in that, any during said step b2 comprises the steps or a plurality of steps:
-will treat that the extension tag root is identical and/or spell similar label and confirm as the said label that is expanded with said;
-treat that to said extension tag carries out semantic extension and generates the said label that is expanded;
-treat that to said extension tag carries out the correlationship expansion and generates the said label that is expanded.
8. according to each described control method in the claim 1 to 7, it is characterized in that said step c comprises the steps:
C1. the weight of said alternative extension tag is confirmed as the said weight that is expanded label.
9. according to each described control method in the claim 1 to 8, it is characterized in that said steps d comprises the steps:
D1. confirm alternative resource;
D2. said alternative resource is marked;
D3. confirm said recommendation resource according to the height of said alternative resource scoring.
10. control method according to claim 9 is characterized in that, said steps d 1 comprises the steps:
D11. confirm to be added the said resource that is expanded label;
D12. with saidly not comprised the said resource that is expanded label and confirm as said alternative resource by what the user added label.
11., it is characterized in that the scoring=∑ of said alternative resource is expanded label weight * and was added the said number of times that is expanded label according to claim 10 or 11 described control methods.
12., it is characterized in that said steps d 3 comprises the steps: according to each described control method in the claim 9 to 11
D31. the said alternative resource of several that will mark higher is confirmed as said recommendation resource.
13. the control device through extension tag recommendation resource is characterized in that, comprises like lower device:
First confirms device, and it is used for confirming the weight of alternative extension tag;
First generating apparatus, it is used for that said alternative extension tag is expanded generation and is expanded label;
Second confirms device, and it is used for confirming the said weight that is expanded label;
The 3rd confirms device, and it is used for confirming to recommend resource according to the said weight that is expanded label.
14. control device according to claim 13 is characterized in that, said first confirms that device comprises like lower device:
The 4th confirms device, and it is used for confirming said alternative extension tag;
The 5th confirms device, and it is used for confirming according to the label service recorder standard weight of said alternative extension tag.
15. control device according to claim 14 is characterized in that, the said the 4th confirms that device comprises like lower device:
The 6th confirms device, and it is used for user's used label in very first time section is confirmed as said alternative extension tag.
16., it is characterized in that said label service recorder comprises access times record, the last service time of user and very first time section according to claim 14 or 15 described control device, wherein, the said the 5th confirms that device comprises like lower device:
The 7th confirms device, and it is used for confirming according to said access times record the number of times weight of said alternative extension tag, and wherein, said access times record is used to put down in writing the number of times of the use said alternative extension tag of user in said very first time section;
The 8th confirms device, and it is used for confirming according to the last service time of said user and the very first time section time weighting of said alternative extension tag;
The 9th confirms device, and it is used for confirming according to said number of times weight and said time weighting the standard weight of said alternative extension tag.
17. control device according to claim 16 is characterized in that, the said the 7th confirms that device comprises like lower device:
-Di ten confirms device, and it is used for the access times that said access times record is put down in writing are confirmed as said number of times weight,
Wherein, the last service time-current time of said time weighting=1-| user |/very first time section, said standard weight=number of times weight * time weighting.
18., it is characterized in that said first generating apparatus comprises like lower device according to each described control device in the claim 13 to 17:
The 11 confirms device, and it is used for selecting several from all said alternative extension tags and confirms as and treat extension tag;
Second generating apparatus, it is used for the said extension tag of treating is expanded the said label that is expanded of generation.
19. control device according to claim 18 is characterized in that, said second generating apparatus comprise as in the lower device any or appoint multiple arrangement:
-Di 18 confirms devices, and it is used for treating that the extension tag root is identical and/or spell similar label and confirm as the said label that is expanded with said;
-Di three generating apparatus, it is used for treating that to said extension tag carries out semantic extension and generates the said label that is expanded;
-Di four generating apparatus, it is used for treating that to said extension tag carries out the correlationship expansion and generates the said label that is expanded.
20., it is characterized in that said second confirms that device comprises like lower device according to each described control device in the claim 13 to 19:
The 12 confirms device, and it is used for the weight of said alternative extension tag is confirmed as the said weight that is expanded label.
21., it is characterized in that the said the 3rd confirms that device comprises like lower device according to each described control device in the claim 13 to 20:
The 13 confirms device, and it is used for confirming alternative resource;
First scoring apparatus, it is used for said alternative resource is marked;
The 14 confirms device, and it is used for confirming said recommendation resource according to the height of said alternative resource scoring.
22. control device according to claim 21 is characterized in that, the said the 13 confirms that device comprises like lower device:
The 15 confirms device, and it is used to confirm to be added the said resource that is expanded label;
The 16 confirms device, and it is used for saidly not comprised the said resource that is expanded label and confirm as said alternative resource by what the user added label.
23., it is characterized in that the scoring=∑ of said alternative resource is expanded label weight * and was added the said number of times that is expanded label according to claim 22 or 23 described control device.
24., it is characterized in that the said the 14 confirms that device comprises like lower device according to each described control device in the claim 21 to 23:
The 17 confirms device, and it is used for several higher said alternative resources of scoring are confirmed as said recommendation resource.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102867016A (en) * | 2012-07-18 | 2013-01-09 | 北京开心人信息技术有限公司 | Label-based social network user interest mining method and device |
CN106815352A (en) * | 2017-01-17 | 2017-06-09 | 维沃移动通信有限公司 | A kind of data push method and mobile terminal |
CN107239993A (en) * | 2017-05-24 | 2017-10-10 | 海南大学 | A kind of matrix decomposition recommendation method and system based on expansion label |
CN110929052A (en) * | 2019-12-03 | 2020-03-27 | 北京奇艺世纪科技有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
CN111428145A (en) * | 2020-03-19 | 2020-07-17 | 重庆邮电大学 | Recommendation method and system fusing tag data and naive Bayesian classification |
CN111680219A (en) * | 2020-06-09 | 2020-09-18 | 腾讯科技(深圳)有限公司 | Content recommendation method, device, equipment and readable storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101321190A (en) * | 2008-07-04 | 2008-12-10 | 清华大学 | Recommend method and recommend system of heterogeneous network |
US20090063568A1 (en) * | 2007-08-30 | 2009-03-05 | Samsung Electronics Co., Ltd. | Method and apparatus for constructing user profile using content tag, and method for content recommendation using the constructed user profile |
CN101408887A (en) * | 2007-10-05 | 2009-04-15 | 富士通株式会社 | Recommending terms to specify body space |
CN101751448A (en) * | 2009-07-22 | 2010-06-23 | 中国科学院自动化研究所 | Commendation method of personalized resource information based on scene information |
CN101853470A (en) * | 2010-05-28 | 2010-10-06 | 浙江大学 | Collaborative filtering method based on socialized label |
-
2010
- 2010-12-24 CN CN2010106138178A patent/CN102541921A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090063568A1 (en) * | 2007-08-30 | 2009-03-05 | Samsung Electronics Co., Ltd. | Method and apparatus for constructing user profile using content tag, and method for content recommendation using the constructed user profile |
CN101408887A (en) * | 2007-10-05 | 2009-04-15 | 富士通株式会社 | Recommending terms to specify body space |
CN101321190A (en) * | 2008-07-04 | 2008-12-10 | 清华大学 | Recommend method and recommend system of heterogeneous network |
CN101751448A (en) * | 2009-07-22 | 2010-06-23 | 中国科学院自动化研究所 | Commendation method of personalized resource information based on scene information |
CN101853470A (en) * | 2010-05-28 | 2010-10-06 | 浙江大学 | Collaborative filtering method based on socialized label |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102867016A (en) * | 2012-07-18 | 2013-01-09 | 北京开心人信息技术有限公司 | Label-based social network user interest mining method and device |
CN106815352A (en) * | 2017-01-17 | 2017-06-09 | 维沃移动通信有限公司 | A kind of data push method and mobile terminal |
CN106815352B (en) * | 2017-01-17 | 2018-09-04 | 维沃移动通信有限公司 | A kind of data push method and mobile terminal |
CN107239993A (en) * | 2017-05-24 | 2017-10-10 | 海南大学 | A kind of matrix decomposition recommendation method and system based on expansion label |
CN110929052A (en) * | 2019-12-03 | 2020-03-27 | 北京奇艺世纪科技有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
CN110929052B (en) * | 2019-12-03 | 2023-04-18 | 北京奇艺世纪科技有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
CN111428145A (en) * | 2020-03-19 | 2020-07-17 | 重庆邮电大学 | Recommendation method and system fusing tag data and naive Bayesian classification |
CN111428145B (en) * | 2020-03-19 | 2022-12-27 | 重庆邮电大学 | Recommendation method and system fusing tag data and naive Bayesian classification |
CN111680219A (en) * | 2020-06-09 | 2020-09-18 | 腾讯科技(深圳)有限公司 | Content recommendation method, device, equipment and readable storage medium |
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