CN108416019A - Conjunctive word method of adjustment and adjustment system - Google Patents
Conjunctive word method of adjustment and adjustment system Download PDFInfo
- Publication number
- CN108416019A CN108416019A CN201810181823.7A CN201810181823A CN108416019A CN 108416019 A CN108416019 A CN 108416019A CN 201810181823 A CN201810181823 A CN 201810181823A CN 108416019 A CN108416019 A CN 108416019A
- Authority
- CN
- China
- Prior art keywords
- keyword
- keywords database
- word
- core word
- weight
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
- G06F16/90348—Query processing by searching ordered data, e.g. alpha-numerically ordered data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention provides a kind of conjunctive word method of adjustment and adjustment systems, the conjunctive word method of adjustment is by being arranged multiple keywords databases, and by the core word and the original weight of multiple primary keys imparting in keywords database, and record the access times of each core word and primary keys in each keywords database；Multiple keywords arranged in order that the keyword set that article resource provides includes are searched after article resource can be obtained；The keywords database of default degree of association threshold value can be also more than according to first keyword lookup and the degree of association of core word；And each keyword is added in the keywords database found；And according to the degree of association of first keyword and core word, by putting in order for each keyword, each keyword weight of sequentially imparting from high to low.The conjunctive word method of adjustment of the present invention is continuously increased keyword in keywords database and assigns the keyword weight newly increased, can make search work rapidly and efficiently by setting keywords database, easy to use.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of conjunctive word methods of adjustment, and based under this method
Conjunctive word adjust system.
Background technology
With the fast development of internet, the increase of WEB information, mobile Internet, Internet of Things, artificial intelligence, big data,
The various scenes such as block chain so that information is more and more, but the degree of association between information is worse and worse, and user will be in information sea
The information needed for oneself is searched in ocean, just as looking for a needle in a haystack, what user faced is not to look for less than information, but interferes letter
Breath is excessive, can not find really desired information.The appearance of search system and commending system solves this problem just.It can be with
It provides intelligence, accurate information retrieval service to the user, user is made really to search desired information.
However, the commending system of all trades and professions, search system are essentially all directly to inquire knot based on keyword at present
Fruit finds the incidence relation between different words based on user behavior, and this traditional method can only meet simple applied field
Scape and analysis based on big data could be realized.
Baidu is exactly the apparent search system based on keyword, but its search out the result come must be with the pass of input
Keyword matching just can be with.In addition, the proposed algorithm based on user behavior analysis must be based on the data accumulation and algorithm of magnanimity
Training, have very high threshold for many companies, quickly cannot reach effect in enterprise.
For example, user inputs Tencent, it includes that QQ, wechat, penguin etc. and this word close that user, which wants the result known certainly,
The information of connection, however existing search system and commending system only can will be with Tencent relevant commending contents to client, it is difficult to it is full
The demand of sufficient client.
Invention content
In view of this, the present invention is directed to propose a kind of conjunctive word method of adjustment, quickly and have so that search work can be made more
Effect.
In order to achieve the above objectives, the technical proposal of the invention is realized in this way：
A kind of conjunctive word method of adjustment, this method include：
Multiple keywords databases are set, include to be mutually related original key with a core word in each keywords database
Word, the core word and multiple primary keys are endowed original weight, and record each institute in each keywords database
State the access times of core word and the primary keys；
Obtain article resource；
In the article resource, the keyword set that the article resource provides is searched, is wrapped in the keyword set
Contain multiple keywords arranged in order；
According to the first keyword in the keyword set, search with include in each keywords database it is described
The degree of association of core word is more than the keywords database of default degree of association threshold value；
Each keyword in the keyword set is added in the keywords database found；And foundation
The degree of association of the first keyword and the core word in the keywords database of the keyword set, by described
Each keyword in keyword set puts in order, each institute sequentially assigned in the keyword set from high to low
State the weight of keyword.
Further, further include set-up procedure：According to each primary keys, the core word and each institute filled into
The access times of keyword are stated, each primary keys, the core word and each keyword filled into are dynamically adjusted
Weight.
Further, according to the first keyword in the keyword set, in lookup and each keywords database
Including the degree of association of core word when being more than the keywords database of default degree of association threshold value, be according to the keyword set
The first keyword in conjunction searches the original key in the corresponding keywords database of the first keyword
Word, using the degree of association of the primary keys and the core word that find as the first keyword and the core word
The degree of association.
Further, by each keyword in the keyword set, it is added to the keywords database found
When middle, with the weight of the primary keys found, as the first keyword being added into the keyword
Weight.
Further, the degree of association=a/ of the first keyword and the core word | a-b |；
Wherein, a is the weight of the primary keys in the corresponding keywords database of the first keyword；
B is the weight of core word.
The conjunctive word method of adjustment of the present invention is continuously increased keyword simultaneously by the way that keywords database is arranged in keywords database
The keyword weight newly increased is assigned, search work can be made rapidly and efficiently, it is easy to use.
In addition, the keyword method of adjustment of the present invention, complicated, the continually changing feelings suitable for the today's society network information
Condition can adjust keywords database with the appearance of social hotspots and dynamically, and this incidence relation and dynamic adjustment process are
Automatically it safeguards, user is allow to obtain most effective information within the minimum time, save user time, user is facilitated to make
With.
In addition, present invention simultaneously provides a kind of conjunctive words to adjust system, including：
Memory module includes mutually to be closed with a core word in each keywords database for storing multiple keywords databases
The primary keys of connection, the core word and multiple primary keys are endowed original weight, and record each key
The access times of each core word and the primary keys in dictionary；
Acquisition module, the article resource for obtaining Web Publishing；
Searching module searches the keyword set that the article resource provides, includes multiple in the keyword set
The keyword arranged in order；
Computing unit, according to the first keyword in the keyword set, in calculating and each keywords database
Including the degree of association of the core word be more than the keywords database of default degree of association threshold value；
Add module, for by each keyword in the keyword set, being added to the key found
In dictionary；And the core word in the first keyword according to keyword set described in this and the keywords database
The degree of association, by putting in order for each keyword in the keyword set, the sequentially imparting key from high to low
The weight of each keyword in set of words.
Further, further include：
Logging modle, for recording each primary keys, the core word and each keyword for filling into
Access times, dynamically to adjust the weight of each primary keys, the core word and each keyword filled into.
Conjunctive word of the present invention adjusts system, can keyword method of adjustment above-mentioned be formed modular construction,
So that search work is simpler.
Specific implementation mode
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
Below in conjunction with embodiment, the present invention will be described in detail.
The present embodiment is related to a kind of conjunctive word method of adjustment, and this method includes that multiple keywords databases, each keywords database is arranged
In include to be mutually related primary keys with a core word, core word and multiple primary keys are endowed original weight,
And record the access times of each core word and primary keys in each keywords database.Wherein, score calculating may be used in weight,
It represents the degree of association between primary keys and core word, and 10 points are to be associated with by force, and 1 point is weak rigidity.
For example, in one keywords database, core word is " Tencent ", and weight is 10, access times 100, then original pass
Keyword 1 is " wechat ", and corresponding weight is 9, access times 20, and primary keys 2 are " QQ ", and weight is 8, and access times are
30 etc.；
For another example, in another keywords database, core word is " Massachusetts science and engineering ", and weight is 10, access times 100, then former
Beginning keyword 1 is " MIT ", and corresponding weight is 10, access times 90, and primary keys 2 are " elite school ", and weight is 5, is used
Number is 50 etc.；
Two above example, can comprehensive list it is as shown in table 1.
Core word and primary keys weight and access times in 1 keywords database of table
In order to make user fast and accurately obtain the information of demand, keyword method of adjustment of the invention further includes by obtaining
The keyword in article resource, such as webpage article, paper, periodical, blog, microblogging is taken, the dynamic side for expanding keywords database
Method.
For example, webpage article there are multiple crux words of this article, typically arranged according to the degree of association with article
Sequence.Also it is also to be ranked up according to the degree of association with article content to have keyword, the selection of keyword in paper.It can obtain not
The keyword of same type article resource thinks that the keyword in the same article resource is highly relevant substantially, and can be with
Second keyword of allocating default, the weight of third keyword etc. can be achieved with dynamically expanding keywords database in this way and set
Set weight.
Specifically, the keyword set that article resource provides can be searched by obtaining article resource, in article resource
It closes, includes multiple keywords arranged in order in keyword set；According to the first keyword in keyword set, search
It is more than the keywords database of default degree of association threshold value with the degree of association for the core word for including in each keywords database；It will be in keyword set
Each keyword, be added in the keywords database found；And the first keyword according to the keyword set and the keyword
The degree of association of core word in library, each keyword according to keyword gathering put in order, and sequentially imparting from high to low is closed
The weight of each keyword in keyword set.
By taking an article resource as an example, if the keyword of article resource is Tencent, QQ, king's honor.Then basis " is risen
News ", " QQ " the two keywords, it is known that " king's honor " is added in the keywords database that core word is " Tencent ".Thus
Dynamically keywords database is expanded.The results are shown in table below：
Core word and primary keys weight and access times in keywords database after 2 Dynamic expansion keywords database of table
In above method, the degree of association of first keyword and core word can be used following formula and calculate：
a/|a-b|；
Wherein, a is the weight of the primary keys in the corresponding keywords database of first keyword；B is the weight of core word.
In the present embodiment, there is same keyword in different articles, then it is assumed that two article degrees of association are bigger, then can incite somebody to action
Keyword adds in corresponding keywords database.For example, the keyword of first article is " Tencent ", " penguin "；Second text
The keyword of chapter be " QQ ", " ICQ " " instant messaging "；Because " Tencent " of first article and " QQ " of second article is same
In one keywords database；Then " Tencent ", " penguin ", " QQ ", " ICQ ", " instant messaging " these words belong to same class, are incorporated into
In keywords database.
In addition, in the present embodiment, according to the first keyword in keyword set, searches and include in each keywords database
It is the first keyword in foundation keyword set when the degree of association of core word is more than the keywords database of default degree of association threshold value,
The primary keys in the corresponding keywords database of the first keyword are searched, with the pass of the primary keys and core word that find
The degree of association of the connection degree as first keyword and core word.
In addition, by each keyword in keyword set, when being added in the keywords database found, with the original found
The weight of beginning keyword, the weight as the first keyword being added into keyword.
For example, for example default degree of association threshold value is 3, and the keyword of a certain article resource of acquisition found is successively
For " wechat ", " chat software " and " payment software ", wherein first keyword is " wechat ", " wechat " is in its corresponding keyword
Weight in library is 8, and the degree of association with core word is 8/ | 8-10 |=4, and 4 are more than 3, then by " chat software " and " payment
Software " increases in the keywords database containing " wechat ", and sequentially by " chat software " and " payment software " the two keywords
Weight is assigned, since the weight of " wechat " is 8, then the weight of " chat software " and " payment software " is 7 and 6 respectively.
In order to further increase the fast and effective property of user's search work, keyword method of adjustment of the invention further includes moving
State weight set-up procedure：According to each primary keys, the access times of core word and each keyword filled into, dynamic adjusts each
The weight of primary keys, core word and each keyword filled into.
The record of access times can be based on user and input or click.For example, user is to use word by click, then remember
Employ the number that current term is clicked at family.User use word " Tencent " when, meeting out be " Tencent ", " wechat ",
Contents such as " QQ ", if 20 users click " wechat ", the access times for recording wechat are 20；If 30 users click
" QQ ", the then access times for recording " QQ " are 30.
After recording user clicks, the click volume of current term and previous word is arranged using bubble sort method
Sequence, if current term number of clicks>The number of clicks of previous word then exchanges the weight of two words.For example, " QQ "
Click volume is 30, and the click volume of " wechat " is 20, and " QQ " is bigger than the click volume of " wechat ", then should be by the weight of " QQ " and " wechat "
It exchanges, so the weight of " QQ " becomes 9 at this time, the weight of " wechat " becomes 8, and after dynamic change, the results are shown in table below：
Table 3 dynamically adjusts after weight core word and primary keys weight and access times in keywords database
In above method, adjusted into Mobile state by the weight to core word in keywords database and primary keys, it can root
Dictionary is adjusted into Mobile state according to the transformation of social hotspots, is conducive to the information needed of user rapidly and efficiently.
The conjunctive word method of adjustment of the present invention, can be such that search and commending system is scanned for based on the word in keywords database
And recommendation, and it is not based on the internet information of magnanimity, content is searched for by the way that keywords database is arranged, and according to user, in keyword
It is continuously increased keyword in library and assigns the keyword weight newly increased, search work can be made rapidly and efficiently, it is easy to use.
In addition, the keyword method of adjustment of the present invention, complicated, the continually changing feelings suitable for the today's society network information
Condition can adjust keywords database with the appearance of social hotspots and dynamically, and this incidence relation and dynamic adjustment process are
Automatically it safeguards, user is allow to obtain most effective information within the minimum time, save user time, user is facilitated to make
With.
Meanwhile the present embodiment further relates to a kind of conjunctive word adjustment system, includes mainly memory module, acquisition module, lookup
Module, computing unit and add module.
Wherein：
Memory module includes to be mutually related original with a core word in each keywords database for storing multiple keywords databases
Beginning keyword, core word and multiple primary keys are endowed original weight, and record each core word in each keywords database and
The access times of primary keys；
Acquisition module is used to obtain the article resource of Web Publishing.
Searching module for searching the keyword set that article resource provides, include in keyword set it is multiple in order
The keyword of arrangement.
The core that computing unit is used to calculate according to the first keyword in keyword set with include in each keywords database
The degree of association of word is more than the keywords database of default degree of association threshold value.
Add module is used to be added to each keyword in keyword set in the keywords database found；And foundation
The degree of association of the first keyword and the core word in the keywords database of the keyword set, each key according to keyword gathering
Word puts in order, the weight for sequentially assigning each keyword in keyword set from high to low.
The conjunctive word of the present embodiment adjusts system, further includes logging modle, for record each primary keys, core word with
And the access times of each keyword filled into, dynamically to adjust each primary keys, core word and each keyword for filling into
Weight.
The conjunctive word of the present invention adjusts system, can keyword method of adjustment above-mentioned be formed modular construction so that
Search work is simpler.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
With within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention god.
Claims (7)
1. a kind of conjunctive word method of adjustment, it is characterised in that this method includes：
Multiple keywords databases are set, include to be mutually related primary keys with a core word in each keywords database, institute
It states core word and multiple primary keys is endowed original weight, and record each core in each keywords database
The access times of word and the primary keys；
Obtain article resource；
In the article resource, the keyword set that the article resource provides is searched, includes in the keyword set
Multiple keywords arranged in order；
According to the first keyword in the keyword set, the core for including in lookup and each keywords database
The degree of association of word is more than the keywords database of default degree of association threshold value；
Each keyword in the keyword set is added in the keywords database found；And according to this institute
The degree of association for stating the first keyword and the core word in the keywords database of keyword set, by the key
Each keyword in set of words puts in order, each pass sequentially assigned in the keyword set from high to low
The weight of keyword.
2. conjunctive word method of adjustment according to claim 1, it is characterised in that further include set-up procedure：According to each original
The access times of beginning keyword, the core word and each keyword filled into, dynamically adjust each primary keys,
The weight of the core word and each keyword filled into.
3. conjunctive word method of adjustment according to claim 1, it is characterised in that：According to first in the keyword set
The keyword is searched and is more than default degree of association threshold value with the degree of association for the core word for including in each keywords database
It is to search the first keyword pair according to the first keyword in the keyword set when keywords database
The primary keys in the keywords database answered, with the association of the primary keys and the core word that find
Spend the degree of association as the first keyword and the core word.
4. conjunctive word method of adjustment according to claim 3, it is characterised in that：It will be each described in the keyword set
Keyword, when being added in the keywords database found, with the weight of the primary keys found, as filling into
To the weight of the first keyword in the keyword.
5. conjunctive word method of adjustment according to claim 3, it is characterised in that：The first keyword and the core word
The degree of association=a/ | a-b |；
Wherein, a is the weight of the primary keys in the corresponding keywords database of the first keyword；
B is the weight of core word.
6. a kind of conjunctive word adjusts system, it is characterised in that including：
Memory module includes to be mutually related with a core word in each keywords database for storing multiple keywords databases
Primary keys, the core word and multiple primary keys are endowed original weight, and record each keywords database
In each core word and the primary keys access times；
Acquisition module, the resource for obtaining Web Publishing；
Searching module searches the keyword set that the article resource provides, and includes multiple in the keyword set by suitable
The keyword of sequence arrangement；
Computing unit, according to the first keyword in the keyword set, calculating includes with each keywords database
The degree of association of the core word be more than the keywords database of default degree of association threshold value；
Add module, for by each keyword in the keyword set, being added to the keywords database found
In；And the association of the core word in the first keyword according to keyword set described in this and the keywords database
Degree, by putting in order for each keyword in the keyword set, the sequentially imparting keyword set from high to low
The weight of each keyword in conjunction.
7. conjunctive word according to claim 6 adjusts system, it is characterised in that further include：
Logging modle, the use for recording each primary keys, the core word and each keyword filled into
Number, dynamically to adjust the weight of each primary keys, the core word and each keyword filled into.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810181823.7A CN108416019A (en) | 2018-03-06 | 2018-03-06 | Conjunctive word method of adjustment and adjustment system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810181823.7A CN108416019A (en) | 2018-03-06 | 2018-03-06 | Conjunctive word method of adjustment and adjustment system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108416019A true CN108416019A (en) | 2018-08-17 |
Family
ID=63129791
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810181823.7A Withdrawn CN108416019A (en) | 2018-03-06 | 2018-03-06 | Conjunctive word method of adjustment and adjustment system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108416019A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119428A (en) * | 2019-04-19 | 2019-08-13 | 腾讯科技（深圳）有限公司 | A kind of block chain information management method, device, equipment and storage medium |
| CN112836016A (en) * | 2021-02-05 | 2021-05-25 | 北京字跳网络技术有限公司 | Conference summary generation method, device, equipment and storage medium |
| CN114238588A (en) * | 2022-02-24 | 2022-03-25 | 江西医之健科技有限公司 | Data retrieval method, system, readable storage medium and computer equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101359330A (en) * | 2008-05-04 | 2009-02-04 | 索意互动（北京）信息技术有限公司 | Content extending method and system |
| CN102646096A (en) * | 2011-02-18 | 2012-08-22 | 鸿富锦精密工业（深圳）有限公司 | Linked word searching system and method |
| CN104123279A (en) * | 2013-04-24 | 2014-10-29 | 腾讯科技（深圳）有限公司 | Clustering method for keywords and device |
| CN105069102A (en) * | 2015-08-03 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Information push method and apparatus |
| CN105653533A (en) * | 2014-11-13 | 2016-06-08 | 腾讯数码（深圳）有限公司 | Method and device for updating classified associated word set |
| JP2017072963A (en) * | 2015-10-07 | 2017-04-13 | Ｎｅｃソリューションイノベータ株式会社 | Information analysis device and information analysis method |
-
2018
- 2018-03-06 CN CN201810181823.7A patent/CN108416019A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101359330A (en) * | 2008-05-04 | 2009-02-04 | 索意互动（北京）信息技术有限公司 | Content extending method and system |
| CN102646096A (en) * | 2011-02-18 | 2012-08-22 | 鸿富锦精密工业（深圳）有限公司 | Linked word searching system and method |
| CN104123279A (en) * | 2013-04-24 | 2014-10-29 | 腾讯科技（深圳）有限公司 | Clustering method for keywords and device |
| CN105653533A (en) * | 2014-11-13 | 2016-06-08 | 腾讯数码（深圳）有限公司 | Method and device for updating classified associated word set |
| CN105069102A (en) * | 2015-08-03 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Information push method and apparatus |
| JP2017072963A (en) * | 2015-10-07 | 2017-04-13 | Ｎｅｃソリューションイノベータ株式会社 | Information analysis device and information analysis method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119428A (en) * | 2019-04-19 | 2019-08-13 | 腾讯科技（深圳）有限公司 | A kind of block chain information management method, device, equipment and storage medium |
| CN112836016A (en) * | 2021-02-05 | 2021-05-25 | 北京字跳网络技术有限公司 | Conference summary generation method, device, equipment and storage medium |
| CN114238588A (en) * | 2022-02-24 | 2022-03-25 | 江西医之健科技有限公司 | Data retrieval method, system, readable storage medium and computer equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2387005C2 (en) | Method and system for ranking objects based on intra-type and inter-type relationships | |
| JP4837040B2 (en) | Ranking blog documents | |
| US8380697B2 (en) | Search and retrieval methods and systems of short messages utilizing messaging context and keyword frequency | |
| US8543380B2 (en) | Determining a document specificity | |
| Wang et al. | Exploring online social activities for adaptive search personalization | |
| US8332426B2 (en) | Indentifying referring expressions for concepts | |
| US20080005101A1 (en) | Method and apparatus for determining the significance and relevance of a web page, or a portion thereof | |
| KR20140091530A (en) | Relevance of name and other search queries with social network features | |
| US20110307432A1 (en) | Relevance for name segment searches | |
| Kirsch et al. | Beyond the web: Retrieval in social information spaces | |
| CN108416019A (en) | Conjunctive word method of adjustment and adjustment system | |
| Kaya | International Journal of Intelligent Systems and Applications in Engineering | |
| CN105159898A (en) | Searching method and searching device | |
| US20130325852A1 (en) | Searching based on an identifier of a searcher | |
| US6845484B1 (en) | Technique and method which dynamically generates various depth levels of abstracts for text based data sources on demand | |
| Fan et al. | An integrated two-stage model for intelligent information routing | |
| CN108399253A (en) | Conjunctive word method of adjustment and adjustment system | |
| Abramowicz et al. | Supporting topic map creation using data mining techniques | |
| Sethi | Embedding a Microblog Context in Ephemeral Queries for Document Retrieval | |
| Li et al. | A service mode of expert finding in social network | |
| Samarawickrama et al. | Search result personalization in Twitter using neural word embeddings | |
| CN108399254A (en) | Conjunctive word method of adjustment and adjustment system | |
| Kulkarni et al. | Information retrieval based improvising search using automatic query expansion | |
| CN107423298B (en) | Searching method and device | |
| Borhani-Fard et al. | Applying clustering approach in blog recommendation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180817 |