CN110110207A - A kind of information recommendation method, device and electronic equipment - Google Patents
A kind of information recommendation method, device and electronic equipment Download PDFInfo
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Abstract
The invention discloses information recommendation method, device and electronic equipments.The information recommendation method includes: the interest set of words for obtaining user；Target word to be recommended is obtained, and associated with the target word with reference to set of words；Set of words is referred to based on described, judges whether the target word matches with the interest set of words；If the target word is matched with the interest set of words, the target word is recommended into the user.In the above-mentioned technical solutions, judge whether target word matches with the interest set of words of user with reference to set of words by associated with target word to be recommended, to to recommend target word to user, it solves and the lower technical problem of accuracy rate caused by information recommendation is carried out based on word to be recommended itself in the prior art, and then improve the accuracy rate of information recommendation.
Description
Technical field
The present invention relates to information technology field, in particular to a kind of information recommendation method, device and electronic equipment.
Background technique
With the continuous development of information technology and network technology, all can generate a large amount of information such as daily: hot word, neologisms,
Buzzword etc..For the ease of user's timely learning or fast information inputting, certain keywords are often recommended into user,
The hot word generated daily is such as recommended into user.
In the prior art, information recommendation is usually to be combined to recommend with user according to word to be recommended itself.With
The development of the network information, many times word to be recommended not only includes the meaning of itself, it is also possible to be contained comprising other extensions
Justice.Word to be recommended itself is based only on to carry out information recommendation, expires there is no consideration and extends meaning, lead to the standard of information recommendation
True rate is lower.
Summary of the invention
The embodiment of the present invention provides a kind of information recommendation method, device and electronic equipment, for solving base in the prior art
The lower technical problem of accuracy rate caused by information recommendation is carried out in word to be recommended itself, improves the accuracy rate of information recommendation.
The embodiment of the present invention provides a kind of information recommendation method, this method comprises:
Based on the used object content of user, the interest set of words of user is obtained；
Target word to be recommended is obtained, and associated with the target word with reference to set of words；
Set of words is referred to based on described, judges whether the target word matches with the interest set of words；
If the target word is matched with the interest set of words, the target word is recommended into the user.
Optionally, set of words is referred to based on described, judges whether the target word matches with the interest set of words, wrapped
It includes:
Obtain the interest set of words and the similarity with reference between set of words；
Judge whether the similarity is more than or equal to similar threshold value；
If the similarity is more than or equal to the similar threshold value, determine that the target word is matched with the interest set of words,
Conversely, determining that the target word and the interest set of words mismatch.
Optionally, the interest set of words and the similarity with reference between set of words are obtained, comprising:
Obtain the interest set of words and the number K with reference to word identical and similar in set of words and described
The word sum M of interest set of words；
Using the ratio of K and M as the interest set of words and the similarity with reference to set of words.
Optionally, the interest set of words and the similarity with reference between set of words are obtained, comprising:
According to term vector database, primary vector is established for the interest set of words, establishes the with reference to set of words to be described
Two vectors；
The distance between the primary vector and the secondary vector are obtained as the interest set of words and the reference
Similarity between set of words.
Optionally, the method for building up with reference to set of words includes:
It obtains and the target word sincere word occurred jointly and its number occurred jointly；
The sincere word is ranked up according to the descending sequence of the number, obtain sort it is forward N number of sincere
Word；
It is established according to N number of sincere word described with reference to set of words.
Optionally, it is based on the used object content of user, obtains the interest set of words of user, comprising:
Obtain the used object content of user in preset period of time；
The object content is segmented, the sincere word in the object content is obtained；
The interest set of words is established based on the sincere word in the object content.
Optionally, the object content includes: input content, browsing content and/or Content of Communication.
Optionally, the target word is recommended into the user, comprising: recommend the target word as the first candidate item
To user.
Optionally, the method also includes: if the target word and the interest set of words mismatch, forbid the mesh
Mark word recommends the user, alternatively, recommending the user for the target word as last bit candidate item.
The embodiment of the present invention also provides a kind of information recommending apparatus, comprising:
Acquiring unit obtains the interest set of words of user for being based on the used object content of user；It obtains to be recommended
Target word, and it is associated with the target word refer to set of words；
Judging unit, for referring to set of words based on described, judge the target word and the interest set of words whether
Match；
Recommendation unit is recommended the target word described if matching for the target word with the interest set of words
User.
Optionally, the judging unit is used for:
Obtain the interest set of words and the similarity with reference between set of words；
Judge whether the similarity is more than or equal to similar threshold value；
If the similarity is more than or equal to the similar threshold value, determine that the target word is matched with the interest set of words,
Conversely, determining that the target word and the interest set of words mismatch.
Optionally, the judging unit is also used to: obtain the interest set of words with it is described with reference to identical in set of words and
The word sum M of the number K of similar word and the interest set of words；Using the ratio of K and M as the interest word set
It closes and the similarity with reference to set of words.
Optionally, the judging unit is also used to: according to term vector database, for the interest set of words establish first to
Amount establishes secondary vector with reference to set of words to be described；Obtain the conduct of the distance between the primary vector and the secondary vector
The interest set of words and the similarity with reference between set of words.
Optionally, described device further include:
Unit is established, for obtaining the sincere word occurred jointly with the target word and its number that occurs jointly；According to
The descending sequence of the number is ranked up the sincere word, obtains the forward N number of sincere word that sorts；According to the N
A sincere word is established described with reference to set of words.
Optionally, the acquiring unit is also used to: obtaining the used object content of user in preset period of time；
The object content is segmented, the sincere word in the object content is obtained；Based on the sincere word in the object content
Establish the interest set of words.
Optionally, the object content includes: input content, browsing content and/or Content of Communication.
Optionally, the recommendation unit is also used to: recommending user for the target word as the first candidate item.
Optionally, the recommendation unit is also used to: if the target word and the interest set of words mismatch, being forbidden institute
It states target word and recommends the user, alternatively, recommending the user for the target word as last bit candidate item.
The embodiment of the present invention also provides a kind of electronic equipment, includes memory and one or more than one journey
Sequence, perhaps more than one program is stored in memory and is configured to by one or more than one processor for one of them
Executing the one or more programs includes the instruction for performing the following operation:
Based on the used object content of user, the interest set of words of user is obtained；
Target word to be recommended is obtained, and associated with the target word with reference to set of words；
Set of words is referred to based on described, judges whether the target word matches with the interest set of words；
If the target word is matched with the interest set of words, the target word is recommended into the user.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, the program
It is performed the steps of when being executed by processor
Based on the used object content of user, the interest set of words of user is obtained；
Target word to be recommended is obtained, and associated with the target word with reference to set of words；
Set of words is referred to based on described, judges whether the target word matches with the interest set of words；
If the target word is matched with the interest set of words, the target word is recommended into the user.
Said one or multiple technical solutions in the embodiment of the present application, at least have the following technical effect that
The embodiment of the present application provides a kind of information recommendation method, and the used object content based on user obtains user's
Interest set of words, and obtain target word to be recommended, is associated with target word with reference to set of words；Based on referring to set of words,
Judge whether target word matches with interest set of words；If target word is matched with interest set of words, target word is recommended into user.
That is, by the meaning for enriching, improving target word with reference to set of words associated with target word to be recommended, and it is based on reference word
Set is to judge whether target word matches with the interest set of words of user, so that subject to the matching more of target word and user interest point
Really, it and then solves and carries out the lower technology of accuracy rate caused by information recommendation based on word to be recommended itself in the prior art and ask
Topic, improves the accuracy rate of information recommendation.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of information recommendation method provided by the embodiments of the present application；
Fig. 2 is a kind of block diagram of information recommending apparatus provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application.
Specific embodiment
In technical solution provided by the embodiments of the present application, set of words is referred to by associated with target word to be recommended
Carry out selection target word to be recommended, the matched accuracy of target word and user interest is improved, to solve in the prior art
The lower technical problem of information recommendation accuracy, and then improve the accuracy rate of information recommendation.
With reference to the accompanying drawing to main realization principle, specific embodiment and its correspondence of the embodiment of the present application technical solution
The beneficial effect that can reach is explained in detail.
Embodiment
Referring to FIG. 1, the embodiment of the present application provides a kind of method of information recommendation, candidate item in input method can be applied to
Recommendation, in browser in the personalized recommendations such as the recommendation of search key, sequence of recommendation information.The information recommendation method,
Include:
S110: it is based on the used object content of user, obtains the interest set of words of user；
S120: target word to be recommended is obtained, and associated with the target word with reference to set of words；
S130: set of words is referred to based on described, judges whether the target word matches with the interest set of words；
S140: if the target word is matched with the interest set of words, the target word is recommended into the user.
In specific implementation process, when S110 obtains the interest set of words of user, it can be obtained from electronic equipment or server end
Take acquisition interest set of words in the customer data base pre-established.Wherein, which can be used based on user
The object content for including in object content, that is, historical record obtains.Specifically, interest set of words can use following either type
To construct: multiple interest words of user preset are obtained to establish the interest set of words of user, for example, obtaining the " basket of user preset
Ball ", " amusement Eight Diagrams ", " unmanned " etc. establish interest set of words as interest word；Obtain the used multiple participles of user
The interest set of words of user is established, for example, obtaining " Si Mayi ", " three states ", " history " that user is commonly used etc. as emerging
Interesting word establishes interest set of words；Existing multiple interest words are obtained from other application program such as input method to establish the emerging of user
Interesting set of words.
Wherein, the used multiple participles of user are obtained to establish the interest set of words of user, when first can obtain default
Between the used object content of user in the period.The object content may include user's corresponding input in preset period of time
Content, browsing content and/or Content of Communication can be obtained from the application programs such as input method, browser, instant communication software respectively
?.Preset period of time can be 1 day, 1 week, 10 days etc., and the embodiment of the present application is not intended to limit the duration of preset period of time.?
Obtain object content after, object content is segmented, obtain object content in sincere word (i.e. meaningful word, including
Predicate verb, noun etc.), such as input content " room rate of Xiong Anxinqu, which exists, significantly to be fluctuated ", acquisition can be segmented
Participle: Xiong Anxinqu// room rate/exist/significantly// fluctuation and therefrom obtains sincere word: Xiong Anxinqu/room rate/wave
It is dynamic.Then, interest set of words is established based on the sincere word in object content, i.e., is established using the sincere word of acquisition as interest word emerging
Interesting set of words.Certainly, when establishing interest set of words based on the sincere word in object content, first sincere word can be screened,
Such as duplicate removal, the weight for obtaining the sincere word of high frequency, each sincere word being set according to frequency of use, using the sincere word after screening as
Interest word establishes interest set of words.By establishing user interest set of words according to the used participle of user, avoid emerging
The problems such as interest caused by interest is sorted out expands, point of interest is omitted, more can accurately, comprehensively reflect the specific interest of user, accordingly
Carrying out information recommendation can be improved the accuracy rate of information recommendation.
Before executing S110, later or simultaneously, execute S120 and obtain target word to be recommended and associated with it
Reference set of words.Target word to be recommended can be hot word, neologisms, push word of platform offer of network statistics acquisition etc.
Deng.Reference word associated with target word can be the near synonym of target word, the word occurred jointly with target word, to target word into
The result keyword etc. that row search obtains.With reference to the foundation of set of words, can first obtain the sincere word occurred jointly with target word and
Its number occurred jointly further includes " new district " in the source text of extraction " hero peace ", " protects for example, it is assumed that target word is " hero peace "
It is fixed ", " planning ", " construction ", the sincere word such as " room rate ", i.e., the words such as " new district ", " Baoding ", " planning ", " construction ", " room rate " and
" hero peace " is common to be occurred, then obtaining these sincere words occurred jointly and its number occurred jointly.According to what is occurred jointly
The descending sequence of number is ranked up each sincere word, obtains the forward N number of sincere word that sorts；According to the preceding N of acquisition
A sincere word, which is established, refers to set of words, that is, the sincere word of the top n that will acquire is established as reference word and refers to set of words, certain target
Word is also with reference to a reference word in set of words.Such as: assuming that " new district ", " Baoding ", " planning ", " construction ", in " room rate "
The number that each sincere word occurs jointly with " hero is pacified " is respectively as follows: 110,80,90,60,110, if N is 3, then obtaining number row
First 3 " new district ", " room rate " and " planning " refers to set of words for establishing as the reference word of " hero peace ".
After the interest set of words, target word and reference set of words associated with target word for obtaining user, execute
S130 is based on judging whether target word matches with interest set of words with reference to set of words.Specifically, can be by obtaining interest word set
It closes and with reference to the similarity between set of words；Judge whether its similarity is more than or equal to similar threshold value；If interest set of words and ginseng
The similarity examined between set of words is more than or equal to similar threshold value, determines that target word is matched with interest set of words, conversely, determining target
Word and interest set of words mismatch.Wherein, the similarity between interest set of words and reference set of words can be using following any
Mode obtains:
Mode one obtains interest set of words and the number K and interest word with reference to identical and similar word in set of words
The word sum M of set.Whether close can pass through the editing distance or vector between two words between two words
Distance judges, if editing distance or vector distance thinks similar if within a preset range, otherwise thinks dissimilar.It is obtaining
After obtaining K and M, using the ratio of K and M as interest set of words and the similarity with reference to set of words.Such as: assuming that interest word
Gathering with the number with reference to identical and similar word in set of words is 8, and the word sum in interest set of words is 10, then will
8/10 as the interest set of words and with reference to the similarity between set of words.
Mode two, according to term vector database, primary vector is established for interest set of words, to establish second with reference to set of words
Vector.Wherein, a n1 dimensional vector is constructed for each word in advance in term vector database.If in interest set of words including m1
A interest word establishes the primary vector of n1 × m1 dimension according to term vector database then for interest set of words.Correspondingly, if ginseng
It examines in set of words comprising m2 reference word, then being establish m2 × n1 dimension with reference to set of words the according to term vector database
Two vectors.Then, the distance between primary vector and secondary vector are obtained as interest set of words and with reference between set of words
Similarity.The distance between vector can use Pearson correlation coefficient, Euclidean distance, cosine similarity, Tanimoto
Coefficient calculates, and is document data for primary vector in this manual and secondary vector, can be used cosine similarity or
Tanimoto coefficient is calculated apart from more accurate.
After obtaining the similarity between interest set of words and reference set of words based on any of the above-described mode, further judgement should
Whether similarity is more than or equal to similar threshold value, wherein similar threshold value can be arranged according to matching accuracy requirement, can such as set
It is set to 0.8,0.85,0.9 equivalence, the application is not intended to limit the specific value of similar threshold value.If interest set of words with refer to word set
Similarity between conjunction is more than or equal to similar threshold value, then judges that target word is matched with the interest set of words of user, i.e. target word
For the interested word of user, conversely, then mismatching.
In the case where S130 judges the matched situation of interest set of words of target word and user, executes S140 and push away the target word
It recommends to user.In the matched situation of interest set of words of target word and user, showing that user is interested to the target word can
Energy property is larger, can recommend user for the target word as the first candidate item when recommending to user, allow users to first
The target word is arrived soon, in order to select to use, improves the validity of recommendation.Conversely, if judging, target word and user's is emerging
Interesting set of words mismatches, and can forbid the target word recommending user, alternatively, recommending target word as last bit candidate item
User avoids the target word from adversely affecting other recommendation words or user's word, promotes user experience.
Below by taking candidates of input method is recommended as an example, information recommendation method provided in this embodiment is illustrated:
Assuming that user has browsed the largely news about house-purchase investment at certain day.The news that electronic equipment is browsed from user
It is middle to extract in the current interest set of words of the interest word write-in user such as sincere word " planning ", " new district ", " room rate ".It is called in user
When input method, electronic equipment operation input method simultaneously obtains target word to be recommended, it is assumed that obtains target word to be recommended are as follows: network
Hot word " hero peace " and " clean energy resource " include " planning ", " new district ", " room rate ", " construction " in the reference word set of words of " hero peace "
Equal reference words, and in the reference set of words of " clean energy resource " include the reference words such as " subsidy ", " efficient ", " popularization ", based on reference
Set of words judges that " hero peace " is matched with the interest set of words of user, and the interest set of words of " clean energy resource " and user are not
Match.When showing the recommended candidate item in input interface, " hero peace " is shown in the first place of candidate item, the system that input method provides
Word and/or user's word are shown in the centre of candidate item, " clean energy resource " is shown in behind system word.By by word to be recommended
Language is matched with the interest set of words of user, the interested target word of user is come forward position, less by user
Interested target word comes rearward position, avoids and word to be recommended is all come to earlier position, there are a part
Word is not that user wants, and is interfered to user, while also avoiding all to come word to be recommended and comparing rearward position
The problem of causing the effect of information recommendation reduces.
A kind of information recommendation method is provided for above-described embodiment, the embodiment of the present application also correspondence provides a kind of information recommendation
Device, referring to FIG. 2, the device includes:
Acquiring unit 21 obtains the interest set of words of user for being based on the used object content of user；It obtains wait push away
The target word recommended, and it is associated with the target word with reference to set of words；
Judging unit 22 judges whether are the target word and the interest set of words for referring to set of words based on described
Matching；
The target word is recommended institute if matching for the target word with the interest set of words by recommendation unit 23
State user.
As an alternative embodiment, the judging unit 22 judge between target word and interest set of words whether
When matching, the interest set of words and the similarity with reference between set of words can be obtained；Whether judge the similarity
More than or equal to similar threshold value；If the similarity is more than or equal to the similar threshold value, the target word and the interest word are determined
Sets match, conversely, determining that the target word and the interest set of words mismatch.
Specifically, the judging unit 22 can obtain the similarity between set of words: mode by following either type
One, the interest set of words and the number K and the interest word with reference to word identical and similar in set of words are obtained
The word sum M of set；Using the ratio of K and M as the interest set of words and the similarity with reference to set of words.Mode
Two, according to term vector database, establish primary vector for the interest set of words, for it is described with reference to set of words establish second to
Amount；The distance between the primary vector and the secondary vector are obtained as the interest set of words and refers to set of words with described
Between similarity.
As an alternative embodiment, described device further include: unit 24 is established, for obtaining and the target word
The sincere word occurred jointly and its number occurred jointly；The sincere word is carried out according to the descending sequence of the number
Sequence obtains the forward N number of sincere word that sorts；It is established according to N number of sincere word described with reference to set of words.
As an alternative embodiment, the acquiring unit 21 is also used to: obtaining the use in preset period of time
The used object content in family；The object content is segmented, the sincere word in the object content is obtained；Based on described
Sincere word in object content establishes the interest set of words.Wherein, the object content includes: input content, browsing content
And/or Content of Communication.
As an alternative embodiment, the recommendation unit 23 is when recommending user for target word, it can be by institute
Target word is stated as the first candidate item and recommends user.Certainly, the recommendation unit 23 can be also used for: the target word with
In the unmatched situation of interest set of words, forbid the target word recommending the user, alternatively, by the target word
The user is recommended as last bit candidate item.
About the device in above-described embodiment, wherein each unit executes the concrete mode of operation in related this method
Embodiment in be described in detail, no detailed explanation will be given here.
Fig. 3 is a kind of electronic equipment 800 for realizing information recommendation method shown according to an exemplary embodiment
Block diagram.For example, electronic equipment 800 can be mobile phone, computer, digital broadcasting terminal, messaging device, game control
Platform, tablet device, Medical Devices, body-building equipment, personal digital assistant etc..
Referring to Fig. 3, electronic equipment 800 may include following one or more components: processing component 802, memory 804,
Power supply module 806, multimedia component 808, audio component 810 input/show the interface 812 of (I/O), sensor module 814,
And communication component 816.
The integrated operation of the usual controlling electronic devices 800 of processing component 802, such as with display, call, data are logical
Letter, camera operation and record operate associated operation.Processing element 802 may include one or more processors 820 to hold
Row instruction, to perform all or part of the steps of the methods described above.In addition, processing component 802 may include one or more moulds
Block, convenient for the interaction between processing component 802 and other assemblies.For example, processing component 802 may include multi-media module, with
Facilitate the interaction between multimedia component 808 and processing component 802.
Memory 804 is configured as storing various types of data to support the operation in equipment 800.These data are shown
Example includes the instruction of any application or method for operating on electronic equipment 800, contact data, telephone directory number
According to, message, picture, video etc..Memory 804 can by any kind of volatibility or non-volatile memory device or they
Combination realize, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable
Programmable read only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, quick flashing
Memory, disk or CD.
Power supply module 806 provides electric power for the various assemblies of electronic equipment 800.Power supply module 806 may include power supply pipe
Reason system, one or more power supplys and other with for electronic equipment 800 generate, manage, and distribute the associated component of electric power.
Multimedia component 808 includes the screen that offer one between the electronic equipment 800 and user shows interface.
In some embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch surface
Plate, screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touches
Sensor is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding
The boundary of movement, but also detect duration and pressure associated with the touch or slide operation.In some embodiments,
Multimedia component 808 includes a front camera and/or rear camera.When equipment 800 is in operation mode, as shot mould
When formula or video mode, front camera and/or rear camera can receive external multi-medium data.Each preposition camera shooting
Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 810 is configured as showing and/or input audio signal.For example, audio component 810 includes a Mike
Wind (MIC), when electronic equipment 800 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone
It is configured as receiving external audio signal.The received audio signal can be further stored in memory 804 or via logical
Believe that component 816 is sent.In some embodiments, audio component 810 further includes a loudspeaker, for showing audio signal.
I/O interface 812 provides interface between processing component 802 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and lock
Determine button.
Sensor module 814 includes one or more sensors, for providing the state of various aspects for electronic equipment 800
Assessment.For example, sensor module 814 can detecte the state that opens/closes of equipment 800, the relative positioning of component, such as institute
The display and keypad that component is electronic equipment 800 are stated, sensor module 814 can also detect electronic equipment 800 or electronics
The position change of 800 1 components of equipment, the existence or non-existence that user contacts with electronic equipment 800,800 orientation of electronic equipment
Or the temperature change of acceleration/deceleration and electronic equipment 800.Sensor module 814 may include proximity sensor, be configured to
It detects the presence of nearby objects without any physical contact.Sensor module 814 can also include optical sensor, such as
CMOS or ccd image sensor, for being used in imaging applications.In some embodiments, which can be with
Including acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 816 is configured to facilitate the communication of wired or wireless way between electronic equipment 800 and other equipment.
Electronic equipment 800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or their combination.Show at one
In example property embodiment, communication component 816 receives broadcast singal or broadcast from external broadcasting management system via broadcast channel
Relevant information.In one exemplary embodiment, the communication component 816 further includes near-field communication (NFC) module, short to promote
Cheng Tongxin.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module
(UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, electronic equipment 800 can be by one or more application specific integrated circuit (ASIC), number
Word signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided
It such as include the memory 804 of instruction, above-metioned instruction can be executed by the processor 820 of electronic equipment 800 to complete the above method.Example
Such as, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, soft
Disk and optical data storage devices etc..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the processing of mobile terminal
When device executes, so that mobile terminal is able to carry out a kind of information recommendation method, which comprises be based on the used mesh of user
Content is marked, the interest set of words of user is obtained；Obtain target word to be recommended, and reference word associated with the target word
Set；Set of words is referred to based on described, judges whether the target word matches with the interest set of words；If the target word with
The interest set of words matching, recommends the user for the target word.
Fig. 3 is the structural schematic diagram of server in the embodiment of the present invention.The server 1900 can be different because of configuration or performance
And generate bigger difference, may include one or more central processing units (central processing units,
CPU) 1922 (for example, one or more processors) and memory 1932, one or more storage application programs
1942 or data 1944 storage medium 1930 (such as one or more mass memory units).Wherein, memory 1932
It can be of short duration storage or persistent storage with storage medium 1930.Be stored in storage medium 1930 program may include one or
More than one module (diagram does not mark), each module may include to the series of instructions operation in server.Further
Ground, central processing unit 1922 can be set to communicate with storage medium 1930, and storage medium 1930 is executed on server 1900
In series of instructions operation.
Server 1900 can also include one or more power supplys 1926, one or more wired or wireless nets
Network interface 1950, one or more inputs show interface 1958, one or more keyboards 1956, and/or, one or
More than one operating system 1941, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM
Etc..
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of information recommendation method, which is characterized in that the described method includes:
Based on the used object content of user, the interest set of words of user is obtained；
Target word to be recommended is obtained, and associated with the target word with reference to set of words；
Set of words is referred to based on described, judges whether the target word matches with the interest set of words；
If the target word is matched with the interest set of words, the target word is recommended into the user.
2. the method as described in claim 1, which is characterized in that refer to set of words based on described, judge the target word and institute
State whether interest set of words matches, comprising:
Obtain the interest set of words and the similarity with reference between set of words；
Judge whether the similarity is more than or equal to similar threshold value；
If the similarity is more than or equal to the similar threshold value, determine that the target word is matched with the interest set of words, conversely,
Determine that the target word and the interest set of words mismatch.
3. method according to claim 2, which is characterized in that obtain the interest set of words and described with reference between set of words
Similarity, comprising:
Obtain the interest set of words and the number K with reference to word identical and similar in set of words and the interest
The word sum M of set of words；
Using the ratio of K and M as the interest set of words and the similarity with reference to set of words.
4. method according to claim 2, which is characterized in that obtain the interest set of words and described with reference between set of words
Similarity, comprising:
According to term vector database, establish primary vector for the interest set of words, for it is described with reference to set of words establish second to
Amount；
The distance between the primary vector and the secondary vector are obtained as the interest set of words and refers to word set with described
Similarity between conjunction.
5. the method as described in claim 1, which is characterized in that the method for building up with reference to set of words includes:
It obtains and the target word sincere word occurred jointly and its number occurred jointly；
The sincere word is ranked up according to the descending sequence of the number, obtains the forward N number of sincere word that sorts；
It is established according to N number of sincere word described with reference to set of words.
6. the method as described in claim 1, which is characterized in that be based on the used object content of user, obtain the emerging of user
Interesting set of words, comprising:
Obtain the used object content of user in preset period of time；
The object content is segmented, the sincere word in the object content is obtained；
The interest set of words is established based on the sincere word in the object content.
7. method as claimed in claim 6, which is characterized in that the object content include: input content, browsing content and/
Or Content of Communication.
8. a kind of information recommending apparatus characterized by comprising
Acquiring unit obtains the interest set of words of user for being based on the used object content of user；Obtain mesh to be recommended
Word is marked, and associated with the target word with reference to set of words；
Judging unit judges whether the target word matches with the interest set of words for referring to set of words based on described；
The target word is recommended the user if matching for the target word with the interest set of words by recommendation unit.
9. a kind of electronic equipment, which is characterized in that include memory and one or more than one program, wherein one
A perhaps more than one program is stored in memory and is configured to execute described one by one or more than one processor
A or more than one program includes the instruction for performing the following operation:
Based on the used object content of user, the interest set of words of user is obtained；
Target word to be recommended is obtained, and associated with the target word with reference to set of words；
Set of words is referred to based on described, judges whether the target word matches with the interest set of words；
If the target word is matched with the interest set of words, the target word is recommended into the user.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
It is performed the steps of when execution
Based on the used object content of user, the interest set of words of user is obtained；
Target word to be recommended is obtained, and associated with the target word with reference to set of words；
Set of words is referred to based on described, judges whether the target word matches with the interest set of words；
If the target word is matched with the interest set of words, the target word is recommended into the user.
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