CN113626682A - Information recommendation method and system based on temporary identity and terminal equipment - Google Patents
Information recommendation method and system based on temporary identity and terminal equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a system and a terminal device for information recommendation based on temporary identity, wherein the method comprises the following steps: acquiring user data, monitoring the change state of the user data, and judging whether the current identity of the user is a temporary identity according to the change state of the user data; when the user identity is a temporary identity, extracting at least one merchant portrait associated with the temporary identity from a database, comparing the temporary identity with the merchant portrait, and screening merchant/commodity recommendation parameters and associated merchants/commodities in the merchant portrait, wherein the merchant/commodity recommendation parameters and the merchant/commodities are associated with the temporary identity; filtering or sorting the merchants/commodities according to the recommendation parameters; and recommending the filtered or sequenced merchants/commodities to a user. Compared with the prior art, the information recommendation method and the information recommendation system have the advantages that the information recommendation is performed on the users with different identities in a targeted manner, the accuracy and the recommendation efficiency of the information recommendation are improved, and the recommendation information which meets actual requirements is provided for the users.
Description
Technical Field
The embodiment of the invention relates to an information recommendation technology, in particular to an information recommendation method, system and terminal device based on temporary identity.
Background
With the development of the internet and the increase of user demands, information recommendation is a relatively common and mature technology, especially information recommendation based on big data.
In the prior art, a general method for information recommendation is to collect user data as much as possible, such as browsing and consumption records of a user, then summarize the user data with data of other users to form big data, and then recommend information for each user based on the big data. For example, applications such as Taobao, Mei Tuo, popular comment, etc. may record data of a large number of users browsing goods, purchasing goods, or collecting goods/merchants on a daily basis, and when a user logs in these applications, these applications may recommend to the user goods/merchant information that may be of interest to the user based on the collected big data and the user history data. Therefore, the current scheme is to recommend information based on data of most users or main data of the users.
However, in real life, users may play different identities under different situations, for example, a user may have a main identity in daily working life, when traveling to another place, the user is switched from the main identity to a temporary identity for traveling, and the need for acquiring recommended information as the main identity and the need for acquiring recommended information as the temporary identity are necessarily different, for example, for a user a who is resident in shanghai, when selecting a restaurant, the user B who travels from beijing to shanghai may want to recommend a number of popular online red restaurants, while for a user B who travels from beijing to shanghai, the online red restaurants are also relatively common in beijing, the user B actually wants the system to recommend traditional Chinese dishes that are relatively famous in shanghai, and current application programs, such as mei group, popular comment, etc., the online red restaurants are recommended to the user a and the user B based on a large amount of user data, this obviously cannot meet the requirements of the B user, and according to the current recommendation scheme, the better the user data is accumulated, the lower the accuracy of information recommendation for the B user, such as the temporary identity user, is.
The invention is provided in view of the above.
Disclosure of Invention
The embodiment of the invention provides an information recommendation method, an information recommendation system and terminal equipment based on temporary identities, which are used for detecting the temporary identities of users and recommending information based on the temporary identities, so that the requirements of the masses of users with the temporary identities are met, information is recommended specifically for the users with different identities, the accuracy and the recommendation efficiency of information recommendation are improved, and recommendation information which is more in line with actual requirements is provided for the users.
According to an aspect of the present invention, there is provided a temporary identity-based information recommendation method, including: acquiring user data, monitoring the change state of the user data, and judging whether the current identity of the user is a temporary identity according to the change state of the user data; when the user identity is a temporary identity, extracting at least one merchant portrait associated with the temporary identity from a database, comparing the temporary identity with the merchant portrait, and screening merchant/commodity recommendation parameters and associated merchants/commodities in the merchant portrait, wherein the merchant/commodity recommendation parameters and the merchant/commodities are associated with the temporary identity; filtering or sorting the merchants/commodities according to the recommendation parameters; and recommending the filtered or sequenced merchants/commodities to a user.
According to another aspect of the present invention, there is also provided a temporary identity based information recommendation system, including a processing device, a storage device, and a display device, wherein: the processing equipment is suitable for acquiring user data and monitoring the change state of the user data; judging whether the current identity of the user is a temporary identity according to the change state of the user data; when the user identity is a temporary identity, extracting at least one merchant portrait associated with the temporary identity from a storage device, comparing the temporary identity with the merchant portrait, screening merchant/commodity recommendation parameters and associated merchant/commodities in the merchant portrait, and filtering or sorting the merchant/commodities according to the recommendation parameters; a display device adapted to display the filtered or sorted merchants/goods; a storage device adapted to store user data, merchant representations, and correspondence of user temporary identities to merchant/merchandise recommendation parameters and associated merchant/merchandise in the merchant representation.
According to another aspect of the present invention, there is also provided a terminal device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method disclosed in the present invention.
Through various implementation modes of the invention, information recommendation is pertinently carried out on users with different identities, the accuracy and the recommendation efficiency of the information recommendation are improved, and recommendation information which is more in line with actual requirements is provided for the users.
Drawings
Fig. 1 is a block diagram of a temporary identity-based information recommendation system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a user identity provided in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of a merchant image according to an embodiment of the invention;
fig. 4 is a flowchart of a temporary identity-based information recommendation method according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of determining a user identity according to an embodiment of the present invention;
fig. 6 is a flowchart of a method for recommending information based on a type of temporary identity according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of temporary identities provided in accordance with an embodiment of the present invention;
fig. 8 is a schematic flow chart of filtering or sorting the merchants/commodities based on the personalized data according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the accompanying drawings.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In this document, relational terms such as left and right, top and bottom, front and back, first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows a block diagram of an exemplary temporary identity based information recommendation system. According to some embodiments, the information recommendation system may be a mobile terminal, such as a mobile phone, a smart phone, a PDA, or a tablet computer, or may be other electronic devices that can interact with the internet, such as a wearable electronic device, a car navigation device, an electronic interaction terminal disposed in a public place such as a station, a school, a mall, or an ordering device disposed in a restaurant.
The information recommendation system can access the network by broadband, such as ADSL, VDSL, optical fiber, wireless, cable television, satellite and the like, can also access the internet by narrowband, such as telephone dial-up access, GPRS, 2G, 3G and the like, or can also access the telecommunication network by CDMA, 2G, 3G, 4G and the like.
According to some embodiments, the information recommendation system may be configured to obtain user data, monitor a change state of the user data, determine whether a current identity of the user is a temporary identity according to the change state of the user data, extract at least one merchant image associated with the temporary identity from the database when the current identity is the temporary identity, compare the temporary identity with the merchant image, filter merchant/commodity recommendation parameters associated with the temporary identity and associated merchant/commodities in the merchant image, filter or sort the merchant/commodities according to the recommendation parameters, and recommend the filtered or sorted merchant/commodities to the user.
According to the embodiment of the invention, the user data may be system parameters collected by an information recommendation system, such as location information and time information, specifically, the information recommendation system may determine the location information by collecting GPS information, WIFI information, base station information of a mobile network, or location parameters such as AGPS (assisted global positioning system), and the information recommendation system may also determine the time information by collecting the system time parameters. In a certain embodiment, the collected parameters may be further subjected to feature extraction, for example, the collected GPS coordinate parameters are extracted as corresponding regions according to actual requirements, for example, extracted as countries, cities, business circles, streets, or specific communities, and for example, the collected time parameters are extracted as festivals, so that the system can further process the collected parameters according to user data.
According to the embodiment of the present invention, as shown in fig. 2, the identity of the user may include a primary identity and a temporary identity, the primary identity may be an identity that is frequently used or occupies a primary position in the life of the user, for example, when the user performs activities at a frequent place, the current identity of the user may be considered as the primary identity; correspondingly, the temporary identity may be an identity used occasionally in life of the user or an identity that the user switches from a long-term state to another state, for example, when the user leaves a regular residence for travel outdoors, the user switches from the primary identity to the temporary identity, for example, when the current date is a special memorial day set by the user, the user identity is determined to be switched to the temporary identity, and for example, when the user is up-run or switched to a career, the user is determined to be switched from the primary identity to the temporary identity.
According to an embodiment of the present invention, the term "user image" may be a series of labels used to describe a user, and the labels describing the user are formed by actively or passively collecting various data left by the user on the internet, and further analyzing and processing the data. "user representation" is used broadly to include at least one of the user's personal information, such as the user's age, gender, height, weight, nationality, native place, residential site, workplace, work language, idiomatic language, academic calendar, occupation, skills, income status, hobbies, and the like; time information related to the user, such as the user's birthday, wedding anniversary, work hours, or other information related to the user; information related to the user equipment, such as the model of the user equipment, the system language used by the user equipment, or other configuration information of the user equipment; user habits or preferences such as user eating habits, travel habits, sports preferences, travel preferences, and the like.
As shown in FIG. 3, a "merchant representation" may include attribute information of a merchant, such as the type of the merchant (e.g., delight, leisure/entertainment, lodging, attraction/ticket, etc.), business hours of the merchant, location information of the merchant, offer information of the merchant, tag characteristics of the merchant (e.g., local dish, local snack, environmental elegance), and so on. "merchant representation" may also include merchant/merchandise recommendation parameters associated with the user identity, which may include, for example, an amount of sales or popularity for the merchant/merchandise, and associated merchants/merchandise. Taking the sales volume as an example, assuming that the total consumption times of the users corresponding to the merchant A is m + n, wherein the consumption times corresponding to the users with the main identities are m, and the consumption times corresponding to the users with the temporary identities are n; for another example, the total popularity for merchant a is 4 (indicated by four lit stars), wherein the popularity for the user with the primary identity is 3 (indicated by three lit stars), and the number of consumption times for the user with the temporary identity is 5 (indicated by five lit stars).
According to an embodiment of the present invention, the "goods" may be physical products such as food, tickets, coupons, flowers, or books, etc., or virtual products such as electronic coupons, virtual applications, stock information, financial information, etc. The "merchant" may be a merchant who sells physical products, such as restaurants, bookstores, florists, etc., or a merchant who sells or distributes virtual products.
Referring to fig. 1, the information recommendation system may include a processing device 110, a storage device 120, and a display device 130. Wherein the processor may be a central processing unit ("CPU") or a graphics processing unit ("GPU"), the processing device 110 may specifically include one or more printed circuit boards or micro-processing module chips that execute sequences of computer program instructions to perform various methods that will be explained in more detail below. In some embodiments, the processing device 110 may be configured to monitor and obtain user data, determine whether a current identity of the user is a temporary identity according to the user data, extract a merchant image associated with the temporary identity from the storage device 120 when the current identity is the temporary identity, compare the temporary identity with the merchant image, filter merchant/commodity recommendation parameters and associated merchant/commodities in the merchant image that are associated with the temporary identity, filter or sort the merchant/commodities based on the recommendation parameters, and then present the filtered or sorted merchant/commodities through the display device 130.
The storage device 120 may include one or more of random access memory ("RAM") and read only memory ("ROM"). The computer program instructions may be accessed and read from ROM or any other suitable memory location and loaded into RAM for execution by processing device 110. For example, storage device 120 may store one or more software applications. The software applications stored in the storage device 120 may include operating systems for general computer systems as well as for software-controlled devices. Furthermore, the storage device 120 may store the entire software application or only a portion of the software application that is executable by the processing device 110. For example, the storage device 120 may store information recommendation software executable by the processing device 110 and execute an information recommendation method.
According to an embodiment of the invention, storage device 120 may include a database adapted to store user data, user representations, merchant representations, user identities and merchant/merchandise recommendation parameters in merchant representations and associated merchant/merchandise correspondences, and may also store chat information and operational information of the user, and the like. Further, the database may be a local database, may also be a cloud database, and may also be partially located locally, and partially located in the cloud.
With continued reference to fig. 1, the information recommendation system may further include an input device 140, where the input device 140 may be a mouse, a keyboard, a touch pad, a touch screen, and is adapted to obtain information input by the user and operation information performed by the user through the input device 140, such as clicking, double-clicking, long-pressing, dragging, or other operations. For example, the user may input "restaurant" or "food" through a keyboard, and the user may directly click a menu option "food", "entertainment", "shopping", "sports" or the like displayed in the screen interface through a mouse or a touch screen. In some embodiments, the input device 140 may also include a sensing input device 140, for example, the input device 140 may be a voice input device and a voice parsing device, wherein a user performs a voice input through the voice input device, the voice parsing device detects that there is a voice input of the user, recognizes and parses a voice content input by the user, and a recognition result may be text information corresponding to the input voice. In some embodiments, the input device 140 may also include certain function keys by which a user may initiate certain processes performed by, or otherwise interact with, the information recommendation system.
Further, the processing device 110 may filter the merchant/goods in conjunction with the information obtained by the input device 140. In a certain embodiment, the processing device 110 may filter the merchants/goods according to the temporary identity of the user, then further filter the merchants/goods according to the information acquired by the input device 140, or filter the merchants/goods according to the information acquired by the input device 140, then further filter according to the temporary identity of the user, or filter the merchants/goods by crossing the merchants/goods and the temporary identity of the user.
In some embodiments, the information recommendation system further includes a network interface 150, and the network interface 150 may provide a communication connection such that the information recommendation system may be connected to the cloud 160 through the network interface 150.
Fig. 4 is a flowchart illustrating an information recommendation method based on a temporary identity according to an embodiment of the present invention, where the method specifically includes:
and S1, acquiring the user data, monitoring the change state of the user data, and judging whether the current identity of the user is a temporary identity according to the change state of the user data.
The processing device 110 may collect user data, track a change state of the user data, and determine that the current identity of the user is a temporary identity when the change state of the user data meets a preset condition. The user data may be location information or time information. For example, the processing device 110 may track the location information of the user equipment a in real time, and assume that the location information of the user equipment a is "shanghai" for a long time, and when the location information is changed to "beijing", determine that the current identity of the user is a temporary identity; or, when the position information is changed into 'Beijing', and the position information is kept unchanged within a certain time and is always 'Beijing', judging that the current identity of the user is a temporary identity.
In one embodiment, the processing device 110 may further determine the identity of the user by combining the user representation, specifically, may extract information associated with the user data from the user representation, compare the extracted information with the user data, and determine whether the current identity of the user is a temporary identity according to a comparison result. For example, the processing device 110 acquires that the current location information of the user equipment a is "guangzhou", further extracts the frequent location of the associated information user from the user portrait as "shanghai", and then compares the frequent location information with the frequent location information to determine that the current identity of the user is a temporary identity; for another example, the processing device 110 collects the current time information as year, month and day, compares the current time information with the relevant time information in the user image, finds that the current date is the wedding anniversary of the user, and determines that the current identity of the user is the temporary identity.
According to another embodiment, at least one of the user chat information and the user operation information may be further combined to assist in determining whether the current identity of the user is a temporary identity, referring to fig. 5, where the method specifically includes:
s11, acquiring at least one of user chat information and user operation information;
and S12, judging whether the current identity of the user is a temporary identity according to at least one of the user chat information and the user operation information and the user data.
The chat information of the user can be chat information sent or received by the user through a system or any application program, and the chat information can be text information or voice information. The user operation information may be information related to a trip or schedule of the user, such as a ticket purchase operation of the user, an operation of adding or modifying a schedule by the user, and the like.
The processing device 110 may extract information related to the user data from the chat information or the operation information. Specifically, for the chat information, the processing device 110 may perform information extraction by means of keyword recognition and semantic analysis, where the keyword may be a word associated with time and place, or a preset specific keyword. For example, when a chat message "i'm No. 8 month 30 goes to beijing tourism" sent by the user is detected, the associated keywords "8 month 30", "beijing" and the specific keyword "tourism" can be identified, and after semantic analysis is performed on the associated keywords, "8 month 30", "beijing" and the specific keyword "tourism" are determined to be information related to user data; for the operation information, the processing device 110 may monitor the operation of the user in a specific web page or application program, and extract information related to the user data from the operation information when the operation is a preset operation. For example, when the user successfully reserves an airline ticket in the airline official website, the processing device 110 extracts the travel time, travel location, flight number, and the like of the user in the ticket reservation information.
Further, the obtained chat information and/or operation information related to the user data is compared with the currently obtained user data, and whether the current identity of the user is a temporary identity is judged according to the comparison result. For example, the chat message sent by the user before is "i'm 8 month 30 to travel to beijing", and when the current system acquisition date is No. 8 month 30 and/or the current position of the user is "beijing", the current identity of the user is determined to be a temporary identity. For another example, if the user presets a 9-month-1 airline ticket that flies from shanghai to guangzhou in advance, and the currently acquired system date is 9-month-1 and/or the current location of the user is "guangzhou", it is determined that the current identity of the user is a temporary identity.
S2, when the user identity is a temporary identity, at least one merchant portrait relevant to the temporary identity is extracted from a database, the temporary identity is compared with the merchant portrait, and merchant/commodity recommendation parameters relevant to the temporary identity and relevant merchant/commodities in the merchant portrait are screened.
The merchant representation may be connected to a user representation system, and processing device 110 may determine the identity of each consuming user according to the user representation system, record consumption information and feedback information generated by users of different identities, and store the consumption information and feedback information in the corresponding merchant representation. The user identity may include, for example, a primary identity and a temporary identity; the consumption information of the user can be, for example, the time, goods, amount, etc. consumed by the user in the merchant; the feedback information of the user may be, for example, evaluation information, recommendation coefficient, and the like of the merchant or a certain product after the user consumes.
In one embodiment, processing device 110 may also establish merchant/merchandise recommendation parameters or update original merchant/merchandise recommendation parameters according to at least one of consumption information and feedback information generated by users with different identities, and store the parameters in the corresponding merchant representation. For example, for each user who consumes in restaurant a, the processing device 110 may determine the identity of each user, such as a main identity and a temporary identity, according to the user representation system, record the time, the commodity, the amount of money, the evaluation information or the recommendation index of the restaurant after the user consumes in restaurant a, and perform statistical analysis on the above information according to different identities to form merchant/commodity recommendation parameters corresponding to different identities, such as statistics on the number of consumers corresponding to the main identity and the number of consumers corresponding to the temporary identity; for another example, the popularity of restaurant A to the user with the main identity and the popularity of the user with the temporary identity are analyzed according to the recommendation index, and then the corresponding merchant/commodity recommendation parameters are stored in the merchant portrait corresponding to restaurant A.
According to one embodiment, when the original merchant/commodity recommendation parameters do not exist in the merchant image corresponding to the restaurant A, the generated merchant/commodity recommendation parameters are directly stored into the merchant image as the original merchant/commodity recommendation parameters; according to another embodiment, when the original merchant/merchandise recommendation parameters already exist in the merchant representation corresponding to restaurant A, the original merchant/merchandise recommendation parameters are updated according to the newly generated merchant/merchandise recommendation parameters.
After the user identity is determined to be a temporary identity, the temporary identity can be compared with the associated merchant portrait, at least one merchant and merchant recommendation parameters associated with the temporary identity are extracted, and filtering or sequencing is carried out on the merchants according to the one or more merchant recommendation parameters; when the user determines a certain merchant, at least one commodity and a commodity recommendation parameter associated with the temporary identity may be extracted from the merchant representation corresponding to the merchant, and the commodities may be filtered or sorted according to the one or more commodity recommendation parameters.
According to one embodiment, in order to improve the accuracy of information recommendation and meet accurate recommendation of different crowds, temporary identities can be further classified, different types of the temporary identities are determined according to different classifications, and accordingly merchants/commodities associated with the types of the temporary identities are obtained. Referring to the flowchart of the method shown in fig. 6, the method specifically includes:
s21, further classifying the temporary identities according to the user images, and determining the types of the temporary identities;
s22, extracting at least one merchant image associated with the type of the temporary identity from the database, comparing the temporary identity of the type with the associated merchant image, and screening merchant/commodity recommendation parameters and associated merchants/commodities associated with the type of the temporary identity in the associated merchant image.
Specifically, the temporary identities may be classified according to information on the gender, age, nationality, and residential premises of the user recorded in the user representation, and the type of the temporary identity to which the user belongs may be determined. For example, as shown in fig. 7, for a user of temporary identity who has traveled to shanghai, it may be further classified by gender into "male who has traveled to shanghai" and "female who has traveled to shanghai"; further classified by age into "the elderly traveling to the upper sea", "the middle aged traveling to the upper sea", "the young traveling to the upper sea", and the like; further classified into "Chinese traveling to Shanghai", "American traveling to Shanghai", "European traveling to Shanghai", etc., according to nationality; the usual premises may be further classified as "Beijing people traveling to Shanghai", "Guangzhou people traveling to Shanghai", and so on. In other embodiments, the temporary identities may be classified according to other information recorded in the user representation, such as occupation, skill, hobbies, travel habits, travel preferences, and the like, which are not illustrated here, and it is understood that the scheme of classifying the temporary identities according to any other information in the user representation is also within the protection scope of the present invention.
Accordingly, merchant/merchandise recommendation parameters corresponding to the type of temporary identity may also be stored in the merchant representation. Specifically, the merchant representation may be connected to a user representation system, and processing device 110 may determine whether the identity of the consuming user is a temporary identity according to the user representation system, further determine the type of the temporary identity, and then establish or update the original merchant/commodity recommendation parameter according to at least one of consumption information and feedback information generated by users of different temporary identity types, and store the merchant/commodity recommendation parameter in the corresponding merchant representation. For example, for each user who consumes in restaurant B, the processing device 110 may determine the identity of the user, such as a main identity and a temporary identity, and when the identity is a temporary identity, further determine the type corresponding to the user who has a temporary identity according to the representation of the user, such as "old people who travel to shanghai", "middle aged people who travel to shanghai", "young people who travel to shanghai", record consumption information and feedback information of users of different temporary identity types in restaurant B, and generate a merchant/product recommendation parameter corresponding to each temporary identity type after statistical analysis, such as counting the number of consumers in restaurant B of users of three temporary identity types respectively, or counting the consumption of each product in restaurant B of users of three temporary identity types respectively, for example, for product B1, the number of consumers corresponding to old people who travel to shanghai "is m, the number of consumers corresponding to "middle-aged people who travel to shanghai" is n, and no "young people who travel to shanghai" consumes the commodity B1, so that when the middle-aged and old users who travel to shanghai consume in the restaurant B, the commodity B1 can be preferentially recommended.
And S3, filtering or sorting the merchants/commodities according to the recommendation parameters.
When a plurality of merchant/commodity recommendation parameters are generated, such as sales volume or popularity, the merchant/commodity can be filtered or sorted according to any merchant/commodity recommendation parameter, and the associated merchant/commodity recommendation parameters can also be displayed to the user, and the user selects a certain merchant/commodity recommendation parameter; in another embodiment, a corresponding weight may also be set for each merchant/commodity recommendation parameter, and then a weighting calculation is performed according to the weight information corresponding to each parameter, for example, when the ranking number of a merchant is 1 when ranking according to sales, the weight corresponding to sales is 0.6, when the ranking is according to popularity, the ranking number of the merchant is 3, and the weight corresponding to popularity is 0.4, then the comprehensive ranking number of the merchant is 1 × 0.6+3 × 0.4-1.8 after the weighting calculation, and then the merchants are filtered or ranked according to the comprehensive ranking number of each merchant.
In order to further improve the accuracy of information recommendation and implement personalized recommendation for each user, as shown in the method flowchart of fig. 8, S3 may further include:
s31, extracting personalized data suitable for representing the user characteristics in the user image;
and S32, further filtering or sorting the merchants/commodities according to the personalized data.
The personalized data can be set according to actual requirements, and can be personal information of the user, time information related to the user, habits or preferences of the user and the like, or can be a combination of the above information. Taking the customary language in the personal information of the user as an example, for the user A and the user B who travel in France, the scenic spots recommended to the user A and the user B by the processing device 110 both include bookstores, and according to the user image, the fact that the customary language of the user A includes French and English and the customary language of the user B is English can be known, the bookstores can be filtered from the merchants recommended to the user B, and the bookstores recommended to the user A are reserved, so that personalized recommendation is performed for each user, and the information recommendation efficiency is improved; for another example, if the eating habits of the user include no spicy food, some restaurant can be directly filtered out, or the non-spicy food is preferentially recommended to the user.
And S4, recommending the filtered or sorted merchants/commodities to the user.
The filtered or sorted merchants/goods may be presented to the user via the display device 130 or may be recommended to the user in a voice broadcast.
According to one embodiment of the invention, the information recommendation system can be an APP (application program) installed in the electronic equipment, and the APP can actively recommend corresponding merchant/commodity information to a user and also can recommend the merchant/commodity information based on the active retrieval requirement of the user; the information recommendation system may also be an optimization function in an application, such as an intelligent assistant in an input method, and when the user opens the input method, the user may actively recommend the user according to a change state of user data, or when the user chats, the user may recommend corresponding information for the user according to chat content, or the user may actively interact with the intelligent assistant to obtain corresponding recommended information, such as opening a corresponding interaction page to input the corresponding information, or directly perform a voice conversation with the intelligent interaction assistant.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (15)
1. An information recommendation method based on temporary identity is characterized by comprising the following steps:
acquiring user data, monitoring the change state of the user data, and judging whether the current identity of the user is a temporary identity according to the change state of the user data;
when the user identity is a temporary identity, extracting at least one merchant portrait associated with the temporary identity from a database, comparing the temporary identity with the merchant portrait, and screening merchant/commodity recommendation parameters and associated merchants/commodities in the merchant portrait, wherein the merchant/commodity recommendation parameters and the merchant/commodities are associated with the temporary identity;
filtering or sorting the merchants/commodities according to the recommendation parameters;
and recommending the filtered or sequenced merchants/commodities to a user.
2. The method of claim 1, further comprising:
and comparing the user data with the user image, and judging whether the current identity of the user is a temporary identity according to a comparison result.
3. The method of claim 1, further comprising:
acquiring at least one of user chat information and user operation information;
and judging whether the current identity of the user is a temporary identity or not according to at least one of the user chat information and the user operation information and the user data.
4. The method of claim 1, further comprising:
extracting personalized data which is suitable for representing the characteristics of the user from the user image;
the merchant/goods are further filtered or ranked according to the personalization data.
5. The method of claim 1, further comprising:
acquiring at least one of consumption information and feedback information generated by a user of the temporary identity;
and establishing merchant/commodity recommendation parameters according to at least one of the consumption information and the feedback information or updating the original merchant/commodity recommendation parameters and storing the merchant/commodity recommendation parameters in the corresponding merchant portrait.
6. The method of claim 1, further comprising:
further classifying the temporary identity according to the user image, and determining the type of the temporary identity;
extracting at least one merchant image associated with the type of the temporary identity from a database, comparing the temporary identity of the type with the associated merchant image, and screening merchant/commodity recommendation parameters and associated merchants/commodities associated with the temporary identity of the type in the associated merchant image.
7. The method of claim 1, wherein the user data comprises at least one of location information and time information.
8. The method of claim 1, wherein the recommended parameter comprises at least one of the following information: the amount of sales or popularity for the merchant/good.
9. An information recommendation system based on temporary identity, which is characterized by comprising a processing device, a storage device and a display device, wherein:
the processing equipment is suitable for acquiring user data and monitoring the change state of the user data; judging whether the current identity of the user is a temporary identity according to the change state of the user data; when the user identity is a temporary identity, extracting at least one merchant portrait associated with the temporary identity from a storage device, comparing the temporary identity with the merchant portrait, screening merchant/commodity recommendation parameters and associated merchant/commodities in the merchant portrait, and filtering or sorting the merchant/commodities according to the recommendation parameters;
a display device adapted to display the filtered or sorted merchants/goods;
a storage device adapted to store user data, merchant representations, and correspondence of user temporary identities to merchant/merchandise recommendation parameters and associated merchant/merchandise in the merchant representation.
10. The system of claim 9, wherein the processing device further comprises: and comparing the user data with the user image, and judging whether the current identity of the user is a temporary identity according to a comparison result.
11. The system of claim 9, wherein the processing device further comprises:
acquiring at least one of user chat information and user operation information;
and judging whether the current identity of the user is a temporary identity or not according to at least one of the user chat information and the user operation information and the user data.
12. The system of claim 9, wherein the processing device further comprises:
extracting personalized data which is suitable for representing the characteristics of the user from the user image;
the merchant/goods are further filtered or ranked according to the personalization data.
13. The system of claim 9, wherein the processing device further comprises:
acquiring at least one of consumption information and feedback information generated by a user of the temporary identity;
and establishing merchant/commodity recommendation parameters according to at least one of the consumption information and the feedback information or updating the original merchant/commodity recommendation parameters and storing the merchant/commodity recommendation parameters in the corresponding merchant portrait.
14. The system of claim 9, wherein the processing device further comprises:
further classifying the temporary identity according to the user image, and determining the type of the temporary identity;
extracting at least one merchant image associated with the type of the temporary identity from a database, comparing the temporary identity of the type with the associated merchant image, and screening merchant/commodity recommendation parameters and associated merchants/commodities associated with the temporary identity of the type in the associated merchant image.
15. A terminal device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the program executed by the processor comprises the method according to any of claims 1-8.
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