81results about How to "Realize intelligent recommendation" patented technology

The invention discloses a cold-chain logistic stowage intelligent recommendation method based on spectral clustering. Scores of users for a stowage line are conveyed through a cold chain for cold-chain logistic stowage intelligent recommending, a score matrix is built, the Euclidean distance is used for calculating the user similarity, a degree matrix is used for calculating a Laplacian matrix, feature vectors are obtained by calculating feature values of the orderly Laplacian matrix, a K-means algorithm is used for clustering the feature values to obtain a user group with the similar interesting stowage line, and a stowage line is recommended inside the user group with the similar interesting stowage line, so that cold-chain logistic stowage intelligent recommending is achieved, the cold-chain logistic vehicle non-load ratio is lowered, and the profit rate of cold-chain logistic transport vehicles is increased.

The invention discloses a method and a device for recommending contact photos, for realizing intelligent recommendation for contact photos to a user, thus enriching contact information. The method comprises the following steps: obtaining the character feature information of contacts according to call records related to the contacts; obtaining the face information of faces in photos stored in a local album; screening out the photos with the face information matched with the character feature information to generate a photo recommendation list; displaying the photo recommendation list for the user to choose. The technical scheme realizes intelligent recommendation for contact photos to the user, so that the user does not need to manually look up proper contact photos from many photos, thus bringing convenience to the user and enriching contact information in an address list.

The invention provides a housing resource recommendation method and a server, and the method comprises the steps: obtaining the historical access records of a to-be-recommended client for each housingtype when a recommendation starting instruction is received, the historical access records comprising at least one of the number of housing type access times, the number of clicks, and the access duration; Calculating a preference value of the to-be-recommended client for each house type according to the historical access record, and selecting one house type from the house types according to thepreference values as a reference house type of the to-be-recommended client; And calculating the similarity between each to-be-matched house type in the to-be-matched house type library and the reference house type, selecting the to-be-matched house type with the similarity meeting a preset relationship as a recommended candidate house type, and sending the recommended candidate house type recommendation to the to-be-recommended client. Intelligent recommendation of house types is achieved, browsing of clients can be more targeted, and house watching time is shortened. In addition, intelligentrecommendation is carried out according to customer preferences, and the house transaction efficiency can be improved.

The invention provides a commodity recommendation method based on a vending machine and a device thereof. The method comprises the following steps: authenticating a user, and if the user is an authenticated user, obtaining authentication information of the user; acquiring a historical purchase record according to the authentication information of the user; determining a recommended commodity corresponding to the user; determining a commodity display area corresponding to the recommended commodity according to the recommended commodity; in addition, controlling the LED indicator corresponding to the commodity display area to light up to prompt the user to purchase the recommended commodity in the commodity display area. The invention realizes the intelligent recommendation of the recommended goods corresponding to the frequently purchased or habitual interest points of the user. The LED indicator light is directly lit in the commodity display area corresponding to the recommended goodsof the user, which provides convenience for the user to search for the recommended goods habitually purchased, improves the shopping efficiency, saves the shopping time, and improves the user experience.

The invention relates to the field of system development technology and particularly discloses a project intelligent service system. The system contains a project application intelligent analysis module and a project intelligent recommendation module, wherein the project application intelligent analysis module is used for analyzing feasibility of a project applied for by a user; and the project intelligent recommendation module is used for pushing an analysis result to the user. The system also comprises a database and a user information acquisition module, wherein project application information is stored in the database; and the user information acquisition module is used for acquiring user information. Through the system, all-intelligent analysis and intelligent recommendation are realized, most analysis work of professionals is replaced, a reasonable government project analysis scheme is provided for the user, and the problem that the user does not know how to apply for a government project is solved.

The invention relates to the field of management, in particular to a management method of an unmanned supermarket. The entrance of the unmanned supermarket is detected via a face recognition system, and a gate can be normally opened when only one person is in the area; when the user enters the supermarket, a detection system detects and locks the target; a tracking system tracks the user, obtains a moving track and saves the moving track and corresponding time stamps; the user automatically pays via an RF label induction system; an exit of the unmanned supermarket is detected via the face recognition system, the gate can be normally opened when only one person is in the area; a commodity recommendation value is obtained according to the moving track and the purchasing record of the user, and information is fed back to the user according to the size of the recommendation value. The management method has the benefits as follows: the user can enter the unmanned supermarket after face recognition verification, the unmanned supermarket performs screening on the users, and the illegal behaviors such as stealing and the like are avoided; intelligent recommendation of offline commodities is realized through behavior analysis and shopping records, and the user experience is improved.

The embodiments of the invention provide a multimedia resource recommendation method and system. The method comprises the steps of establishing a text vector matrix and a tag vector matrix corresponding to a multimedia library; acquiring a text reduction matrix of the text vector matrix and a tag reduction matrix of the tag vector matrix; when determining a current multimedia file played by a user, determining the multimedia similarity degrees between the current multimedia file and other multimedia files in the multimedia library according to the text reduction matrix and the tag reduction matrix; according to the multimedia similarity degrees corresponding to the multimedia files in the multimedia library, determining the multimedia files to be recommended to users as to-be-recommended resources. The method solves the problem of cold boot in a multimedia resource recommendation process and solves the problem of influence of text synonyms and polysemy on multimedia file similarity degree calculation in a multimedia resource recommendation process, so that the multimedia file matching degree is increased and the accuracy of multimedia resource recommendation is improved.

The invention discloses an intelligent game recommending method and device. The method comprises the following steps: acquiring user data of a plurality of users and game data of a plurality of games through data mining; generating user portraits of the users according to the user data; generating game portraits of the games according to the game data; specific to one user of the plurality of users, matching the user portrait of the user with the game portraits of the plurality of games to obtain a game to be recommended, and recommending the game to be recommended to the user; or specific to one game of the plurality of games, matching the game portrait of the game with the user portraits of the plurality of users to obtain a user to be recommended, and recommending the game to the user to be recommended. Through the scheme, intelligent recommending of the games is realized; the game recommending effect is enhanced; a game recommending method is optimized; and the user experience is improved.

The invention provides a house resource recommendation method and device and a server. By utilizing the historical access records of clients, the historical access record can reflect the preference ofthe user for each house type, so that the client reference house type can be accurately determine. The method is characterized by determining a candidate house type set based on the similarity between the to-be-matched house type in the to-be-matched house type library and each reference house type, and then obtaining a target recommended house type according to the coverage rate of each candidate house type set and the collected house type, thereby recommending at least part of the house type of the target recommended house type to the to-be-recommended client. According to the present invention, the intelligent recommendation of house types is achieved, a client does not need to browse and check all the house types on the house viewing platform, the intelligent recommendation is conducted through the server, the browsing of the client can be more targeted, and the house viewing time is shortened. In addition, the intelligent recommendation is carried out according to customer preferences, and the house transaction efficiency can be improved.

The embodiment of the invention discloses a data recommendation method, a terminal and a server. The data recommendation method comprises the following steps: first multimedia data are acquired and analyzed so that the corresponding data characteristics of the first multimedia data can be obtained; the data characteristics of the first multimedia data are transmitted so that the server can search at least one second multimedia data matching the data characteristics of the first multimedia data from a preset database; the at least one second multimedia data transmitted by the server are received and the multimedia recommendation data are selected from the at least one second multimedia data. According to the embodiment, an user can conveniently acquire the multimedia recommendation data and the satisfaction degree of the user to the multimedia recommendation data is improved.

The invention discloses an online shopping mall commodity recommendation system based on cloud computing big data analysis. The online shopping mall commodity recommendation system comprises a user infant basic information acquisition module, a historical shopping order screening module, a historical shopping order classification analysis module, a database, a consumed commodity actual consumptionduration statistics module, an analysis server and a recommendation terminal. According to the invention, the birth date of the baby and all historical shopping orders in the set time period under the user account are obtained by logging in the account by the user, so that the consumption coefficient corresponding to the consumption unit commodity number of the baby age group corresponding to thesame commodity type consumed by each baby is counted; and further, the predicted total consumption duration corresponding to the commodity quantity of the latest shopping order consumed by the same commodity type consumed by each infant is calculated, so that a recommendation time point is obtained, the matching degree with the user demand is improved by the recommendation time point, the defectof low matching degree with the user of the current online shopping mall recommendation time point is overcome, and the user consumption experience is improved.

The invention discloses an intelligent air ticket recommendation method. The method comprises the following steps: acquiring a query condition input by a user, and searching according to the query condition to obtain data of n flights; performing preliminary scoring on each flight to obtain S0i according to the lowest ticket price of each flight and whether each flight flies directly or not; calculating the weight ki of each flight based on the historical data of the user and whether the departure place is consistent with the geographic position of the user or whether the departure place is acommon departure place; and calculating a final score Si = kixS0i of each flight, sorting the Si according to a descending order of the scores, and sequentially recommending the data of the m flightsarranged at the foremost place to the user. According to the invention, the flight is scored based on various factors, the flight data is recommended to the user according to the score, and the user can select a favorite airline ticket only by recommending less flight information, so that the selection fear of the user can be effectively eliminated.

The invention discloses a big data-based information content intelligent analysis recommendation processing system. The system comprises an information acquisition module, an information preliminary processing module, an information classification storage module, an information category database, an information storage database, a user information acquisition module, a user browsing preference analysis module, an analysis server and an intelligent recommendation terminal, each piece of information is collected in each news information website, the collected information is processed and storedin a classified mode, user registration basic information and historical browsing records are obtained, then predicted preference information categories and browsing preference information categoriesare obtained, the user preference information categories are analyzed according to the above steps, and user experience is improved; and finally, the analyzed information content under the user preference information category is pushed to the user through the intelligent recommendation terminal, so the intelligent recommendation of the information is realized, the matching degree of the recommended information content and the user preference is high, the time for the user to search for the own preference information is saved, and the user experience is enhanced.

The invention provides a matching commodity recommendation method, a device and a user terminal, wherein the method comprises the following steps: acquiring a first shopping image including a commodity taken by a user; identifying the first shopping image to obtain commodity information of the commodity taken by the user; confirming the collocation commodity corresponding to the commodity varietyin the commodity information in the preset collocation relationship database; the LED indicator light corresponding to the commodity display area of the collocation commodity variety being controlledto prompt the user to select and purchase the collocation commodity corresponding to the collocation commodity variety in the commodity display area. The invention realizes intelligent recommendationfor mutually matched commodities in the shopping process of a user, the LED indicator light is illuminated on the commodity display area corresponding to the commodity selected by the user, which provides convenience for the user to search the collocation commodity used with the selected commodity, improves the shopping efficiency, saves the shopping time, and improves the user experience.

The invention relates to a social networking site user Chinese remark name system recommendation method applied to social networking sites. The method includes aiming to arrangement of friend remark names, considering the length factors, composition factors and word frequency factors of net names comprehensively, adopting a weighting computation method, and implementing system intelligent recommendation effectively. The method is adaptive to the situation of large amount of users' net name data, the situation of one user owning different net names and the situation of small amount of one user's net name data.

The invention relates to an intelligent recommendation method and system, belongs to the field of information processing and particularly relates to an industrial design product intelligent recommendation method and system. Industrial design industry related information metadatabase is built by means of data obtained from internet collection and third-party data collection, user data is obtained, then an industrial design industry related information list matched with user interest, identifies and personalized requirements are recommended according to a socialgram and an interest map of users on the basis of the industrial design industry related information metadatabase and a user database, finally recommended information is displayed on an application program interface to be selected by the users, and intelligent recommendation of industrial design industry information is achieved. Industrial design industry professional information obtaining precision is greatly improved for the users.

The invention discloses a tourist attraction route intelligent recommendation method based on a mobile internet and big data analysis, and the method comprises the steps: screening out candidate recommendation scenic spots from all scenic spots through the real-time positioning of the geographic positions of tourists, and screening out a target recommendation scenic spot through integrating the distance of all candidate recommendation scenic spots, the real-time number of tourists and the tourist attraction visiting popularity, recommending to tourists and navigating touring routes, thus intelligent recommendation and touring route navigation of the current touring scenic spots of the tourists are realized, and compared with a traditional manual scenic spot screening recommendation method, the recommendation method is high in intelligent level and recommendation efficiency, the recommendation basis is expanded, the recommendation function is perfected, According to the method, the screened target recommendation scenic spot can meet the distance proximity recommendation principle, and the off-peak sightseeing and the sightseeing popularity of the scenic spot can be considered, so that the recommendation effect is improved, the sightseeing experience of the tourist is enhanced, and the rapid and comprehensive recommendation requirement of the tourist for sightseeing the scenic spot in real time is greatly met.

The invention relates to the technical field of satellite finding, and particularly relate to a satellite television program intelligent recommendation method. The satellite television program intelligent recommendation method comprises the steps of acquiring coordinate information and orientation information of a satellite receiving device, matching precise satellite information corresponding to the satellite receiving device from a satellite network database, matching all television program information capable of being received by the current satellite receiving device from a global satellite program database according to the current precise satellite information and precise satellite information stored in a local database, then classifying and sorting the television program information according to user preferences, and outputting the sorted television program information so as to be provided for users to check and select, thereby realizing intelligent recommendation of the satellite television programs. The invention further provides a satellite television program intelligent recommendation system. The embodiment of the invention solves problems of tedious satellite finding, insufficient auxiliary means and inability of providing a program intelligent recommendation function for users of a satellite television set-top box +DiSEqC motor based system in the prior art.

The invention discloses a textile and garment color matching collaborative design and intelligent recommendation method. The method comprises the following steps of color matching quantitative analysis, color matching collaborative design and color matching strategy recommendation. The image information processing technology is adopted, on the basis of the HSV color space, image color clustering is achieved through the K-means clustering algorithm, objective quantitative analysis of the color matching relation is achieved in combination with the related color matching theory, and the method capable of being used for analyzing and judging the textile and garment color matching relation is formed. The collaborative design between the existing color matching and the color popular trend is carried out by combining the color popular trend and the color matching design imagination theme, and the color matching design is carried out by combining the target color imagination on the basis of the subjective and objective quantitative result of the existing color matching, so that the intelligent recommendation of color matching is realized. Therefore, textile and garment color matching is recommended and guided, a reference is provided for a color designer, the emotion requirement of consumers is met, and colors are accurately quantified.

The embodiment of the invention provides a data processing method, a client, a server, a system and a storage medium. In the data processing system, based on interaction between a client and a server, when a first user initiates an operation of checking health data of a second user, a query intention of the first user can be estimated, and target health data matched with the query intention of the first user in the health data of the second user is displayed; therefore, intelligent recommendation of the health data is realized, the health data meeting the query requirement of the first user can be quickly displayed to a first user, and data query efficiency is improved.

The invention provides a method and a device for determining a webpage information source and webpage quality, and relates to the technical field of Internet, in particular to intelligent search and intelligent recommendation technologies. According to the implementation scheme, the method comprises steps: determining a plurality of information sources corresponding to a webpage according to the address or content of the webpage; and associatively storing the identifier of the webpage and the identifiers of the plurality of information sources; and further determining the quality of the webpage according to the respective quality of the plurality of information sources corresponding to the webpage based on the determined plurality of information sources corresponding to the webpage. By utilizing the scheme provided by the invention, the plurality of information sources corresponding to the webpage can be determined, so that the source of the webpage is comprehensively expressed; and the quality of the webpage can be evaluated from the perspective of an information source, so that the accurate evaluation of the webpage quality is realized. And furthermore, the webpage with relatively high quality can be preferentially presented to the user in a search and recommendation scene, so that the quality of information provided for the user is improved.