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Intelligent recommendation system and method based on intelligent media service platform
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A technology for media services and recommendation systems, applied in special data processing applications, instruments, electronic digital data processing, etc. Effect
Inactive Publication Date: 2021-05-14
河北金融学院 +2
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Problems solved by technology
In the current information recommendation scheme, the mainstream recommendation method adopted is the Item-Based collaborative filtering recommendation algorithm. Based on this information recommendation method, users who use many items will have a great impact on the overall recommendation, and popular The project has a relatively strong connection with most other projects, and popular projects are easily pushed out, but this recommendation method is not follow-up. When the user arrives at a new location, the content recommended by the traditional recommendation method is consistent with the The user's points of interest are too concentrated, and it is impossible to recommend the content that the user really needs
Method used
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Embodiment 1
[0078] figure 2 A structural block diagram of an intelligent recommendation system based on an intelligent media service platform according to an embodiment of the present invention is shown.
[0079] Specifically, an embodiment of the present invention provides an intelligent recommendation system based on a smart media service platform, including a terminal 100 and a cloud 200 communicating with the terminal 100;
[0080] The terminal 100 is used to obtain the basic information of the current user, wherein the basic information includes historical data information and geographical location information; send the basic information to the cloud; receive and display the recommended information returned by the cloud;
[0081] In the specific implementation of the embodiment of the present invention, after obtaining the authorization, the terminal 100 collects the basic information of the current user. It can be understood that the basic information includes the historical data i...
Embodiment 2
[0101] image 3 A structural block diagram of the data retrieval unit 202 provided by Embodiment 3 of the present invention is shown.
[0102] Specifically, in the preferred embodiment provided by the present invention, the data retrieval unit 202 specifically includes:
[0103] Traversing module 2021, configured to traverse all preset location information in the information database;
[0104] A marking module 2022, configured to mark preset location information corresponding to the current user geographic location information;
[0105] A confirming module 2023, configured to use preset data information corresponding to the preset location information as preset data.
Embodiment 3
[0107] Figure 4 A structural block diagram of the first extraction unit provided by Embodiment 3 of the present invention is shown.
[0108] Specifically, in the preferred embodiment provided by the present invention, the first extraction unit 203 specifically includes:
[0109] The first word segmentation module 2031 is used to perform word segmentation operations on all sentences of the current user historical data information text to obtain word units;
[0110] The first acquisition module 2032, acquires the word feature of the word unit, the sentence feature of the word unit in the corresponding historical data information text sentence, and the text feature of the word unit in the historical data information text;
[0111] The first extraction module 2033 is used to extract keywords from the sentences of each historical data information text by using the word features, sentence features and text features of the word units in each analysis sentence based on the machine l...
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Abstract
The embodiment of the invention relates to the technical field of information recommendation, and particularly discloses an intelligent recommendation system and method based on an intelligent media service platform. In the intelligent recommendation system, user keywords are extracted based on the current user historical data information, preset keywords are extracted based on the preset data, and recommendation information pushed according to a preset sequence is generated according to the user keywords and the preset keywords; the recommendation information is sent to the terminal, and the terminal displays the recommendation information; therefore, according to the embodiment of the invention, when the user arrives at a new place, the interest point of the user is combined with the interest points of other surrounding users, so that the recommendation information matched with the interest points of the users can be obtained while the recommendation information matched with the interest points of the users is obtained; the problem that the content recommended by a traditional recommendation method and the interest point of the user are excessively centralized is solved, and the really needed content can be well recommended for the user.
Description
technical field [0001] The embodiment of the present invention relates to the technical field of information recommendation, specifically an intelligent recommendation system and method based on a smart media service platform. Background technique [0002] With the increasing development of information technology, information recommendation based on user preferences, historically concerned information, friends and information followed by friends, etc. has become an important content of current network technology applications. In the current information recommendation scheme, the mainstream recommendation method adopted is the Item-Based collaborative filtering recommendation algorithm. Based on this information recommendation method, users who use many items will have a great impact on the overall recommendation, and popular The project has a relatively strong connection with most other projects, and popular projects are easily pushed out, but this recommendation method is n...
Claims
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Application Information
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