Program commending method based on electronic program guide

Abstract

The invention discloses a method for recommending programs based on EPG. It reads the classification directory in the EPG program list received for the first time, uses the program category in the classification directory as a node, establishes a basic concept space, and receives the EPG program each time At the same time, the new concepts appearing in the received EPG program list should be used as contacts to update the concept space; the query keywords that the user has queried are clustered, and the result of the concept clustering is mapped to the concept space On the corresponding nodes in , form the current user's personality preference space according to the area formed by the mapped nodes: A. call the personality preference space, and read the current EPG program list; B. according to the called personality preference space, With each node in the personality preference space as the retrieval content, the current EPG program list is retrieved, and the EPG program recommendation information is formed and displayed. The application of the present invention can provide users with highly accurate EPG program recommendation information through simple operations.

Description

technical field [0001] The invention relates to electronic program guide (EPG) technology, in particular to an EPG-based program recommendation method. Background technique [0002] In the era of analog TV, due to the small number of TV channels, users can use the method of traversing through the remote control to search for their favorite programs. However, with the advent of the digital age and the advancement of broadcasting technology, due to the digitization of digital TV transmission, multiple services such as video, audio, image, and data can be mixed in one channel for transmission. Therefore, digital TV is no longer a single TV service, but a digital service transmitted through a TV transmission channel. At present, global digital TV has entered a stage of rapid development, and it is foreseeable that in the next few years, services related to digital TV will increase substantially. The ensuing problem is that when digital TV can provide users with programs and mu...

AI Technical Summary

Problems solved by technology

[0008] 1. In the keyword retrieval mode, the existing EPG-based program recommendation method only extracts the program information containing the keyword from the EPG program list, without considering whether the retrieved information is related to the user's viewing tendency, and then Will provide users with useless information, resulting in low intelligence and low accuracy of program recommendation

[0009] 2. In the commentator recommendation mode, many commentators should continuously comment on all program information according to the user's viewing habits, and the processor must balance among all commentators to determine the program information recommended to the user , resulting in complex execution process, high degree of human participation and high cost

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