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Context-perceptive IPTV program recommending method

A recommendation method and program recommendation technology, applied in the field of latent semantic model, can solve the problem of ignoring context information and achieve the effect of improving quality

Inactive Publication Date: 2013-08-21
EAST CHINA NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical defect of ignoring context information in the existing IPTV program recommendation technology, the present invention provides a context-aware IPTV program recommendation method

Method used

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Embodiment

[0036] by referring to figure 1 The features, objects and advantages of the present invention will become more apparent from the following detailed description of non-limiting examples:

[0037] figure 1 A schematic diagram showing a context-aware IPTV program recommendation method according to a specific embodiment of the present invention. Specifically, preferably, in this embodiment, the technical solution provided by the present invention is completed through the following process:

[0038] (1): The first is data preprocessing, forming a user-program pair (u, i) with the record of each program watched by the user, and setting its score to 1, denoted as r ui =1.

[0039] (2): For each score, calculate its confidence c ui . For a program, it is first judged whether it is a TV series. If the program is not a TV series, calculate its confidence level according to the following formula:

[0040] c ui = ...

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Abstract

The invention provides a context-perceptive IPTV program recommending method. The method comprises the steps of calculating a concealed score of a watched program from a user, a confidence coefficient and context weight according to a watching record of a user; regarding each user and each program, initializing a user vector and a program vector according to a context; carrying out dimensionality reduction on the user vector and the program vector; utilizing a semanteme model to carry out scoring prediction to form recommendation. The context-perceptive IPTV program recommending method improves a traditional IPTV program recommending strategy according to the context information and has the advantages of analyzing user behavior according to the context, conforming with the practical situation better and having higher prediction and recommendation quality.

Description

technical field [0001] The invention relates to the field of latent semantic models used in recommendation systems in information retrieval, in particular to an improved latent semantic model, and the method is based on context perception. Background technique [0002] The latent semantic model belongs to the collaborative filtering technology, and recent studies have shown that the latent semantic model is superior to the traditional nearest neighbor technology. Unlike the traditional nearest neighbor method, the latent semantic model does not need to calculate the similarity between users and programs, but characterizes users and programs into tens or even hundreds of dimensional feature spaces through user program ratings. In a sense, these characteristics are characteristics such as machine-based program types and user personalities. For programs, these characteristics may be able to measure some obvious classifications, whether it is a comedy or a drama, whether it is ...

Claims

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Application Information

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IPC IPC(8): H04N21/258H04L29/06
Inventor 杨燕崔永利陈昊李明耀郝娟黄保荃
Owner EAST CHINA NORMAL UNIV
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