为传达正确信息而对内容进行建模的方法分析

Milind Gayakwad, S. Patil
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引用次数: 1

摘要

信息有各种各样的形式,如错误信息、虚假信息、公正信息、合法信息和完整信息。内容是内容作者为传递信息而创建的信息的派生形式。考虑到不断增长的内容量,决定有用和无关的内容是一项艰巨的任务。为了处理如此大量的数据,存储是必要的。不相关的内容也会浪费内容创建者、消费者和平台提供商的时间和金钱。搜索引擎营销和垃圾邮件技术排名的内容,从而一个网站。这种类型的实践鼓励无机方法来提高内容的等级。有机方法的使用可以在相当大的程度上提供解决方案。为了设计有机模型,本文讨论了该领域早期开展的研究。比如搜索,协同过滤,社交商务,微视频预测,社交商务。
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Analysis of Methodologies to Model the Content for Conveying the Correct Information
Information is found in various forms like Misinformation, Dis-information, Impartial Information, legit and complete information. Content is a derived form of the information created by the content writer for conveying the information. Considering the growing volume of content, it is a tough task to decide on useful and irrelevant content. To deal with such a large volume of data processing, storage is necessary. The irrelevant content causes a waste of time and money for the content creator, consumer, and platform provider as well. Search engine Marketing and spammy techniques rank the content and thereby a website. This type of practice is encouraging inorganic methodologies to boost the rank of content. The use of organic methodologies can provide the solution up to a considerable extent. To design the organic models the research carried out earlier in this field is discussed in this paper. Methodologies like Foraging, Collaborative Filtering, Social Commerce, Micro-Video Prediction, Social Commerce.
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