An Information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio. To do this the user's profile is compared to some reference characteristics.

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  • 資訊過濾(Information Filtering),是資源及使用者的中介者,強調的是主動、長期與個人化的資訊服務;在一個數位化極度發展的時代裡,要能夠在澔翰資訊裡擷取出所需要的資訊,指引出使用者所需之最相關資訊仰賴資訊過濾技術的發展,一般主要是透過電腦來進行自動抽取、分類、摘要等工作;找出文件的關鍵詞並加以自動分類,再以自動摘要的技術將文件相關內容做一整理,提供給使用者瀏覽,其過濾的方式因應用範圍於不同領域、資訊系統所涵蓋的資訊特質不同,所採去的過濾方式也不同,其過濾技術大致可分為內容式資訊過濾(Content-based Information Filtering)及協力式資訊過濾(Collaborative Information Filtering)兩種,除了可在大型網路資源搜尋系統上使用,亦可和網頁瀏覽器結合運用。
  • An Information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio. To do this the user's profile is compared to some reference characteristics. These characteristics may originate from the information item (the content-based approach) or the user's social environment. Whereas in information transmission signal processing filters are used against syntax-disrupting noise on the bit-level, the methods employed in information filtering act on the semantic level. The range of machine methods employed builds on the same principles as those for information extraction. A notable application can be found in the field of email spam filters. Thus, it is not only the information explosion that necessitates some form of filters, but also inadvertently or maliciously introduced pseudo-information. On the presentation level, information filtering takes the form of user-preferences-based newsfeeds, etc.. Recommender systems are active information filtering systems that attempt to present to the user information items the user is interested in. These systems add information items to the information flowing towards the user, as opposed to removing information items from the information flow towards the user. Recommender systems typically use collaborative filtering approaches or a combination of the collaborative filtering and content-based filtering approaches, although content-based recommender systems do exist.
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  • An Information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio. To do this the user's profile is compared to some reference characteristics.
  • 資訊過濾(Information Filtering),是資源及使用者的中介者,強調的是主動、長期與個人化的資訊服務;在一個數位化極度發展的時代裡,要能夠在澔翰資訊裡擷取出所需要的資訊,指引出使用者所需之最相關資訊仰賴資訊過濾技術的發展,一般主要是透過電腦來進行自動抽取、分類、摘要等工作;找出文件的關鍵詞並加以自動分類,再以自動摘要的技術將文件相關內容做一整理,提供給使用者瀏覽,其過濾的方式因應用範圍於不同領域、資訊系統所涵蓋的資訊特質不同,所採去的過濾方式也不同,其過濾技術大致可分為內容式資訊過濾(Content-based Information Filtering)及協力式資訊過濾(Collaborative Information Filtering)兩種,除了可在大型網路資源搜尋系統上使用,亦可和網頁瀏覽器結合運用。
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  • 資訊過濾
  • Information filtering system
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