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Machine Learning

Content Understanding

Behind every great search engine is great content understanding.

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Machine Learning

Daniel Tunkelang in Content Understanding

Information Extraction

Searchers aren’t necessarily looking for documents. They’re looking for information that may be just a small part of a document.

Daniel Tunkelang in Content Understanding

Content Moderation

Content moderation combines classification and annotation with human review to implement a set of values and manage complex tradeoffs.

Daniel Tunkelang in Content Understanding

Content Quality

Content quality is a measure that represents the content’s value independent of any searcher’s particular information need.

Daniel Tunkelang in Content Understanding

Content Structure

Representing content structure in the index and using it in query processing helps connect users to the information they’re looking for.

Daniel Tunkelang in Content Understanding

Content Annotation

Like query understanding, content understanding uses holistic and reductionist approaches. Content annotation is a reductionist approach.

Daniel Tunkelang in Content Understanding

Content Classification

Content classification maps a piece of content — an entry in the search index — to one or more elements of a predefined set of categories.