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Content Understanding

Daniel Tunkelang

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

Content Understanding

This publication is a series of posts devoted to content understanding. Each post is self-contained, but there is a natural progression. If you’d like to read them all, start with the first one.

Daniel Tunkelang

Content Moderation

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

Daniel Tunkelang

Content Quality

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

Daniel Tunkelang

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

Content Similarity

Documents are more than categories and bags of entities. More granular content understanding approaches measure similarity among documents.

Daniel Tunkelang

Content Annotation

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

Daniel Tunkelang

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.

Daniel Tunkelang

What is Content Understanding?

Content understanding is the foundation of the search process. Without content understanding, we can’t have robust search.

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