What is the history of indexing in information retrieval?

What is the history of indexing in information retrieval?

Indexing has evolved significantly since the early days of information retrieval. Initially, it was manual, with librarians creating card catalogs. With the advent of computers in the 1960s, automated indexing began, leading to the development of various algorithms and databases.

Can you tell me more about the key developments in indexing?

Sure! Key developments include the introduction of inverted indexes, which allow for faster search queries, and the use of metadata to enhance searchability. The rise of the internet also led to new indexing techniques, such as web crawling.

How has indexing changed with the rise of big data?

With big data, indexing has become more complex. Techniques like distributed indexing and real-time indexing have emerged to handle vast amounts of data efficiently. Machine learning is also being used to improve indexing accuracy.

What are some modern indexing techniques?

Modern indexing techniques include full-text indexing, faceted indexing, and semantic indexing, which leverage AI to understand context and improve search results.