Addressing Bias in Information Retrieval
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- TypeE-Books
- LanguageEnglish
- Total size3.8 MB
- Uploaded Byfreecoursewb
- Downloads70
- Last checkedJun. 02nd '26
- Date uploadedJun. 01st '26
- Seeders 16
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Addressing Bias in Information Retrieval
https://WebToolTip.com
English | June 23, 2026 | ISBN-10: 3032241448 | 89 pages| Epub PDF (True) | 3 MB
Online search engines are an essential tool for seeking information, but results returned from these search engines can contain undesirable forms of bias with respect to protected attributes such as gender or race. These biases can exist due to the word embeddings used by search engines, the design of re-ranking algorithms, the development of retrieval algorithms, or a variety of other reasons. Classical information retrieval (IR) methods, such as query recommendation or query expansion, were designed to produce the most relevant results. However, if such biases are present in the system, then these methods will also deliver biased results.
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