Addressing bias in information retrieval /
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...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2026.
|
| Series: | SpringerBriefs in intelligent systems,
|
| Subjects: |
Purchase on Demand
| Call Number: |
ZA3075 .M57 2026 |
|
|---|---|---|
| Notes: |
This title is available for the library to purchase for your use. Click the "Purchase It For Me" button to place a request. This item will take 5-10 business days to arrive. |
|
| Call Number | Status | Get It |
| ZA3075 .M57 2026 | Available | |