sparse representation

Baidu Geek Talk

Mar 13, 2023 · Artificial Intelligence

Recent Advances in Sparse and Dense Retrieval for Search Engines

The article surveys recent academic advances in both sparse inverted‑index and dense semantic retrieval for large‑scale search, highlighting key papers on decision frameworks, benchmarks, sparse lexical models, dual encoders, and hybrid techniques, while discussing challenges such as single‑vector limits and proposing multi‑view and hybrid solutions.

Search Enginesdense retrievalinformation retrieval

0 likes · 12 min read

Recent Advances in Sparse and Dense Retrieval for Search Engines

DataFunTalk

Jan 23, 2021 · Artificial Intelligence

Feature Engineering: Mapping Raw Data to Machine‑Learning Features and Best Practices

This article explains how feature engineering transforms raw data into numerical representations for machine‑learning models, covering mapping of numeric and categorical values, one‑hot and multi‑hot encoding, sparse representations, scaling, handling outliers, binning, data quality checks, and feature interactions to capture non‑linear relationships.

Encodingdata preprocessingfeature engineering

0 likes · 20 min read

Feature Engineering: Mapping Raw Data to Machine‑Learning Features and Best Practices