Learning to rank for information retrieval and natural language processing

Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on the problem recently and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, existing approaches, theories, applications, and future work.

שנה

2011

שפה

English

סדרה

Synthesis lectures on human language technology -- # 12

הוצאה

Morgan & Claypool

מהדורות

1

עמודים

114

ISBN

9781608457083

מקור הנתונים: Wikidata