An end-to-end pseudo relevance feedback framework for neural document retrieval

Release time:2024-04-04 Hits:

Impact Factor:8.6

DOI number:10.1016/j.ipm.2019.102182

Affiliation of Author(s):中国科学院

Journal:Information Processing & Management

Place of Publication:荷兰阿姆斯特丹

Key Words:Neural Retrieval Model; Pseudo Relevance Feedback; Information Retrieval; Document Rerank

Note:SCI一区

Indexed by:Journal paper

Document Code:ipm.2019.102182

Discipline:Engineering

Document Type:J

Volume:57

Issue:2

Number of Words:9806

ISSN No.:0306-4573

Translation or Not:no

Date of Publication:2020-03-01

Included Journals:SCI

Links to published journals:https://dl-acm-org-s.webvpn.fjut.edu.cn/doi/abs/10.1016/j.ipm.2019.102182