- Visa mer
Visa alla på WikipediaAdversarial information retrieval (adversarial IR) is a topic in information retrieval related to strategies for working with a data source where some portion of it has been manipulated maliciously. Tasks can include gathering, indexing, filtering, retrieving and ranking information from such a data source. … Visa mer
Topics related to Web spam (spamdexing):
• Link spam
• Keyword spamming
• Visa merThe term "adversarial information retrieval" was first coined in 2000 by Andrei Broder (then Chief Scientist at Alta Vista) during the Web plenary session at the TREC-9 conference. Visa mer
• AIRWeb: series of workshops on Adversarial Information Retrieval on the Web
• Web Spam Challenge: competition for researchers on Web … Visa merText från Wikipedia enligt CC-BY-SA license Areas where information retrieval techniques are employed include (the entries are in alphabetical order within each category):
• Digital libraries
• Information filtering
• Media searchWikipedia · Text med CC-BY-SA-licens- Beräknad lästid: 10 min
Improving Wikipedia verifiability with AI - Nature
WEBB19 okt. 2023 · Petroni et al. use an information-retrieval model to assist Wikipedia users in improving verifiability. Verifiability is a core content policy of Wikipedia: claims need to be backed by...
Adversarial Web Search | Foundations and Trends in Information …
WEBB1 maj 2011 · In this monograph, we consider the effects of the adversarial relationship between search systems and those who wish to manipulate them, a field known as "Adversarial Information Retrieval". We show that search engine spammers create false content and misleading links to lure unsuspecting visitors to pages filled with …
Proceedings of the 3rd international workshop on Adversarial ...
WEBBAdversarial Information Retrieval addresses tasks such as gathering, indexing, filtering, retrieving and ranking information from collections wherein a subset has been manipulated maliciously.
Generative Adversarial Nets for Information Retrieval: …
WEBBGenerative Adversarial Nets for Information Retrieval: Fundamentals and Advances. Weinan Zhang. Shanghai Jiao Tong University wnzhang@sjtu.edu.cn. ABSTRACT. Generative adversarial nets (GANs) have been widely studied dur- ing the recent development of deep learning and unsupervised learning.
[1806.03577] Generative Adversarial Nets for Information Retrieval ...
WEBB10 juni 2018 · Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. Weinan Zhang. Generative adversarial nets (GANs) have been widely studied during the recent development of deep learning and unsupervised learning. With an adversarial training mechanism, GAN manages to train a generative model to fit the …
WEBBExisting neural network based methods promote PGMs by enhancing the expressive ability and allowing flexible dependencies, but still suffer from exposure bias and inferior estimation. In this paper, we propose a novel framework, Adversarial Imitation Click Model (AICM), based on imitation learning.
WEBBAn autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data ( unsupervised learning ). [1] [2] An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.
WEBB21 feb. 2019 · In this paper, we propose a semantic consistent adversarial cross-modal retrieval (SC-ACMR) method, which explores the semantics similarity from two intra-modality and inter-modality. For the intra-modality, it is to keep the semantic consistency for each semantic class from the same modality.
