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Deceptive Information Retrieval. [PDF]
Entropy (Basel)We introduce the problem of deceptive information retrieval (DIR), in which a user wishes to download a required file out of multiple independent files stored in a system of databases while deceiving the databases by making the databases’ predictions on the user-required file index incorrect with high probability.
Vithana S, Ulukus S.
europepmc +5 more sources
Neural Networks for Information Retrieval [PDF]
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many different approaches for many different IR problems. The amount of information available can be overwhelming both for junior students and for experienced researchers looking for new
Kenter, T. +5 more
openaire +10 more sources
Journal of the ACM, 1998 Publicly accessible databases are an indispensable resource for retrieving up-to-date information. But they also pose a significant risk to the privacy of the user, since a curious database operator can follow the user's queries and infer what the user is after.
Oded Goldreich +3 more
openaire +3 more sources
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval [PDF]
Scientific ReportsPre-trained models have garnered significant attention in the field of information retrieval, particularly for improving document ranking. Typically, an initial retrieval step using sparse methods such as BM25 is employed to obtain a set of pseudo ...
Min Pan +4 more
doaj +2 more sources
Beyond information retrieval: information discovery and multimedia information retrieval
Bibliothecae.it, 2017 The paper compares the current methodologies for search and discovery of information and information resources: terminological search and term-based language, own of information retrieval (IR); semantic search and information discovery, being developed ...
Roberto Raieli
doaj +3 more sources
Large Language Models for Information Retrieval: A Survey [PDF]
arXiv.org, 2023 As a primary means of information acquisition, information retrieval (IR) systems, such as search engines, have integrated themselves into our daily lives.
Yutao Zhu +7 more
semanticscholar +1 more source
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 Classical information retrieval systems such as BM25 rely on exact lexical match and can carry out search efficiently with inverted list index. Recent neural IR models shifts towards soft matching all query document terms, but they lose the computation ...
Luyu Gao, Zhuyun Dai, Jamie Callan
semanticscholar +1 more source
Study of Various Data Mining Methods to Select the Appropriate Method for Managers to Make Decisions in Urban Management (Case Study: Tehran Municipality) [PDF]
علوم و فنون مدیریت اطلاعات, 2021 Purpose: The main purpose of this article is to analyze the data of the Tehran Municipality websites and provide data mining solutions for managers' decisions.Methodology: This research is fundamental and in terms of nature, it can be considered ...
Shayesteh Shojaei Karizaki +2 more
doaj +1 more source
Neural Approaches to Conversational Information Retrieval [PDF]
The Information Retrieval Series, 2022 A conversational information retrieval (CIR) system is an information retrieval (IR) system with a conversational interface which allows users to interact with the system to seek information via multi-turn conversations of natural language, in spoken or ...
Jianfeng Gao +3 more
semanticscholar +1 more source