Results 1 to 10 of about 10,996,254 (276)

Deceptive Information Retrieval. [PDF]

open access: yesEntropy (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

Beyond information retrieval: information discovery and multimedia information retrieval

open access: yesBibliothecae.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   +2 more sources

Information Retrieval: Recent Advances and Beyond [PDF]

open access: yesIEEE Access, 2023
This paper provides an extensive and thorough overview of the models and techniques utilized in the first and second stages of the typical information retrieval processing chain.
Kailash A. Hambarde, Hugo Proença
semanticscholar   +1 more source

The Information Retrieval Experiment Platform [PDF]

open access: yesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
We integrate irdatasets, ir_measures, and PyTerrier with TIRA in the Information Retrieval Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and even blinded retrieval experiments.
Maik Frobe   +8 more
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]

open access: yesعلوم 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

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List [PDF]

open access: yesNorth 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

Neural Approaches to Conversational Information Retrieval [PDF]

open access: yesThe 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

Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations

open access: yesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. It aims to provide effective, reproducible, and easy-to-use first-stage retrieval in a multi-stage ranking architecture.
Jimmy J. Lin   +6 more
semanticscholar   +1 more source

Geographic Information Retrieval [PDF]

open access: yesSIGSPATIAL Special, 2011
This special issue of SIGSPATIAL Special presents a series of notes describing the state of the art in Geographic Information Retrieval. The notes are intended to provide a review of some of the challenges presented as key research areas in Geographic Information Retrieval [Larson, Jones and Purves], and reflect progress in the field in the intervening
Purves, Ross S, Jones, Christopher B
openaire   +4 more sources

Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering

open access: yesAlgorithms, 2023
Page stream segmentation (PSS) is the task of retrieving the boundaries that separate source documents given a consecutive stream of documents (for example, sequentially scanned PDF files).
Lukas Busch   +2 more
doaj   +1 more source

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