Tesi di laurea in Informatica presso l'Università degli Studi di Padova
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Updated
Dec 15, 2019 - TeX
Tesi di laurea in Informatica presso l'Università degli Studi di Padova
The following repository contains all the notes taken during the Information Retrieval course in the University of Pisa
Web Information Retrieval notes from Sapienza MS in Engineering in CS. Spring 2019.
Repositorio de la asignatura Gestión de Información en la Web del Máster de Ingeniería Informática de la UGR
📔 [WiP] Writing of the prediction model and plataform for NEURONE.
Project for the Information Processing and Retrieval course.
Homeworks done within Data Mining course of M.Sc. in Engineering in Computer Science at Università degli Studi di Roma "La Sapienza" (A.Y. 2016/2017), in collaboration with Giacomo Lanciano and Francisco Ferreres.
Thesis titled "Recency Ranking Models for Web Search"
Конспект по RAG для курса NLP в магистратуре ММП
Information Retrieval Model to the research interests of the Faculty members of the Department (a.k.a. DEP or professors) and based on this to suggest possible collaborations between them.
Search Results Explorer - Interactive Information Retrieval (IIR) System
SPbAU Information retrieval course, Fall '17
Doctoral thesis of Vít Novotný
Development of a search engine using Apache Solr and its integration in a .NET environment. Bachelor thesis for my Computer Science degree at University of Milano-Bicocca. (Italian language)
Homeworks done within Data Mining course of M.Sc. in Engineering in Computer Science at Università degli Studi di Roma "La Sapienza" (A.Y. 2016/2017), in collaboration with Fabio Rosato and Francisco Ferreres.
A brief literature review of efficient data structures for representing n-gram language models.
Template in latex for monography writing of the class of Information Retrieval - University of Aveiro 2016
Master Thesis on reproducibility and interpretability of neural ranking models
Perl script to add indentation (leading horizontal space) to LaTeX files. It can modify line breaks before, during and after code blocks; it can perform text wrapping and paragraph line break removal. It can also perform string-based and regex-based substitutions/replacements. The script is customisable through its YAML interface.
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