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Št. zadetkov: 5
Sistem za avtomatsko ocenjevanje algoritmov
Martin Jakomin, Tomaž Dobravec
Diplomsko delo
Oznake: algoritmi;ocenjevanje kakovosti algoritmov;avtomatsko ocenjevanje kakovosti algoritmov;spletni sistem;spletni vmesnik;računalništvo;računalništvo in informatika;računalništvo in matematika;univerzitetni študij;interdisciplinarni študij;diplomske naloge;
Sistem za avtomatsko ocenjevanje algoritmov
Leto: 2012 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Incremental matrix factorization for simultaneous learning from parallel data streams
Martin Jakomin, Zoran Bosnić, Tomaž Curk
Doktorska disertacija
Oznake: machine learning;matrix factorization;data streams;data fusion;incremental learning;recommender systems;synthetic data generator;computer and information science;doctoral dissertations;
Matrix factorization techniques have proven to be useful and reliable for solving largescale machine learning problems. The data sparsity and cold-start problems found in real-world applications, such as recommender systems, can be indirectly alleviated by considering multiple heterogeneous data ...
Leto: 2019 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Optimizacija nakupovanja spletnega oglasnega prostora
Jakob Bevc, Jure Demšar, Martin Jakomin
Magistrsko delo
Oznake: spletno oglaševanje;dražbe v realnem času;napoved porazdelitve ponudb;računalništvo;računalništvo in informatika;magisteriji;
V procesu nakupovanja spletnega oglasnega prostora dandanes prevladuje tako imenovano programatično oglaševanje. Gre za trženje oglasnega prostora preko avtomatiziranih dražb v realnem času. Za uspešno sodelovanje na dražbah je potrebno usklajeno delovanje različnih procesov, v katerih ključno vlogo ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Optimizing click-trough rate in online advertising using cost-sensitive learning
Bernarda Petek, Zoran Bosnić, Martin Jakomin
Magistrsko delo
Oznake: real-time bidding;click-trough rate prediction;cost-sensitive learning;custom loss function;
Real-time bidding is a type of online advertising, which displays personalized advertisements online to users based on their interests in real time. Demand-side platforms participate in such bidding for ad spaces. The bidding price, usually computed using a predicted click-through rate and target co ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Multi-task learning in programmatic advertising
Domen Vreš, Marko Robnik Šikonja, Martin Jakomin
Magistrsko delo
Oznake: artificial intelligence;machine learning;multi–task learning;real–time bidding;viewability prediction;click–through rate prediction;conversion rate prediction;deep & cross network;cross–stitch layer;soft attention;uncertainty based loss weighing;computer science;master's thesis;
With the popularity of the world wide web, online advertising became crucial for the advertising industry. A large part of online advertising is based on real-time bidding, where automated software is used to buy and sell ad space. In this ecosystem, demand-side platforms (DSP) work with advertisers ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 5
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