Št. zadetkov: 36
Video in druga učna gradiva
Oznake:
computer science;data mining
Recommender problems with large and dynamic item pools are ubiquitous in web applications like content optimization, online advertising and web search. Despite the availability of rich item meta-data, excess heterogeneity at the item level often requires inclusion of item-specific ``factors'' (or we ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web;annotation
We propose fLDA, a novel matrix factorization method to predict ratings in recommender system applications where a “bag-of-words” representation for item meta-data is natu- ral. Such scenarios are commonplace in web applications like content recommendation, ad targeting and web search where items ar ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;recommender systems
In this half-day tutorial, we provide an in-depth introduction of data mining challenges that arise in the context of recommender problems for web applications. Since Netflix released a large movie ratings dataset, recommender problems have received considerable attention. The focus of this tutorial ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
Recommendation systems have become ubiquitous for web applications. Given significant heterogeneity in user preference, providing personalized recommendations is key to the success of such systems. To achieve this goal at scale, using machine learned models to estimate user preference from user feed ...
Leto:
2016
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;graph mining
We will discuss four partitioning algorithms using eigenvectors, random walks, PageRank and their variations. In particular, we will examine local partitioning algorithms, which find a cut near a specified starting vertex, with a running time that depends on the size of the small side of the cut, ra ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
In this work, we propose a novel recurrent neural network (RNN) architecture. The proposed RNN, gated-feedback RNN (GF-RNN), extends the existing approach of stacking multiple recurrent layers by allowing and controlling signals flowing from upper recurrent layers to lower layers using a global gati ...
Leto:
2015
Vir:
videolectures.net
Ni določena
Oznake:
validacija;metode, analitske;LC-MS;
Leto:
2004
Vir:
Repozitorij Univerze v Ljubljani (RUL)
Izvirni znanstveni članek
Oznake:
stili vodenja;podjetništvo;leadership styles;entrepreneurial orientation;business performance;
The relationship among leadership styles, entrepreneurial orientation, and business performance
Leto:
2008
Vir:
Repozitorij Univerze na Primorskem (RUP)
Izvirni znanstveni članek
Oznake:
venture capital;strategy map;intellectual capital;human capital;relational capital;structure capital;sustainability;content analysis method;
Developing measures of intellectual capital for the venture capital industry in Taiwan
Leto:
2011
Vir:
Repozitorij Univerze na Primorskem (RUP)
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
Given two homogeneous rating matrices with some overlapped users/items whose mappings are unknown, this paper aims at answering two questions. First, can we identify the unknown mapping between the users and/or items? Second, can we further utilize the identified mappings to improve the quality of r ...
Leto:
2014
Vir:
videolectures.net