Search results for "web"
showing 10 items of 2018 documents
A Collaborative Environment for Service Providing in Cultural Heritage Sites
2004
We present a model which can be used to describe hybrid entities in an augmented reality environment. An architectural description of the model is firstly given. Next, a FIPA-compliant agent description of the model is proposed. Finally the paper discusses an overview and some implementation details of a project dealing with Augmented Reality context aware services in a cultural heritage site. These services are provided based on visitors customized profiles and current position in the site, as revealed by a positioning site implemented with low cost Bluetooth devices (cellular phones, PDAs, USB terminals).
A Hybrid Recommender System for Cultural Heritage Promotion
2021
Assisting users during their cultural trips is paramount in promoting the heritage of a territory. Recommender Systems offer the automatic tools to guide users in their decision process, by maximizing the adherence of the proposed contents with the particular preferences of every single user. However, traditional recommendation paradigms suffer from several drawbacks which are exacerbated in Cultural Heritage scenarios, due to the extremely wide range of users behaviors, which may also depend on their different educational backgrounds. In this paper, we propose a Hybrid recommender system which combines the four most common recommendation paradigms, namely collaborative filtering, popularit…
Key Drivers of Customer Loyalty to Web 2.0 Accommodation Services: An Abstract
2017
Online travel communities are regarded as a key communication channel for web-based marketing in the travel industry (Bilgihan et al. 2016; Filieri 2015). The aim of this paper is to gain insight on key drivers of customer loyalty to websites selling accommodation services in online travel communities. We go beyond satisfaction, taking into account emotions and social influences. This paper intends to make three contributions. Firstly, it develops a conceptual model of the relationships between emotion factors and their direct (satisfaction) and indirect (trust, attitude and loyalty) outcome variables. Secondly, although the linear relationship between satisfaction, trust and loyalty seems …
DBSCAN Algorithm for Document Clustering
2019
Abstract Document clustering is a problem of automatically grouping similar document into categories based on some similarity metrics. Almost all available data, usually on the web, are unclassified so we need powerful clustering algorithms that work with these types of data. All common search engines return a list of pages relevant to the user query. This list needs to be generated fast and as correct as possible. For this type of problems, because the web pages are unclassified, we need powerful clustering algorithms. In this paper we present a clustering algorithm called DBSCAN – Density-Based Spatial Clustering of Applications with Noise – and its limitations on documents (or web pages)…
Two Remarkably Luminous Galaxy Candidates at z ≈ 10-12 Revealed by JWST
2022
The first few 100 Myr at z > 10 mark the last major uncharted epoch in the history of the universe, where only a single galaxy (GN-z11 at z ≈ 11) is currently spectroscopically confirmed. Here we present a search for luminous z > 10 galaxies with JWST/NIRCam photometry spanning ≈1–5 μm and covering 49 arcmin2 from the public JWST Early Release Science programs (CEERS and GLASS). Our most secure candidates are two MUV ≈ −21 systems: GLASS-z12 and GLASS-z10. These galaxies display abrupt ≳1.8 mag breaks in their spectral energy distributions (SEDs), consistent with complete absorption of flux bluewards of Lyα that is redshifted to =+z12.40.3 0.1and=+z10.40.5 0.4. Lower redshift interlopers su…
Computer Vision Tools for 3D Modelling in Archaeology
2013
In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization. Nowadays the continuous request to achieve photorealistic 3D models has led to testing different techniques and methodologies to speed up both data acquisition and the data processing phase. There are many examples of surveys conducted with the use of range-based and image-based techniques, but, in the last few years, the scientific research has been increasingly moving towards automatic procedures using Computer Vision approach to reduce time during data processing. Computer Vision approach offers a great opportunity for archaeological su…
Effectively and efficiently supporting crowd-enabled databases via NoSQL paradigms
2013
In this paper we provide an overview of the Hints From the Crowd (HFC) project, whose main goal is to build a NoSQL database system for large collections of product reviews; the database is queried by expressing a natural language sentence; the result is a list of products ranked based on the relevance of reviews w.r.t. the natural language sentence. The best ranked products in the result list can be seen as the best hints for the user based on crowd opinions (the reviews). The HFC prototype has been developed as a web application, independent of the particular application domain of the collected product reviews. Queries are performed by evaluating a text-based ranking metric for sets of re…
Storm
2003
We present Storm, a storage system which unifies the desktop and the public network, making Web links between desktop documents more practical. Storm assigns each document a permanent unique URI when it is created. Using peer-to-peer technology, we can locate documents even though our URIs do not include location information. Links continue to work unchanged when documents are emailed or published on the network. We have extended KDE to understand Storm URIs. Other systems such as GNU Emacs are able to use Storm through an HTTP gateway.
Cost-Oriented Recommendation Model for E-Commerce
2012
Contemporary Web stores offer a wide range of products to e-customers. However, online sales are strongly dominated by a limited number of bestsellers whereas other, less popular or niche products are stored in inventory for a long time. Thus, they contribute to the problem of frozen capital and high inventory costs. To cope with this problem, we propose using information on product cost in a recommender system for a Web store. We discuss the proposed recommendation model, in which two criteria have been included: a predicted degree of meeting customer’s needs by a product and the product cost.
PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources.
2019
Background Biological databases and repositories are incrementing in diversity and complexity over the years. This rapid expansion of current and new sources of biological knowledge raises serious problems of data accessibility and integration. To handle the growing necessity of unification, CellBase was created as an integrative solution. CellBase provides a centralized NoSQL database containing biological information from different and heterogeneous sources. Access to this information is done through a RESTful web service API, which provides an efficient interface to the data. Results In this work we present PyCellBase, a Python package that provides programmatic access to the rich RESTfu…