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Content related to "recommender-system"

(1.7) Recommender System for the Multi-Channel TV Production

This paper presents the concept of content recommendations for the production of multi-channel TV shows. Within the IST FP6 project "LIVE – Live Staging of Media Events" we are developing a production support system which will have a functionality of content recommendations and will support production of multi-channels programs. The paper outlines a concept of a recommender system for the multi-channel TV production and presents basic architecture and workflows within the system. The recommendation of the archive content for a given channel is personalized by taking into account the profile of the target audience.

(1.7) Consumer Recommender and Feed-back demonstrator

The purpose of the iTV demonstrator is to show the possibilities that can be provided by ad-vanced iTV services. The first prototype described in this document is based on the back-ground architecture work developed at the Laboratory for digital signal, image and video processing , University of Ljubljana and on the JAME Author software, which was developed by the Fraunhofer-Institut für Medienkommunikation IMK (FhG). The prototype is used for demonstration of basic functionalities that are interesting for the coming iTV services such as video on demand, automatic recommendation of interesting TV programmes, acquisition of additional data for particular TV programme, etc.

(1.7) Overview of LIVE Work Package 6, Personalisation and Feedback

Public overview of objectives and results of the work package 6, Personalisation and Feedback.

(1) Report on user models and content selection methods (D6.3)

This deliverable presents an overview and current development in the fields of user modelling and content selection within WP6, “Personalisation and Feedback”. The report presents a step towards achieving the two of the main goals of the WP6, namely to develop user models of the LIVE Production Support System and to develop the concept of personalised content recommendations within the iTV staging (production) process.

(1) WP6 Personalisation and Feedback: Status and Plans

Presentation of work carried out within WP6 and future plans. Presented at the PCC in Bradford on December 2007.

(1) Specification of LIVE Recommender system (D6.4)

This deliverable presents the updated specification of the Recommender system, which was developed on the basis of the results presented in the mentioned reports. The specification presented in this document is based on the updated requirements and results of the evaluations of the First Prototype. It represents a specification of the Second Prototype of the Recommender system which will be implemented during second phase of the project (until August 2008) and used and evaluated during field trial Olympic Games 2008.

(1) Recommender System Overview

Document which generally describes Recommender System first prototype services, functionalities and user interfaces.

(1) Recommender System Overview (presentation)

General presentation of Recommender System services, functionalities and user interfaces.

(1) SID4: Production and Consumer Recommendation Systems

This presentation presents consumer and LIVE video production recommender systems. It describes consumer recommendations scenarios and differences between standard production and production with Recommender System. Presented at SID 4 in Salzburg on July 2007.

(1) Recommender System Interfaces and Data Models

This document provides input to the work on interfaces within WP8. It provides first specifi-cation of interfaces of the Recommender System module. The RS interfaces are developed according to the proposed Use cases of the RS, defined in the D6.1. It provides the first speci-fication of the data models used and / or maintained by the RS.

(1) Personalised content search overwiev

Additional information about usage of personalization approaches in LIVE environment.

(1) Overall system and Recommender System

An overview of the achieved system development. Presentation of current ideas for the system as a whole and also for the recommender system module.

(1) WP 6 – Personalization and Feedback

Presentation of possible recommender system usage scenarios in LIVE. Integration of WP9 and WP5 (content description requirements and system specification). Indication of research needed for this integration.

(1) Recommender System: First Specification

Presentation of proposed system design, module structure and functions performed by each module.

(1) Recommender System Interfaces

Discussion of open issues such as input content format, staging workflow, Programme planning tools and user interfaces.

(1) Recommender System Data Models

This specification defines the data models which are used within the Recommender System. First specification on data models of RS was prepared on 10-10-2006, file LIVE_RS_DataModels.xls. Further version of the specification was available in the document LIVE-WP6-TED-Recommender_System_Interfaces-061020.doc.

(1) Recommender System Interfaces

This document provides input to the work on interfaces within WP8. It provides first specifica-tion of interfaces of the Recommender System module. The RS interfaces are developed according to the proposed Use cases of the RS, defined in the D6.1.

(1) Content Recommendation System in the Production of Multi-Channel TV Programs

This paper presents the concept of content recommendations for the production of multi-channel TV shows. Within the 6th Framework project “LIVE – Live Staging of Media Events” [3] we are developing a production support system which will have a functionality of content recommendations and will support production of multi-channels programs. The paper outlines a concept of a multi-channel show and presents a possible workflow scenario on how to use content recommendations in the production. The details of the semantic content annotations are given and an example on computation of personalized recommendation of archive content is presented.

(1) Paper ICEC 2007: A Novel System for Interactive Live TV

In this work we describe our vision of next generation live iTV formats, which consist of a broadcast bouquet of meaningfully interwoven and cross-referencing parallel sub-channels covering a single live event in multi-view or even several concurring live events. At the same time these sub-channels have to serve a diversity of consumer interests and moods. To achieve this future live broadcasting production teams will need both, artistic and conceptual patterns to create such live formats, as well as a maximum technological support to realise such shows in real-time. We describe our developed foundational components of the envisaged system, which according to our approach consist of a set of live staging concepts, a framework for the management of intelligent media assets and a recommender system. Furthermore we argue for the integration of knowledge and sophistication achieved by live audio-visual artists, namely Video Jockeys, who hence participated in our first live staging tests. We conclude with a short description of our next step, the integration of instant consumer feedback, to complete the system for the upcoming field trial during the 2008 Olympics.

(1) First prototype of the Recommender System: Software Documentation (D6.2)

This deliverable serves as an introduction and the user manual of the Recommender System First Prototype, which is a software component developed within the WP6. The goal of this document is to give an introduction to the first prototype of the Recommender System including its requirements and history, and to give an interested reader an explanation on how to use the Recommender System software.

(1) Recommender System User Interface: Scenarios and User interface

Presentation of WP6 scenarios, user interfaces, plans and current development to ORF. Presented at the SID 3 in Sankt Augustin.

(1) Recommender System services: Feedback Collection and Analysis Demo

Presentation of Recommender System Feedback Collection and Analysis service. Presented at the SID 3 in Sankt Augustin.

(1) Recommender System Prototype Review Scenarios

This technical document defines the scenarios for the demonstration of the Recommender system first prototype at the Review meeting at Vienna in March 2007.

(0.7) WP6 Status: User profiles, Feedback Analysis and content recommendations

Presentation of work carried out in WP6 and future work. Work on user modelling, feedback presentation, recommendations and issues and plans within wp6 are presented. Presented on PCC in Ljubljana on October 2007.

(0.7) Personalised content search

An overview of different personalization approaches (content-based, collaborative.based, feedback gathering mechanisms, existing standards). How can this approaches be used in LIVE environment.

(0.7) The evaluation of a hybrid recommender system for recommendation of movies

In this paper we present our approach to generation of movie recommendations. The idea of our hybrid approach is to first separately generate predicted ratings for movies using the contentbased and collaborative recommender modules. Predicted ratings from both recommender engines are then combined into final classification by the hybrid recommender using weighted voting scheme. The basis for the calculations are Pearson’s correlation coefficient, True Bayesian prediction and M5Rules decision rules. The evaluation of the system performance was based on the EachMovie data corpus, for around 7000 users. Preliminary results show that this approach works really well, while there is still some room for improvement.

(0.7) Semantic-based Realization of Novel iTV Formats for the Broadcasting of Media Events (Full Paper)

Broadcasting of media events is a real-time action demanding reliable just in time decisions based on the current content of incoming video streams and the availability of background material. Novel iTV formats for broadcasting this type of event thus demand monitoring of multiple streams and background material. Due to the potentially large amount of streams and other available material, manual monitoring is likely to fail on the long term. We therefore developed an indexing pipeline based on semantic technologies that enables real-time analysis of broadcasted streams and reliable content recommendations of streams and background material based on formal machine understandable descriptions of content. Our approach enables real-time interpretation of broadcasted streams and thus establishes a bridge over the “Semantic Gap” in video analysis.

(0.7) An Analysis of New Feedback Methods for Parallel Multi-Stream Productions

In this work we explore the usage of novel real-time feedback tools in the context of a new iTV production process, developed within the scope of the research project LIVE. The exploration is based on analysis of log-files, observations and interviews captured during a field trial at the Austrian broadcaster ORF. We work out characteristic usage patterns, as well as the broadcaster's and end user's acceptance. In doing so, we give an insight into the possibilities of feedback tools with regard to parallel multi-stream productions.