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A multi-agent brokerage platform for media content recommendation

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Tytuł: A multi-agent brokerage platform for media content recommendation

Autor:

Veloso, Bruno ; Malheiro, Benedita ; Burguillo, Juan Carlos

Typ zasobu:

artykuł

Współtwórca:

Byrski, Aleksander - ed. ; Kisiel-Dorohinicki, Marek - ed. ; Dobrowolski, Grzegorz - ed.

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, Volume 25 (2015)

Abstract:

Near real time media content personalisation is nowadays a major challenge involving media content sources, distributors and viewers. This paper describes an approach to seamless recommendation, negotiation and transaction of personalised media content. It adopts an integrated view of the problem by proposing, on the business-to-business (B2B) side, a brokerage platform to negotiate the media items on behalf of the media content distributors and sources, providing viewers, on the business-to-consumer (B2C) side, with a personalised electronic programme guide (EPG) containing the set of recommended items after negotiation. ; In this setup, when a viewer connects, the distributor looks up and invites sources to negotiate the contents of the viewer personal EPG. The proposed multi-agent brokerage platform is structured in four layers, modelling the registration, service agreement, partner lookup, invitation as well as item recommendation, negotiation and transaction stages of the B2B processes. The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters. ; The rule-based system selects, at runtime, the filter(s) to apply as well as the final set of recommendations to present. The filter selection is based on the data available, ranging from the history of items watched to the ratings and/or tags assigned to the items by the viewer. Additionally, this module implements (i) a novel item stereotype to represent newly arrived items, (ii) a standard user stereotype for new users, (iii) a novel passive user tag cloud stereotype for socially passive users, and (iv) a new content-based filter named the collinearity and proximity similarity (CPS). ; At the end of the paper, we present off-line results and a case study describing how the recommendation service works. The proposed system provides, to our knowledge, an excellent holistic solution to the problem of recommending multimedia contents.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:79065

DOI:

10.1515/amcs-2015-0038

Strony:

513-527

Źródło:

AMCS, volume 25, number 3 (2015) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Temat i słowa kluczowe:

multi-agent computing brokerage platform media content personalisation recommendation

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

2024-05-02

Data dodania obiektu:

2024-05-02

Liczba wyświetleń treści obiektu:

40

Wszystkie dostępne wersje tego obiektu:

https://zbc.uz.zgora.pl/repozytorium/publication/88897

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Nazwa wydania Data
A multi-agent brokerage platform for media content recommendation 2024-05-02

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Adres

Biblioteka Uniwersytetu Zielonogórskiego
al. Wojska Polskiego 71
65-762 Zielona Góra

Telefon

(+48) 68 328 21 55

E-Mail

repozytorium@uz.zgora.pl

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