Pregled bibliografske jedinice broj: 570500
Forecasting Consumer Interest in New Services using Semantic-aware Prediction Model: the Case of YouTube Clip Popularity
Forecasting Consumer Interest in New Services using Semantic-aware Prediction Model: the Case of YouTube Clip Popularity // Lecture Notes in Computer Science, 7327 (2012), 454-463 doi:10.1007/978-3-642-30947-2_50 (međunarodna recenzija, članak, znanstveni)
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Naslov
Forecasting Consumer Interest in New Services using Semantic-aware Prediction Model: the Case of YouTube Clip Popularity
Autori
Vrdoljak, Luka ; Podobnik, Vedran ; Ježić, Gordan
Izvornik
Lecture Notes in Computer Science (0302-9743) 7327
(2012);
454-463
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Consumer Relationship Management ; Consumer Managed Relationship ; Forecasting ; Growth Models ; Semantic Reasoning ; YouTube
Sažetak
With intense increase in number of competing service providers in the information and communication sector, companies must implement mechanisms for forecasting consumer interest in new services. Common growth models provide the mechanisms for modelling and predicting acceptance of a certain service. However, they have two shortcomings: i) limited precision ; and ii) a short, but yet existing, time delay. By using semantic reasoning for detecting similarities between services already on a market and ones that are just to be introduced, it is possible both to increase forecasting precision and eliminate the time delay caused by the need to collect a certain amount of data about the new service before a prediction can be made. The proposed semanticaware prediction model is elaborated on a case of forecasting YouTube clip popularity.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Ekonomija
POVEZANOST RADA
Projekti:
036-0362027-1639 - Isporuka sadržaja i pokretljivost korisnika i usluga u mrežama nove generacije (Matijašević, Maja, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
Uključenost u ostale bibliografske baze podataka::
- INSPEC
- Zentrallblatt für Mathematik/Mathematical Abstracts
- SpringerLink
- DBLP
- SCOPUS