Naslov
News Article Recommendation Using Artificial Immune System

Autori
Mihaljević, Branko ; Orlić, Marin ; Mlinarić, Hrvoje

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 29th International Convention for Information and Communication Technology, Electronics and Microelectronics - MIPRO 2006, vol. III / Budin, Leo ; Ribarić, Slobodan - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2006, 196-201

Skup
29th International Convention for Information and Communication Technology, Electronics and Microelectronics - MIPRO 2006 - CTS & CIS

Mjesto i datum
Opatija, Hrvatska, 22.05.2006. - 26.05.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Artificial Immune System; Danger Theory; Recommender System

Sažetak
Artificial immune system is a suitable paradigm for solving recommendation problem. Danger theory is a novel context dependant response theory explaining how immune system responds to pathogens through immunological cells reactions. This paper addresses construction of a news article recommender system model based on artificial immune system combined with Danger theory. Proposed system architecture is applicable to web portal content recommendation problem with respect to implicit user activity tracking, honoring evolving user interests. System model is adapted to news article recommendation, enabling passive delivery of personalized recommendation list presenting articles with interesting topics.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA