Search Results - subject:"Recommender System"

Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems

Taraghi, Behnam; Grossegger, Martin; Ebner, Martin; … - In: Online Information Review 37 (2013) 5, pp. 672-691

Purpose – The use of articles from scientific journals is an important part of research-based teaching at universities. The selection of relevant work from among the increasing amount of scientific literature can be problematic; the challenge is to find relevant recommendations, especially when...

Persistent link: https://www.econbiz.de/10014967027

Flexible Prozessunterstützung durch Empfehlungssysteme : Referenzmodell und prototypische Implementierung

Burkhart, Thomas - 2013

Persistent link: https://www.econbiz.de/10013439760

Offering online recommendations to impatient first-time customers with conjoint-based segmentation trees ; Report No. 05-103

De Bruyn, Arnaud; Liechty, John C.; Huizingh, Eelko; … - In: MSI reports : working paper series (2005) 1, pp. 71-84

Persistent link: https://www.econbiz.de/10002830931

E-commerce and web technologies : 6th international conference, EC-Web 2005, Copenhagen, Denmark, August 23 - 26, 2005 ; proceedings

Bauknecht, Kurt (ed.) - 2005

Persistent link: https://www.econbiz.de/10003042094

Information transmission and recommender systems

Ozmen, Deran - 2005

Persistent link: https://www.econbiz.de/10003905694

Semantic Web Recommender System based personalization service for user XQuery pattern

Kim, JinHong; Lee, EunSeok - In: Internet and network economics : first international …, (pp. 848-857). 2005

Persistent link: https://www.econbiz.de/10003343938

Web personalization for e-marketing intelligence

Markellou, Penelope; Rigou, Maria; Sirmakessis, Spiros - 2005

Persistent link: https://www.econbiz.de/10003297593

Automatic Knowledge Recommending System using E-mail

Kim, DooHyun (contributor) - In: E-commerce and web technologies : 6th international …, (pp. 118-127). 2005

Persistent link: https://www.econbiz.de/10003204004

Informing destination recommender systems design and evaluation through quantitative research

Gretzel, Ulrike; Hwang, Yeong‐Hyeon; Fesenmaier, Daniel R. - In: International Journal of Culture, Tourism and … 6 (2012) 4, pp. 297-315

information search and processing strategies that influence interactions with a destination recommender system are identified …. This reveals a great need for data‐driven models to inform recommender system processes. Originality/value – The proposed … concludes that the success of a specific destination recommender system will depend largely on its ability to anticipate and …

Persistent link: https://www.econbiz.de/10014768341

Behavior patterns of online users and the effect on information filtering

Zhang, Cheng-Jun; Zeng, An - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 4, pp. 1822-1830

Understanding the structure and evolution of web-based user-item bipartite networks is an important task since they play a fundamental role in online information filtering. In this paper, we focus on investigating the patterns of online users’ behavior and the effect on recommendation process....

Persistent link: https://www.econbiz.de/10010871825