Titlebook: E-Commerce and Web Technologies; 7th International Co Kurt Bauknecht,Birgit Pr?ll,Hannes Werthner Conference proceedings 2006 Springer-Verl

馬賽克

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/300065.jpg

災禍

https://doi.org/10.1007/11823865Mobile Commerce; Recommender Systems; business process; e-commerce; electronic commerce; search engine ma

AMITY

978-3-540-37743-6Springer-Verlag Berlin Heidelberg 2006

殘酷的地方

小平面

Web User Segmentation Based on a Mixture of Factor Analyzersramework, we model users’ shared interests as a set of common latent factors extracted through factor analysis, and we discover user segments based on the posterior component distribution of a finite mixture model. This allows us to measure the relationships between users’ unobserved conceptual inte

diskitis

A Hybrid Similarity Concept for Browsing Semi-structured Product Itemsts. Similarity is an important underlying concept for the above techniques. Depending on the representation mechanism of information items different similarity approaches have been established in the fields of information retrieval and case-based reasoning. However, many times product descriptions c

火花

seduce

Enhanced Prediction Algorithm for Item-Based Collaborative Filtering Recommendation offered by the infrastructure. Collaborative Filtering recommender system, one of the most representative systems for personalized recommendations in E-commerce on the Web, is a system assisting users in easily finding the useful information. But traditional collaborative filtering suffers some wea

dominant

Persuasive Online-Selling in Quality and Taste Domainsucts require on the one side persuasive Web presentation and on the other side deep product knowledge. In that context recommender applications may help to create an enjoyable shopping experience for online users. The Advisor Suite framework is a knowledge-based conversational recommender system tha

exhibit