Sources

Maciek (Scholarly journal articles)
 * "**An inner-enterprise knowledge recommender system **" Lu Zhen a, George Q. Huang, Zuhua Jiang
 * "**Incentivized provision of metadata, semantic reasoning and time-driven filtering: Making a puzzle of personalized e-commerce **" Yolanda Blanco-Fernández, José J. Pazos-Arias, Martín López-Nores, Alberto Gil-Solla, Manuel Ramos-Cabrer, Jorge García-Duque, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo
 * "**Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions ** " Gediminas Adomavicius and Alexander Tuzhilin

Terry (scholarly journal articles)
 * Combination of web page recommender systems.Murat Göksedef; Şule Gündüz-Öğüdücü
 * Design guidelines for effective recommender system interfaces based on a usability criteria conceptual model: results from a college student population. A. Ant Ozok a; Quyin Fan a; Anthony F. Norcio
 * Using contextual information and multidimensional approach for recommendation . Sung-Shun Weng; Binshan Lin; Wen-Tien Chen
 * A query expansion and user profile enrichment approach to improve the performance of recommender systems operating on folksonomy. Pasquale De Meo, Giovanni Quattrone, Domenico Ursino.
 * Recommender system based on workflow. Lu Zhen, George Q. Huang, Zuhua Jiang

Jessie - from __Personalization Techniques and Recommender Systems__, edited by Gulden Uchyigit and Matthew Ma
 * 1) "Personalization Strategies and Semantic Reasoning: Working in Tandem in Advanced Recommender Systems" by Y. Blanco-Fernández et al
 * 2) "Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device" by J. Zhu, M. Y. Ma, J. K. Guo, and Z. Wang
 * 3) "User Acceptance of Knowledge-based Recommenders" by A. Felfernig, E. Teppan, and B. Gula
 * 4) "Using Restricted Random Walks for Library Recommendations and Knowledge Space Exploration" by M. Franke and A. Geyer-Schulz
 * 5) "An Experimental Study of Feature Selection Methods for Text Classification" by G. Uchyigit and K. Clark

Dany - this is what I have
 * Recommender systems for information providers - by Andreas Newman
 * Shopbot 2.0: Integrating recommendations and promotions with comparison shopping
 * E-commerce recommendation applications - Schaffer, Constan and Riedl
 * blockbuster culture: next rise and fall
 * a scalable P2P recommender system based on distributed collaborative filtering

Maja (Journal articles)


 * "A Market-Based Approach to Recommend-er Systems ."by Wei, Yan ZHENG; Moreau, Luc; Jennings & Nicholas R
 * "Feature-based recommendations for one-to-one marketing." by Weng,Sung-Shun ; Liu, Mei-JuExpert
 * "Commodity recommendations of retail business based on decision tree induction." by Lee, Shao-Lun
 * "A multi-disciplinar recommend-er system to advice research resources in University Digital Libraries." by Porcel,C.; Moreno, J.M.& Herrera-Viedma,E.
 * “On exploiting classification taxonomies in recommender systems.” by Ziegler, Cai-Nicolas; Lausen, Georg & Konstan, Joseph A.