Evaluation of contextual information retrieval effectiveness: overview of issues and research

Author:

Tamine-Lechani Lynda,Boughanem Mohand,Daoud Mariam

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference124 articles.

1. Agichtein E, Brill E, Dumais ST (2006) Improving web search ranking by incorporating user behavior information. In: Proceedings of the 29th international SIGIR conference on research and development in information retrieval, pp 19–26

2. Allan J (2002) Challenges in information retrieval and langage modelling. In: Report of a workshop held at the Center for Intelligent Information Retrieval, University of Massachusetts, Amherst

3. Allan J (2003) Hard track overview in trec 2003 high accuracy retrieval from documents. In: Proceedings of the 12th text retrieval conference (TREC-12), National Institute of Standards and Technology, NIST special publication, pp 24–37

4. Anand SS, Mobasher B (2007) Introduction to intelligent techniques for web personalization. ACM Trans Internet Technol 7(4): 18

5. Anderson C, Domingos P, Weld D (2001) Personalizing web sites for mobile users. In: Anderson CR, Domingos P, Weld DS (eds) Personalizing web sites for mobile users. Proceedings of the 10th international WWW conference, pp 565–575

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