@inproceedings{804616f1e5184fceb5b677fec1f5c2fa,
title = "What Do Users Prefer? A Personalized Intelligent User Interface for Searching Information — an Empirical Study",
abstract = "Searching the web for information becomes a tedious task. As a result of any query, the user gets large numbers of responses, most of them irrelevant. Existing search tools fail to cope with this information overload, mainly due to lack of personalization. Current developments emphasize better representation of user interests and dynamic adaptation based on relevance feedback, but personalization is much more then just that. The present study examines the impact of search tools adaptation to their users. A significant preference toward user-oriented search method over the conventional content-based method was found. The results clearly demonstrate the need for self-adapting personalized interfaces as mediators between users and information repositories of all kinds.",
keywords = "user modeling, adaptive user-interface",
author = "Dina Goren-Bar and Tsvi Kuflik and Tali Lavie",
year = "2001",
doi = "10.1145/359784.360119",
language = "English",
isbn = "1581133251",
series = "IUI '01",
publisher = "Association for Computing Machinery",
pages = "65–68",
booktitle = "Proceedings of the 6th International Conference on Intelligent User Interfaces",
}