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» Why we search: visualizing and predicting user behavior
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DEXAW
2000
IEEE
185views Database» more  DEXAW 2000»
14 years 3 days ago
The Aquarium: A Novel User Interface Metaphor for Large, Online Stores
The advent of the Web has brought an unprecedented amount of information together with a large, diverse set of users. Online users are performing a wider variety of tasks than eve...
Doug Bryan, Anatole Gershman
TRECVID
2008
13 years 9 months ago
The MediaMill TRECVID 2008 Semantic Video Search Engine
In this paper we describe our TRECVID 2008 video retrieval experiments. The MediaMill team participated in three tasks: concept detection, automatic search, and interactive search...
Cees G. M. Snoek, Koen E. A. van de Sande, Ork de ...
SIGIR
2008
ACM
13 years 7 months ago
To personalize or not to personalize: modeling queries with variation in user intent
In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of vari...
Jaime Teevan, Susan T. Dumais, Daniel J. Liebling
WSDM
2009
ACM
178views Data Mining» more  WSDM 2009»
14 years 2 months ago
User Browsing Graph: Structure, Evolution and Application
This paper focuses on ‘user browsing graph’ which is constructed with users’ click-through behavior modeled with Web access logs. User browsing graph has recently been adopt...
Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur