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In this paper we present a prototype for capturing retail related consumer intent using multiple devices and in multimodal input formats such as text, audio, and still images. The prototype was used in a longitudinal user study to analyze the process that consumers go through in order to make purchasing decisions. Based on these findings, we recommend(More)
We propose to deploy and exploit a large number of inexpensive sensors to obtain information or trigger actions over a wide geographic area. Sensors may be of diverse physical natures: acoustic , IR, seismic, chemical, magnetic, thermal, etc. We describe here three major issues: (1) sensor distribution patterns, (2) local sensor frames, and (3) autonomous(More)
The rise of Web 2.0 with its increasingly popular social sites like Twitter, Facebook, blogs and review sites has motivated people to express their opinions publicly and more frequently than ever before. This has fueled the emerging field known as sentiment analysis whose goal is to translate the vagaries of human emotion into hard data. LCI is a social(More)
In this paper we describe techniques for the discovery and construction of user profiles. Leveraging from the emergent data web, our system addresses the problem of sparseness of user profile information currently faced by both asserted and inferred profile systems. A profile mediator, that dynamically builds the most suitable user profile for a particular(More)
In this paper we describe an exploratory study of a mobile cosmetic advisory system that enables women to select appropriate colors of cosmetics. This system is intended for commercial use to address the problem of foundation color selection. Although women are primarily responsible for making most purchasing decisions in the US, we found very few studies(More)