In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
The goal of the work in this paper is towards the incorporation of context in recommender systems in the domain of mobile applications. The approach recommends mobile applications...
In contrast to classical databases and IR systems, real-world information systems have to deal increasingly with very vague and diverse structures for information management and s...
Xuan Zhou, Julien Gaugaz, Wolf-Tilo Balke, Wolfgan...
When users combine data from multiple sources into a spreadsheet or dataset, the result is often a mishmash of different formats, since phone numbers, dates, course numbers and ot...
We present Stretch `n' Shrink, a query design framework that explicitly takes into account user preferences about the desired answer size, and subsequently modifies the query...