: This talk describes a research project exploring new ways for augmenting search using multiple types and sources of social information. Our goal is to allow searching for all obj...
Einat Amitay, David Carmel, Nadav Har'El, Shila Of...
We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharing Web sites such as Flickr. W...
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
In the past, some researches suggested that engineers can use combined software reliability growth models (SRGMs) to obtain more accurate reliability prediction during testing. In...
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
This paper presents a novel game-like advertising system called GameSense, which is driven by the compelling contents of online images. Given a Web page which typically contains i...
This paper presents a near real-time multilingual news monitoring and analysis system that forms the backbone of our research work. The system integrates technologies to address t...
In this poster, we present a novel P2P (Peer to Peer) based distributed services network (DSN), which is a next generation operable and manageable distributed core network archite...
Yang Li, Yi-Chuan Wu, Jian-Ying Zhang, Jin Peng, H...
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach t...
This paper presents an end-user-oriented programming environment called Mashroom. Major contributions herein include an end-user programming model with an expressive data structur...