Haggai Roitman

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We consider a novel problem of top-k query processing under budget constraints. We provide both a framework and a set of algorithms to address this problem. Existing algorithms for top-k processing are budget-oblivious, i.e., they do not take budget constraints into account when making scheduling decisions, but focus on the performance to compute the final(More)
The First Joint International Workshop on Entity-oriented and Semantic Search (JIWES) workshop was held on Aug 16, 2012 in Portland, Oregon, USA, in conjunction with the 35th Annual International ACM SIGIR Conference (SIGIR 2012). The objective for the workshop was to bring together academic researchers and industry practitioners working on entity-oriented(More)
In this paper we describe a novel approach of increasing patients' safety using explanation-driven personalized content recommendation. In this approach, patients are exposed to relevant medical information that is continuously gathered from various web sources and timely delivered, educating patients toward better preventive medicine decision making.(More)
Understanding customer behavior in brick-and-mortar stores and other physical indoor venues is essential for any business aiming to provide a more personal and compelling shopping experience, optimize store layout, and improve store operations. Achieving these goals ultimately leads to improved user experience, conversion rates, and increased revenue.(More)
In this work we present the details of a large scale user profiling framework that we developed here in IBM on top of Apache Hadoop. We address the problem of extracting and maintaining a very large number of user profiles from large scale data. We first describe an efficient user profiling framework with high user profiling quality guarantees. We then(More)
Ontologies, formal specifications of domains, have evolved in recent years as a leading tool in representing and interpreting Web data. The inherent heterogeneity of Web resources, the vast amount of information on the Web, and its non-specific nature requires a semantically rich tool for extracting the essence of Web source content. The OntoBuilder project(More)
We propose to demonstrate an end-to-end framework for leveraging <i>time-sensitive and critical social media information</i> for businesses. More specifically, we focus on identifying, structuring, integrating, and exposing timely insights that are essential to marketing services and monitoring reputation over social media. Our system includes components(More)
Social bookmarking enables knowledge sharing and efficient discovery on the web, where users can collaborate together by tagging documents of interests. A lot of attention was given lately for utilizing social bookmarking data to enhance traditional IR tasks. Yet, much less attention was given to the problem of estimating the effectiveness of an individual(More)
In this paper we describe a novel approach for exploratory search over rich entity-relationship data that utilizes a unique combination of expressive, yet intuitive, query language, faceted search, and graph navigation. We describe an extended faceted search solution which allows to index, search, and browse rich entity-relationship data. We report(More)