Collexis High Definition Search enables fast, accurate and extraordinary knowledge retrieval and discovery quickly and accurately by utilizing fingerprinting technology. The Collexis Fingerprint empowers users to identify and search for documents, experts, trends, and new discoveries more quickly, precisely – and thoroughly – than conventional search engines. For users, the savings in research dollars are extraordinary. High Definition Search positions Collexis as a world leader in the vital area of knowledge management and discovery software.
Patent von Yahoo Inc. (Antrag 2008, genehmigt 2011)
System, Apparatus and Method to manage contextual based mobile search including vitality information: location of the mobile device, a time of day, an event, information from the mobile user's calendar, past behavior of the mobile user, weather, social networking data, aggregate behaviors, or even information about proximity of a social contact.
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well.
G. Neumann, и B. Sacaleanu. Evaluating Systems for Multilingual and Multimodal Information Access: 4th Workshop of the Cross-Language Evaluation Forum, CLEF 2003, Trondheim, Norway, том 3237 из Lecture Notes in Computer Science, Springer, Berlin, (2004)
P. Knees, T. Pohle, M. Schedl, D. Schnitzer, и K. Seyerlehner. Advances in information retrieval. Proceedings of th 30th European Conference on IR Research, ECIR 2008, стр. 627--631. Heidelberg, Springer, (2008)
E. Jensen, S. Beitzel, O. Frieder, и A. Chowdhury. Special interest tracks and posters of the 14th international conference on World Wide Web, стр. 1176--1177. New York, NY, USA, ACM, (2005)