In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals. Foreword by Ron Brachman, Chief Scientist and Head, Yahoo! Labs Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results Covers concepts and theories from the fundamental to the advanced Discusses the state of the art: development of theories and practices in vertical search ranking applications Includes detailed examples, case studies and real-world situations
China's ruling party has begun opening up and has sent some its brightest youth to study in America. Chang Min Yi, an idealistic Communist, has come to Boston University to earn a doctorate in economics, thinking to defeat his decadent western economic rival in his own marketplace. But America doesn't conform to his preconceived notions. Strangest of all are the Christians and the unusual faith that guides their lives. The Million Mile Journey of Chang Min Yi tells of the spiritual journey of a sincere young man who wasn't even searching for the answers to life's most important questions. But then God called him...long distance.
Includes statistics on urban and rural population, national income, agricultural and industrial production, numbers of households and workers, price index, numbers of overseas Chinese, and so forth.
Transfer Learning: Algorithms and Applications presents an in-depth discussion on practices for transfer learning, exploring emerging fields that includes a theoretical analysis of various algorithms and problems that lay a solid foundation for future advances in the field. In the era of Big Data, machine learning methods are widely used in natural language processing, computer vision, speech, and in signal processing communities. However, the current standard machine learning techniques, such as supervised classifiers, tend to fail when the data distribution and/or structure changes over training and test settings. Current techniques addressing machine learning problems can only address a few isolated tasks at one time. Transfer learning, adapted from how humans learn, models the distribution and structure difference between training and test settings. Introduces transfer learning with a systematic approach, discussing theory and providing applications, including but not limited to, image classification, natural language techniques, medicine, and web search ranking techniques Provides a state-of-the-art overview of the most recent developments in transfer learning, including unsupervised, supervised, and semi-supervised transfer learning, multitask learning, domain similarity estimation, and the applications of transfer learning Presents relevant algorithms with detailed discussions, including background, derivation, and comparisons Discusses extensive experimental results using real application datasets to demonstrate the performance of various algorithms
This authoritative and extensively illustrated text provides a complete overview of Chinese moxibustion techniques and methods, including contraindications and treatments for a wide range of conditions. It covers the fundamentals of theory as well as the skills and techniques practitioners need, all of which are photographically illustrated.
This book presents a novel multilevel full-chip router, namely mSIGMA for SIGnal-integrity and MAnufacturability optimization. These routing technologies will ensure faster time-to-market and time-to-profitability. The book includes a detailed description on the modern VLSI routing problems, and multilevel optimization on routing design to solve the chip complexity problem.
Narrated in the first person, Meeting with My Brother tells the story of a professor's journey to meet with his younger half-brother from North Korea. The professor's father had left his family behind in the South during the Korean War and eventually had another family in the North. The story includes the professor's negotiations with the go-between who arranges the meeting, his participation in a tour group (the necessary excuse to travel to the area in China where the meeting takes place), his interaction with other tour members and Koreans living in the area, and finally his meeting with his brother. The story includes different positions on reunification and illuminates many of the reasons that make reunification difficult. In this new translation the author has added a new vignette that does not appear in the original.
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