Relevance Ranking For Vertical Search Engines

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

In "The Future of Search Engines," I continue the investigation I began in my previous work, "The Search Engine Revolution," providing a detailed forecast of what lies ahead. In this book, I explore how search engines will evolve in the future, drawing on my track record of predicting technological advancements. My predictions are not just guesses; they're based on current trends and supported by real-world evidence that has consistently proven accurate. For example, I warned last year about the risks of relying too heavily on AI-generated content for SEO and digital marketing, a caution that has been validated by subsequent updates to Google's algorithms favoring human-generated content. Picture a fleet of sleek, voice-controlled search drones elegantly maneuvering through the physical world, ready to quickly gather information and respond to user queries with remarkable efficiency. This isn't just a fantasy; it's a compelling vision of where search technology is headed. These search drones represent a significant shift, seamlessly connecting the digital world with physical reality. Imagine strolling through a bustling city, curious about the history of a famous landmark. With a simple voice command, a nearby drone swoops in, providing a wealth of information instantly. From historical facts to real-time updates, these drones redefine how we access information about our surroundings, essentially turning the world into a readily available database of knowledge. It's important to note that by "drones," I mean smaller, drone-like devices, not the larger drones commonly used today. But why limit our search endeavors to Earth? The future of exploration reaches far beyond our planet. There's speculation about search networks expanding into space, allowing us to explore the mysteries of distant galaxies. As humanity's desire for discovery drives us toward the stars, these networks have the potential to unravel the universe's secrets. Imagine a future where communication with extraterrestrial beings is possible, enabling the exchange of knowledge across vast cosmic distances. I delve into this concept further in my books "The Cosmos" and "Searching for Aliens on Earth and in the Cosmos." While some contemporary scientists may argue for humanity's uniqueness in the universe, the future could offer a different perspective. Remember how Galileo's support for the heliocentric model challenged the prevailing belief in a geocentric universe, leading to his condemnation by the Inquisition. It serves as a reminder that anything is possible. This exciting prospect sparks our imagination and fuels our unending quest for knowledge. At the core of these visionary concepts lies an unwavering commitment to progress. Technological advancements continue to dazzle, offering increasingly sophisticated tools for information retrieval. From AI-powered computing to advanced data analysis, our arsenal of search capabilities has never been more potent. Yet, perhaps the most remarkable aspect of this technological revolution is its inherent simplicity. Gone are the days of cumbersome search engines and endless scrolling; searching becomes intuitive and seamless, seamlessly woven into the fabric of our daily lives. Looking forward, one thing remains abundantly clear: the boundless potential of search technology knows no bounds. It's a journey fueled by innovation, curiosity, and an unwavering determination to unearth answers. So, as we venture forth into uncharted territory, let's embrace the notion that this is just the beginning. With each groundbreaking idea and monumental stride, we edge closer to a future where finding answers is as effortless as posing a question. I hope you enjoy reading this book.

This book provides a broad introduction to search engines by integrating five different perspectives on Web search and search engines that are usually dealt with separately: the technical perspective, the user perspective, the internet-based research perspective, the economic perspective, and the societal perspective. After a general introduction to the topic, two foundational chapters present how search tools can cover the Web’s content and how search engines achieve this by crawling and processing the found documents. The next chapter on user behavior covers how people phrase their search queries and interact with search engines. This knowledge builds the foundation for describing how results are ranked and presented. The following three chapters then deal with the economic side of search engines, i.e., Google and the search engine market, search engine optimization (SEO), and the intermingling of organic and sponsored search results. Next, the chapter on search skills presents techniques for improving searches through advanced search interfaces and commands. Following that, the Deep Web and how its content can be accessed is explained. The two subsequent chapters cover ways to improve the quality of search results, while the next chapter describes how to access the Deep Web. Last but not least, the following chapter deals with the societal role of search engines before the final chapter concludes the book with an outlook on the future of Web search. With this book, students and professionals in disciplines like computer science, online marketing, or library and information science will learn how search engines work, what their main shortcomings are at present, and what prospects there are for their further development. The different views presented will help them to understand not only the basic technologies but also the implications the current implementations have concerning economic exploitation and societal impact.

This book presents a systematic study of practices and theories for query understanding of search engines. These studies can be categorized into three major classes. The first class is to figure out what the searcher wants by extracting semantic meaning from the searcher’s keywords, such as query classification, query tagging, and query intent understanding. The second class is to analyze search queries and then translate them into an enhanced query that can produce better search results, such as query spelling correction or query rewriting. The third class is to assist users in refining or suggesting queries in order to reduce users’ search effort and satisfy their information needs, such as query auto-completion and query suggestion. Query understanding is a fundamental part of search engines. It is responsible to precisely infer the intent of the query formulated by the search user, to correct spelling errors in his/her query, to reformulate the query to capture its intent more accurately, and to guide the user in formulating a query with precise intent. The book will be invaluable to researchers and graduate students in computer or information science and specializing in information retrieval or web-based systems, as well as to researchers and programmers working on the development or improvement of products related to search engines.

With the rapid growth of World Wide Web, the focus of Web revolution has been shifted from wide availability of information to the need for better and more accurate search capability. Effective access to the Web resources is a challenging problem that in recent years has gained a lot of attention from researchers in the area of Information Retrieval on the World Wide Web. Search engines retrieve the Web pages that users are searching for. However, traditional information retrieval techniques fall short in dealing with the immense amount of unstructured information on the Web, often returning far more Web pages than can feasibly be read. Several studies showed that most users are looking only at the first pages of the results. Thus, provision of relevant results within the first pages of results is crucial, requiring accurate relevance ranking. The goal of this research is to contribute toward more accurate relevance ranking of search engine output. This dissertation seeks to improve topic distillation (search engine ranking) through the use of co-citation, and network analysis methods for identifying highly relevant results amongst search engine output. This research proposes a framework to assess Web page relevance where 'result set hyperlink structure' is acting as a mediating construct. Various centrality measures, and clique overlap, based on Inter and Intra co-citation networks, are introduced as measures to predict Web page relevance. While these results need to be extended with more detailed analysis of a wide range of queries and topics, they suggest that network analysis of search output structure (where adjacency/proximity is based on Intra co-citations) may significantly improve topic distillation by search engines. The results of studies conducted in this research reveal that both individual network analytic measures and a linear combination of them have significantly better average judged relevance amongst their top 20 results as compared to Google. The experiments show that there is a relation between the overall structure of search results and the effectiveness of the proposed relevance prediction model. Also, humans tend to have higher level of agreement for their relevancy judgments in networks with more homogenous structures (network centralization).

This Special Issue book focuses on the theory and practice of search engine optimization (SEO). It is intended for anyone who publishes content online and it includes five peer-reviewed papers from various researchers. More specifically, the book includes theoretical and case study contributions which review and synthesize important aspects, including, but not limited to, the following themes: theory of SEO, different types of SEO, SEO criteria evaluation, search engine algorithms, social media and SEO, and SEO applications in various industries, as well as SEO on media websites. The book aims to give a better understanding of the importance of SEO in the current state of the Internet and online information search. Even though SEO is widely used by marketing practitioners, there is a relatively small amount of academic research that systematically attempts to capture this phenomenon and its impact across different industries. Thus, this collection of studies offers useful insights, as well as a valuable resource that intends to open the door for future SEO-related research.

The reference will discuss mass media around the world in their varied forms—newspapers, magazines, radio, television, film, books, music, websites, and social media—and will describe the role of each in both mirroring and shaping society.

Provides an understanding of Web search engines from the unique perspective of Library and Information Science. This book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, and the influence of search engine optimization (SEO) on results quality.

The Internet has enabled the convergence of all things information-related. This book provides essential, foundational knowledge of the application of Internet and web technologies in the information and library professions. Internet Technologies and Information Services: Second Edition is a vital asset to students preparing for careers in library and information science and provides expanded coverage to important new developments while still covering Internet foundations. In addition to networking, the Internet, HTML, web design, web programming, XML, and web searching, this new edition covers additional topics such as cloud computing, content management systems, eBook technologies, mobile technologies and applications, relational database management systems (RDMS), open source software, and virtual private networking. It also provides information on virtualization and related systems, including desktop virtualization systems. With clear and simple explanations, the book helps students form a solid, basic IT knowledge that prepares them for more advanced studies in technology. It supplies an introductory history of the Internet and an examination of current trends with specific emphasis on how online information access affects the LIS fields. Author Joseph B. Miller, MSLS, explains Internet protocols and current broadband connectivity options; Internet security issues and steps to take to block threats; building the web with markup languages, programming, and content management systems; and elements of information access on the web: content formats, information retrieval, and Internet search.