Search Result Diversification PDF Download
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Author | : Santos Rodrygo L T |
Publisher | : Now Publishers |
Total Pages | : 108 |
Release | : 2015-02-27 |
Genre | : Computers |
ISBN | : 9781680830002 |
Download Search Result Diversification Book in PDF, ePub and Kindle
This primer reviews the published literature on search result diversification. In particular, it discusses the motivations for diversifying the search results for an ambiguous query and provides a formal definition of the search result diversification problem. In addition, it describes the most successful approaches in the literature for producing and evaluating diversity in multiple search domains.
Author | : Rodrygo L. T. Santos |
Publisher | : |
Total Pages | : 90 |
Release | : 2015 |
Genre | : Internet searching |
ISBN | : 9781680830019 |
Download Search Result Diversification Book in PDF, ePub and Kindle
Ranking in information retrieval has been traditionally approached as a pursuit of relevant information, under the assumption that the users' information needs are unambiguously conveyed by their submitted queries. Nevertheless, as an inherently limited representation of a more complex information need, every query can arguably be considered ambiguous to some extent. In order to tackle query ambiguity, search result diversification approaches have recently been proposed to produce rankings aimed to satisfy the multiple possible information needs underlying a query. In this survey, we review the published literature on search result diversification. In particular, we discuss the motivations for diversifying the search results for an ambiguous query and provide a formal definition of the search result diversification problem. In addition, we describe the most successful approaches in the literature for producing and evaluating diversity in multiple search domains. Finally, we also discuss recent advances as well as open research directions in the field of search result diversification.
Author | : Van B. Dang |
Publisher | : |
Total Pages | : 158 |
Release | : 2014 |
Genre | : Database searching |
ISBN | : |
Download A Proportionality-based Approach to Search Result Diversification Book in PDF, ePub and Kindle
Search result diversification addresses the problem of queries with unclear information needs. The aim of using diversification techniques is to find a ranking of documents that covers multiple possible interpretations, aspects, or topics for a given query. By explicitly providing diversity in search results, this approach can increase the likelihood that users will find documents relevant to their specific intent, thereby improving effectiveness. This dissertation introduces a new perspective on diversity: diversity by proportionality. We consider a result list more diverse, with respect to some set of topics related to the query, when the ratio between the number of relevant documents it provides for each of these topics matches more closely with the topic popularity distribution. Consequently, we derive an effectiveness measure based on proportionality and propose a new framework for optimizing proportionality in search results, which we show to be more effective than existing techniques. Diversification would be impractical without the ability to automatically infer the set of topics associated with the user queries. Therefore, we study cluster-based techniques for generating these topics from publicly available data sources. Based on the challenges that we observe with topic generation, we present a simplified term-based representation for query topics. Specifically, we propose to identify for each query a single set of terms that describes its topics. This set is provided to a diversification technique which in effect treats each of the terms as a topic to determine coverage in the search results. We call this approach term level diversification and we show that it can promote diversity with respect to the topics underlying the input terms. This simplifies the task of finding a set of query topics, which has proven difficult, to finding only a set of terms. We also present a technique as well as several data sources for generating these terms effectively.
Author | : Dirk Lewandowski |
Publisher | : Emerald Group Publishing |
Total Pages | : 337 |
Release | : 2012-04-19 |
Genre | : Language Arts & Disciplines |
ISBN | : 1780526377 |
Download Web Search Engine Research Book in PDF, ePub and Kindle
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.
Author | : Francois-Serge Lhabitant |
Publisher | : Elsevier |
Total Pages | : 276 |
Release | : 2017-09-26 |
Genre | : Mathematics |
ISBN | : 0081017863 |
Download Portfolio Diversification Book in PDF, ePub and Kindle
Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book, readers will find a comprehensive introduction and analysis of various dimensions of portfolio diversification (assets, maturities, industries, countries, etc.), along with time diversification strategies (long term vs. short term diversification) and diversification using other risk measures than variance. Several tools to quantify and implement optimal diversification are discussed and illustrated. Focuses on portfolio diversification across all its dimensions Includes recent empirical material that was created and developed specifically for this book Provides several tools to quantify and implement optimal diversification
Author | : Donna Harman |
Publisher | : Springer Nature |
Total Pages | : 107 |
Release | : 2022-05-31 |
Genre | : Computers |
ISBN | : 3031022769 |
Download Information Retrieval Evaluation Book in PDF, ePub and Kindle
Evaluation has always played a major role in information retrieval, with the early pioneers such as Cyril Cleverdon and Gerard Salton laying the foundations for most of the evaluation methodologies in use today. The retrieval community has been extremely fortunate to have such a well-grounded evaluation paradigm during a period when most of the human language technologies were just developing. This lecture has the goal of explaining where these evaluation methodologies came from and how they have continued to adapt to the vastly changed environment in the search engine world today. The lecture starts with a discussion of the early evaluation of information retrieval systems, starting with the Cranfield testing in the early 1960s, continuing with the Lancaster "user" study for MEDLARS, and presenting the various test collection investigations by the SMART project and by groups in Britain. The emphasis in this chapter is on the how and the why of the various methodologies developed. The second chapter covers the more recent "batch" evaluations, examining the methodologies used in the various open evaluation campaigns such as TREC, NTCIR (emphasis on Asian languages), CLEF (emphasis on European languages), INEX (emphasis on semi-structured data), etc. Here again the focus is on the how and why, and in particular on the evolving of the older evaluation methodologies to handle new information access techniques. This includes how the test collection techniques were modified and how the metrics were changed to better reflect operational environments. The final chapters look at evaluation issues in user studies -- the interactive part of information retrieval, including a look at the search log studies mainly done by the commercial search engines. Here the goal is to show, via case studies, how the high-level issues of experimental design affect the final evaluations. Table of Contents: Introduction and Early History / "Batch" Evaluation Since 1992 / Interactive Evaluation / Conclusion
Author | : Alex Kulesza |
Publisher | : Now Pub |
Total Pages | : 178 |
Release | : 2012-11-29 |
Genre | : Computers |
ISBN | : 9781601986283 |
Download Determinantal Point Processes for Machine Learning Book in PDF, ePub and Kindle
This monograph provides a comprehensible introduction to DPPs, focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community.
Author | : Shin'ichi Satoh |
Publisher | : Springer |
Total Pages | : 414 |
Release | : 2020-10-15 |
Genre | : Computers |
ISBN | : 9783030609351 |
Download Similarity Search and Applications Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pandemic. The 19 full papers presented together with 12 short and 2 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality; clustering; artificial intelligence and similarity; demo and position papers; and doctoral symposium.
Author | : Fran Meissner |
Publisher | : Routledge |
Total Pages | : 139 |
Release | : 2017-10-02 |
Genre | : Social Science |
ISBN | : 131741828X |
Download Comparing Super-Diversity Book in PDF, ePub and Kindle
The concept of ‘super-diversity’ has received considerable attention since it was introduced in Ethnic and Racial Studies in 2007, reflecting a broadening interest in finding new ways to talk about contemporary social complexity. This book brings together a collection of essays which empirically and theoretically examine super-diversity and the multi-dimensional shifts in migration patterns to which the notion refers. These shifts entail a worldwide diversification of migration channels, differentiations of legal statuses, diverging patterns of gender and age, and variance in migrants’ human capital. Across the contributions, super-diversity is subject to two modes of comparison: (a) side-by-side studies contrasting different places and emergent conditions of super-diversity; and (b) juxtaposed arguments that have differentially found use in utilizing or criticizing ‘super-diversity’ descriptively, methodologically or with reference to policy and public practice. The contributions discuss super-diversity and its implications in nine cities located in eight countries and four continents. This book was originally published as a special issue of Ethnic and Racial Studies.
Author | : |
Publisher | : |
Total Pages | : 325 |
Release | : 2020-08-18 |
Genre | : |
ISBN | : 9781949373943 |
Download Strategic Management (color) Book in PDF, ePub and Kindle
Strategic Management (2020) is a 325-page open educational resource designed as an introduction to the key topics and themes of strategic management. The open textbook is intended for a senior capstone course in an undergraduate business program and suitable for a wide range of undergraduate business students including those majoring in marketing, management, business administration, accounting, finance, real estate, business information technology, and hospitality and tourism. The text presents examples of familiar companies and personalities to illustrate the different strategies used by today's firms and how they go about implementing those strategies. It includes case studies, end of section key takeaways, exercises, and links to external videos, and an end-of-book glossary. The text is ideal for courses which focus on how organizations operate at the strategic level to be successful. Students will learn how to conduct case analyses, measure organizational performance, and conduct external and internal analyses.