Foundations and Trends in Information Retrieval最新文献_第5页

LifeLogging: Personal Big Data 生活日志:个人大数据

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2014-06-20 DOI: 10.1561/1500000033

C. Gurrin, A. Smeaton, A. Doherty

引用次数: 406

Computational Advertising: Techniques for Targeting Relevant Ads 计算广告:定位相关广告的技术

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2014-01-01 DOI: 10.1561/1500000045

Kushal S. Dave, Vasudeva Varma

引用次数: 21

Music Information Retrieval: Recent Developments and Applications 音乐信息检索:最新发展与应用

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2014-01-01 DOI: 10.1561/9781601988331

Kushal S. Dave, Vasudeva Varma

引用次数: 0

Information Retrieval for E-Discovery 电子检索的信息检索

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2013-06-28 DOI: 10.1561/1500000025

Douglas W. Oard, William Webber

引用次数: 30

Patent Retrieval 专利检索

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2013-03-11 DOI: 10.1561/1500000027

M. Lupu, A. Hanbury

引用次数: 73

Contextual Search: A Computational Framework 上下文搜索:一个计算框架

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2012-10-08 DOI: 10.1561/1500000023

M. Melucci

引用次数: 41

Expertise Retrieval 专业知识检索

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2012-08-12 DOI: 10.1561/1500000024

K. Balog, Yi Fang, M. de Rijke, P. Serdyukov, Luo Si

{"title":"Expertise Retrieval","authors":"K. Balog, Yi Fang, M. de Rijke, P. Serdyukov, Luo Si","doi":"10.1561/1500000024","DOIUrl":"https://doi.org/10.1561/1500000024","url":null,"abstract":"People have looked for experts since before the advent of computers. With advances in information retrieval technology and the large-scale availability of digital traces of knowledge-related activities, computer systems that can fully automate the process of locating expertise have become a reality. The past decade has witnessed tremendous interest, and a wealth of results, in expertise retrieval as an emerging subdiscipline in information retrieval. This survey highlights advances in models and algorithms relevant to this field. We draw connections among methods proposed in the literature and summarize them in five groups of basic approaches. These serve as the building blocks for more advanced models that arise when we consider a range of content-based factors that may impact the strength of association between a topic and a person. We also discuss practical aspects of building an expert search system and present applications of the technology in other domains, such as blog distillation and entity retrieval. The limitations of current approaches are also pointed out. We end our survey with a set of conjectures on what the future may hold for expertise retrieval research.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"2 1","pages":"127-256"},"PeriodicalIF":10.4,"publicationDate":"2012-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84257898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 227

Information Retrieval on the Blogosphere 博客圈的信息检索

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2012-08-01 DOI: 10.1561/1500000026

Rodrygo L. T. Santos, C. Macdonald, R. McCreadie, I. Ounis, I. Soboroff

{"title":"Information Retrieval on the Blogosphere","authors":"Rodrygo L. T. Santos, C. Macdonald, R. McCreadie, I. Ounis, I. Soboroff","doi":"10.1561/1500000026","DOIUrl":"https://doi.org/10.1561/1500000026","url":null,"abstract":"Blogs have recently emerged as a new open, rapidly evolving and reactive publishing medium on the Web. Rather than managed by a central entity, the content on the blogosphere — the collection of all blogs on the Web — is produced by millions of independent bloggers, who can write about virtually anything. This open publishing paradigm has led to a growing mass of user-generated content on the Web, which can vary tremendously both in format and quality when looked at in isolation, but which can also reveal interesting patterns when observed in aggregation. One field particularly interested in studying how information is produced, consumed, and searched in the blogosphere is information retrieval. In this survey, we review the published literature on searching the blogosphere. In particular, we describe the phenomenon of blogging and the motivations for searching for information on blogs. We cover both the search tasks underlying blog searchers' information needs and the most successful approaches to these tasks. These include blog post and full blog search tasks, as well as blog-aided search tasks, such as trend and market analysis. Finally, we also describe the publicly available resources that support research on searching the blogosphere.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"38 1","pages":"1-125"},"PeriodicalIF":10.4,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76898614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Spoken Content Retrieval: A Survey of Techniques and Technologies 口语内容检索:技术与技术综述

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2012-02-23 DOI: 10.1561/1500000020

M. Larson, G. Jones

引用次数: 81

Federated Search 联邦搜索

IF 10.4 2区计算机科学

Foundations and Trends in Information Retrieval Pub Date : 2011-03-05 DOI: 10.1561/1500000010

Milad Shokouhi, Luo Si

{"title":"Federated Search","authors":"Milad Shokouhi, Luo Si","doi":"10.1561/1500000010","DOIUrl":"https://doi.org/10.1561/1500000010","url":null,"abstract":"Federated search (federated information retrieval or distributed information retrieval) is a technique for searching multiple text collections simultaneously. Queries are submitted to a subset of collections that are most likely to return relevant answers. The results returned by selected collections are integrated and merged into a single list. Federated search is preferred over centralized search alternatives in many environments. For example, commercial search engines such as Google cannot easily index uncrawlable hidden web collections while federated search systems can search the contents of hidden web collections without crawling. In enterprise environments, where each organization maintains an independent search engine, federated search techniques can provide parallel search over multiple collections. \u0000 \u0000There are three major challenges in federated search. For each query, a subset of collections that are most likely to return relevant documents are selected. This creates the collection selection problem. To be able to select suitable collections, federated search systems need to acquire some knowledge about the contents of each collection, creating the collection representation problem. The results returned from the selected collections are merged before the final presentation to the user. This final step is the result merging problem. \u0000 \u0000The goal of this work, is to provide a comprehensive summary of the previous research on the federated search challenges described above.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"30 1","pages":"1-102"},"PeriodicalIF":10.4,"publicationDate":"2011-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77818433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 167