{"title":"Temporal Information Retrieval","authors":"KanhabuaNattiya, BlancoRoi, NørvågKjetil","doi":"10.1007/springerreference_65900","DOIUrl":"https://doi.org/10.1007/springerreference_65900","url":null,"abstract":"","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"1 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52982468","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}
{"title":"Search Result Diversification","authors":"Rodrygo L. T. Santos, C. Macdonald, I. Ounis","doi":"10.1561/1500000040","DOIUrl":"https://doi.org/10.1561/1500000040","url":null,"abstract":"Ranking in information retrieval has been traditionally approachedas a pursuit of relevant information, under the assumption that theusers' information needs are unambiguously conveyed by their submittedqueries. Nevertheless, as an inherently limited representation of amore complex information need, every query can arguably be consideredambiguous to some extent. In order to tackle query ambiguity,search result diversification approaches have recently been proposed toproduce rankings aimed to satisfy the multiple possible informationneeds underlying a query. In this survey, we review the published literatureon search result diversification. In particular, we discuss themotivations for diversifying the search results for an ambiguous queryand provide a formal definition of the search result diversification problem.In addition, we describe the most successful approaches in theliterature for producing and evaluating diversity in multiple search domains.Finally, we also discuss recent advances as well as open researchdirections in the field of search result diversification.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"55 1","pages":"1-90"},"PeriodicalIF":10.4,"publicationDate":"2015-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90741623","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}
{"title":"Search Result Diversification","authors":"Nattiya Kanhabua, Roi Blanco, K. Nørvåg","doi":"10.1561/1500000043","DOIUrl":"https://doi.org/10.1561/1500000043","url":null,"abstract":"","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"9 1","pages":"91-208"},"PeriodicalIF":10.4,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1561/1500000043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081922","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}
{"title":"Music Information Retrieval: Recent Developments and Applications","authors":"M. Schedl, E. Gómez, Julián Urbano","doi":"10.1561/1500000042","DOIUrl":"https://doi.org/10.1561/1500000042","url":null,"abstract":"We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification (\"query by example\"). Subsequently, we review current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. Eventually, a discussion about the major open challenges concludes the survey.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"22 1","pages":"127-261"},"PeriodicalIF":10.4,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83916735","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}
{"title":"LifeLogging: Personal Big Data","authors":"C. Gurrin, A. Smeaton, A. Doherty","doi":"10.1561/1500000033","DOIUrl":"https://doi.org/10.1561/1500000033","url":null,"abstract":"We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment. This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety of tasks. This review aims to provide a comprehensive summary of lifelogging, to cover its research history, current technologies, and applications. Thus far, most of the lifelogging research has focused predominantly on visual lifelogging, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses for information access and retrieval in general. This review is a suitable reference for those seeking an information retrieval scientist's perspective on lifelogging and the quantified self.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"4 1","pages":"1-125"},"PeriodicalIF":10.4,"publicationDate":"2014-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88918794","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}
{"title":"Computational Advertising: Techniques for Targeting Relevant Ads","authors":"Kushal S. Dave, Vasudeva Varma","doi":"10.1561/1500000045","DOIUrl":"https://doi.org/10.1561/1500000045","url":null,"abstract":"","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"41 1","pages":"263-418"},"PeriodicalIF":10.4,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79064423","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}
{"title":"Music Information Retrieval: Recent Developments and Applications","authors":"Kushal S. Dave, Vasudeva Varma","doi":"10.1561/9781601988331","DOIUrl":"https://doi.org/10.1561/9781601988331","url":null,"abstract":"","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"8 1","pages":"263-418"},"PeriodicalIF":10.4,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081977","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}
{"title":"Information Retrieval for E-Discovery","authors":"Douglas W. Oard, William Webber","doi":"10.1561/1500000025","DOIUrl":"https://doi.org/10.1561/1500000025","url":null,"abstract":"E-discovery refers generally to the process by which one party (for example, the plaintiff) is entitled to discover evidence in the form of electronically stored information that is held by another party (for example, the defendant), and that is relevant to some matter that is the subject of civil litigation (that is, what is commonly called a \"lawsuit\"). Information Retrieval for E-Discovery describes the emergence of the field, identifies the information retrieval issues that arise, reviews the work to date on this topic, and summarizes major open issues. Information Retrieval for E-Discovery is an ideal primer for anyone with an interest in e-discovery; be it researchers who first practiced law but now study information retrieval, or those who studied information retrieval but now practice law.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"46 1","pages":"99-237"},"PeriodicalIF":10.4,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86985833","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}
{"title":"Patent Retrieval","authors":"M. Lupu, A. Hanbury","doi":"10.1561/1500000027","DOIUrl":"https://doi.org/10.1561/1500000027","url":null,"abstract":"Intellectual property and the patent system in particular have been extremely present in research and discussion, even in the public media, in the last few years. Without going into any controversial issues regarding the patent system, we approach a very real and growing problem: searching for innovation. The target collection for this task does not consist of patent documents only, but it is in these documents that the main difference is found compared to web or news information retrieval. In addition, the issue of patent search implies a particular user model and search process model. This review is concerned with how research and technology in the field of Information Retrieval assists or even changes the processes of patent search. It is a survey of work done on patent data in relation to Information Retrieval in the last 20–25 years. It explains the sources of difficulty and the existing document processing and retrieval methods of the domain, and provides a motivation for further research in the area.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"28 1","pages":"1-97"},"PeriodicalIF":10.4,"publicationDate":"2013-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85286647","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}