OpenRaiser/Intern-Atlas huggingface dataset:
Detection of Shifts in User Interests for Personalized Information Filtering
Authors: Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal
Venue: SIGIR
Year: 1996

Article Free Access Share on Detection of shifts in user interests for personalized information filtering Authors: W. Lam Department of Management Sciences, S306 Pappajohn Building, The University of Iowa, Iowa City, Iowa Department of Management Sciences, S306 Pappajohn Building, The University of Iowa, Iowa City, IowaView Profile , S. Mukhopadhyay Computer and Information Science, Purdue University School of Science at Indianapolis, 723 W. Michigan St. SL280, Indianapolis, IN Computer and Information Science, Purdue University School of Science at Indianapolis, 723 W. Michigan St. SL280, Indianapolis, INView Profile , J. Mostafa School of Library and Information Science, Indiana University, Bloomington, IN School of Library and Information Science, Indiana University, Bloomington, INView Profile , M. Palakal Computer and Information Science, Purdue University School of Science at Indianapolis, 723 W. Michigan St. SL280, Indianapolis, IN Computer and Information Science, Purdue University School of Science at Indianapolis, 723 W. Michigan St. SL280, Indianapolis, INView Profile Authors Info & Claims SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrievalAugust 1996 Pages 317–325https://doi.org/10.1145/243199.243279Published:18 August 1996Publication History 36citation915DownloadsMetricsTotal Citations36Total Downloads915Last 12 Months40Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Combining Classifiers in Text Categorization
Authors: Leah S. Larkey, W. Bruce Croft
Venue: SIGIR
Year: 1996

Three different types of classifiers were investigated in the context of a text categorization problem in the medical domain: the automatic assignment of ICD9 codes to dictated inpatient discharge summaries. K-nearest-neighbor, relevance feedback, and Bayesian independence classifers were applied individually and in combination. A combination of different classifiers produced better results than any single type of classifier. For this specific medical categorization problem, new query formulation and weighting methods used in the k-nearest-neighbor classifier improved performance. 1 Introduction Past research in information retrieval has shown that one can improve retrieval effectiveness by using multiple representations in indexing and query formulation [27] [19] [3] [11] and by using multiple search strategies [5] [24] [7]. In this work, we investigate whether we can attain similar improvements in the domain of text categorization by combining different representations and classif...
Training Algorithms for Linear Text Classifiers
Authors: David D. Lewis, Robert E. Schapire, James P. Callan, Ron Papka
Venue: SIGIR
Year: 1996

Systems for text retrieval, routing, categorization and other IR tasks rely heavily on linear classifiers. We propose that two machine learning algorithms, the Widrow-Hoff and EG algorithms, be used in training linear text classifiers. In contrast to most IR methods, theoretical analysis provides performance guarantees and guidance on parameter settings for these algorithms.
Posters: Abstracts
Authors: Elizabeth D. Liddy
Venue: SIGIR
Year: 1996

Article Free Access Share on Posters: abstracts Author: Elizabeth D. Liddy School of Information Studies, Syracuse University, 4-206 Center for Science & Technology, Syracuse, NY School of Information Studies, Syracuse University, 4-206 Center for Science & Technology, Syracuse, NYView Profile Authors Info & Claims SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrievalAugust 1996 https://doi.org/10.1145/243199.250974Published:18 August 1996Publication History 0citation193DownloadsMetricsTotal Citations0Total Downloads193Last 12 Months3Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Efficient Processing of One and Two Dimensional Proximity Queries in Associative Memory
Authors: King-Lup Liu, G. Jack Lipovski, Clement T. Yu, Naphtali Rishe
Venue: SIGIR
Year: 1996

Proximity queries that involve multiple object types are very common. In this paper, we present a parallel algorithm for answering proximity queries of one kind over object instances that lie in a one-dimensional metric space. The algorithm exploits a specialized hardware, the Dynamic Associative Access Memory chip. In most proximity queries of this kind, the number of object types is less than or equal to three and the distance d, within which object instances are required to locate to satisfy a given proximity condition, is small (dd=80e = 1). The execution time for such queries is linearly proportional to the number of object types and is independent of the size of the database. This allows numerous concurrent users to be serviced. The algorithm is extended to process 2-dimensional proximity queries efficiently. This research is supported in part by NASA under NAGW-4080 and ARO under BMDO grant DAAH04-0024. 1 1
Interactive Information Retrieval Systems: From User Centred Interface Design to Software Design
Authors: Philippe Mulhem, Laurence Nigay
Venue: SIGIR
Year: 1996

Article Interactive information retrieval systems: from user centered interface design to software design Share on Authors: P. Mulhem Laboratoire CLIPS-IMAG, Grenoble, France Laboratoire CLIPS-IMAG, Grenoble, FranceView Profile , L. Nigay Laboratoire CLIPS-IMAG, Grenoble, France Laboratoire CLIPS-IMAG, Grenoble, FranceView Profile Authors Info & Claims SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrievalAugust 1996 Pages 326–334https://doi.org/10.1145/243199.243280Online:18 August 1996Publication History 7citation1,125DownloadsMetricsTotal Citations7Total Downloads1,125Last 12 Months6Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
On Chinese Text Retrieval
Authors: Jian-Yun Nie, Martin Brisebois, Xiaobo Ren
Venue: SIGIR
Year: 1996

In previous studies, Chinese text retrieval has often been dealt with on the character basis. This approach is not suited to deal with complex queries. We suggest that Chirmse text retrieval should work with words inslead of characters. The crucial problem is to segment originally continuous Chinese texts into words. In this paper, wc Ilrsi propose a hybrid segmentation approach which unifies the commonly used approaches. The systcm SMART is then udaptcd to index the segmented Chinese texls. Finally, wc suggest that Chinese text retrieval should move further to include a thesaurus in order to cope with dle rich vocabulary of Chinese.
Visualizing Search Results: Some Alternatives to Query-Document Similarity
Authors: Lucy T. Nowell, Robert K. France, Deborah Hix, Lenwood S. Heath, Edward A. Fox
Venue: SIGIR
Year: 1996

Article Free Access Share on Visualizing search results: some alternatives to query-document similarity Authors: Lucy Terry Nowell Virginia Tech Department of Computer Science, Blacksburg, VA and Lynchburg College in Virginia Virginia Tech Department of Computer Science, Blacksburg, VA and Lynchburg College in VirginiaView Profile , Robert K. France Virginia Tech Department of Computer Science, Blacksburg, VA and Virginia Tech Computing Center Virginia Tech Department of Computer Science, Blacksburg, VA and Virginia Tech Computing CenterView Profile , Deborah Hix Virginia Tech Department of Computer Science, Blacksburg, VA Virginia Tech Department of Computer Science, Blacksburg, VAView Profile , Lenwood S. Heath Virginia Tech Department of Computer Science, Blacksburg, VA Virginia Tech Department of Computer Science, Blacksburg, VAView Profile , Edward A. Fox Virginia Tech Department of Computer Science, Blacksburg, VA and Virginia Tech Computing Center Virginia Tech Department of Computer Science, Blacksburg, VA and Virginia Tech Computing CenterView Profile Authors Info & Claims SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrievalAugust 1996 Pages 67–75https://doi.org/10.1145/243199.243214Online:18 August 1996Publication History 78citation1,805DownloadsMetricsTotal Citations78Total Downloads1,805Last 12 Months33Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Retrieval of Complex Objects Using a Four-Valued Logic
Authors: Thomas Rölleke, Norbert Fuhr
Venue: SIGIR
Year: 1996

The aggregated structure of documents plays a key role in full-text, multimedia, and network Information Retrieval (IR). Considering aggregation provides new querying facilities and improves retrieval effectiveness. We present a knowledge representation for IR purposes which pays special attention to this aggregated structure of objects. In addition, further features of objects can be described. Thus, the structure of full-text documents, the heterogeneity and the spatial and temporal relationships of objects typical for multimedia IR, and meta information for network IR are representable within one integrated framework. The model we propose allows for querying on the content of documents (objects) as well as on other features. The query result may contain objects having different types. Instead of retrieving only whole documents, the retrieval process determines the least aggregated entities that imply the query. 1 Motivation and Background New IR applications like full-text, multime...
Elicitations During Information Retrieval: Implications for IR System Design
Authors: Amanda Spink, Abby Goodrum, David Robins, Mei Mei Wu
Venue: SIGIR
Year: 1996

Article Elicitations during information retrieval: implications for IR system design Share on Authors: Amanda Spink School of Library and Information Sciences, University of North Texas, Denton, TX School of Library and Information Sciences, University of North Texas, Denton, TXView Profile , Abby Goodrum School of Library and Information Sciences, University of North Texas, Denton, TX School of Library and Information Sciences, University of North Texas, Denton, TXView Profile , David Robins School of Library and Information Sciences, University of North Texas, Denton, TX School of Library and Information Sciences, University of North Texas, Denton, TXView Profile , Mei Mei Wu Associate Professor, National Taiwan Normal University, Taipei, Taiwan, 106 Associate Professor, National Taiwan Normal University, Taipei, Taiwan, 106View Profile Authors Info & Claims SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrievalAugust 1996 Pages 120–127https://doi.org/10.1145/243199.243239Online:18 August 1996Publication History 8citation498DownloadsMetricsTotal Citations8Total Downloads498Last 12 Months4Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Evaluation of a Tool for Visualization of Information Retrieval Results
Authors: Aravindan Veerasamy, Nicholas J. Belkin
Venue: SIGIR
Year: 1996

We report on the design and evaluation of a visualization tool for Information Retrieval (IR) systems that aims to help the end user in the following respects: .
Optimal Demand-oriented Topology for Hypertext Systems
Authors: Scott Aaronson
Venue: SIGIR
Year: 1997

article Free Access Share on Optimal demand-oriented topology for hypertext systems Author: Scott Aaronson Department of Mathematics and Computer Science, Clarkson University, Potsdam NY Department of Mathematics and Computer Science, Clarkson University, Potsdam NYView Profile Authors Info & Claims ACM SIGIR ForumVolume 31Issue SIDecember 1997 pp 168–177https://doi.org/10.1145/278459.258560Online:01 July 1997Publication History 3citation459DownloadsMetricsTotal Citations3Total Downloads459Last 12 Months21Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Exploiting Clustering and Phrases for Context-based Information Retrieval
Authors: Peter G. Anick, Shivakumar Vaithyanathan
Venue: SIGIR
Year: 1997

article Free Access Share on Exploiting clustering and phrases for context-based information retrieval Authors: Peter G. Anick Digital Equipment Corporation, Stow, MA and Brandeis University, Waltham, MA Digital Equipment Corporation, Stow, MA and Brandeis University, Waltham, MAView Profile , Shivakumar Vaithyanathan IBM Almaden Research Center, San Jose, CA IBM Almaden Research Center, San Jose, CAView Profile Authors Info & Claims ACM SIGIR ForumVolume 31Issue SIDecember 1997pp 314–323https://doi.org/10.1145/278459.258601Published:01 July 1997Publication History 68citation1,735DownloadsMetricsTotal Citations68Total Downloads1,735Last 12 Months71Last 6 weeks13 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Using Semantic Contents and WordNet in Image Retrieval
Authors: Y. Alp Aslandogan, Chuck Thier, Clement T. Yu, Jon Zou, Naphtali Rishe
Venue: SIGIR
Year: 1997

Image retrievaf based on semantic contents involves extraction, modelling and indexing of content information.
Phrasal Translation and Query Expansion Techniques for Cross-language Information Retrieval
Authors: Lisa Ballesteros, W. Bruce Croft
Venue: SIGIR
Year: 1997

Dictionary methods for cross-language information retrieval give performance below that for mono-lingual retrieval. Failure to translate multi-term phrases has km shown to be one of the factors responsible for the errors associated with dictionary methods. First, we study the importance of phrasaI translation for this approach. Second, we explore the role of phrases in query expansion via local context analysis and local feedback and show how they can be used to significantly reduce the error associated with automatic dictionary translation.
Chinese Text Retrieval Without Using a Dictionary
Authors: Aitao Chen, Jianzhang He, Liangjie Xu, Fredric C. Gey, Jason Meggs
Venue: SIGIR
Year: 1997

It is generafly believed that words, rather than characters, should be the smallest indexing unit for Chinese text retrieval systems, and that it is essential to have a comprehensive Chinese dictionary or lexicon for Chhmse text retrieval systems to do well. Chinese text has no delimiters to mark woni boundaries.
PAT-tree-based Keyword Extraction for Chinese Information Retrieval
Authors: Lee-Feng Chien
Venue: SIGIR
Year: 1997

urgent need to promote Chinese in this paper we will raise the significance of keyword extraction using a new PAT-treebased approach, which is efficient in automatic keyword extraction from a set of relevant Chinese documents.This approach has been successfully applied in several IR researches, such as document classification, book indexing and relevance feedback.Many Chinese language processing applications therefore step ahead from character level to word/phrase level,
How to Read Less and Know More - Approximate OCR for Thai
Authors: Doug Cooper
Venue: SIGIR
Year: 1997

article Free Access Share on How to read less and know more: approximate OCR for Thai Author: Doug Cooper Southeast Asian Software Research Center, 1617 Ratchaprarop Tower, 99 Soi Bunprarop, Ratchaprarop Road, Makasan, Bangkok, Thailand 10400 Southeast Asian Software Research Center, 1617 Ratchaprarop Tower, 99 Soi Bunprarop, Ratchaprarop Road, Makasan, Bangkok, Thailand 10400View Profile Authors Info & Claims ACM SIGIR ForumVolume 31Issue SIDecember 1997pp 216–225https://doi.org/10.1145/278459.258572Published:01 July 1997Publication History 2citation650DownloadsMetricsTotal Citations2Total Downloads650Last 12 Months40Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Time, Relevance and Interaction Modelling for Information Retrieval
Authors: Mark D. Dunlop
Venue: SIGIR
Year: 1997

The most common method for assessing the worth of an information retrieval (lR) system is through precision and recall graphs.These graphs show how precise an IR engine is when working at fixed levels of recall.This paper introduces number-lo-view graphs, a new graphing method based on an early evaluation measure, which supplement precisionrecall graphs by plotting the number of relevant documents a user wishes against the number of documents they would have to view to encounter them.The paper also proposes a step forward from number-to-view graphs that directly includes presentation, interface and temporal issues within the same frame work as engine effectiveness: time-to-view graphs.Taken together, these graphs and models introduce a new evaluation approach called Expected Search Duration.
Users' Perception of the Performance of a Filtering System
Authors: Raya Fidel, Michael D. Crandall
Venue: SIGIR
Year: 1997

Abstmd. ~though falteringekctronic information is -8 qidly, vq fewstudiesexamined users'perceptions about the success of filtering. Users at the Boeing Company participated in a study which collected data throughobservation, verbal protocols, questionnaire, and interviews. Dsts analysis used four levels of relevance to assess the importance,and fkquency of use, of thirken criteria for relevance, and fourteen for non relevance, that are not topics or subject matters. Results showed that perceived precision ratios for tiltered information were higher then the ratios fbr non-falteredinfbrmatiorLbut not significantly and could still be improved even though most respondents were satisfied with these ratios. Developing methods to create and maintain useful profiles, and finding ways to incorporaterelevance as well as non-relevan= criteria into profdes, are neceswuy to improve the performanceof faltering medumisms.
Computationally Tractable Probabilistic Modeling of Boolean Operators
Authors: Warren R. Greiff, W. Bruce Croft, Howard R. Turtle
Venue: SIGIR
Year: 1997

article Free Access Share on Computationally tractable probabilistic modeling of Boolean operators Authors: Warren R. Greiff Computer Science Department, University of Masaachusetts, Amherst, Amherst, Massachusetts Computer Science Department, University of Masaachusetts, Amherst, Amherst, MassachusettsView Profile , W. Bruce Croft Computer Science Department, University of Masaachusetts, Amherst, Amherst, Massachusetts Computer Science Department, University of Masaachusetts, Amherst, Amherst, MassachusettsView Profile , Howard Turtle West Publishing Co., Eagan, Minnesota West Publishing Co., Eagan, MinnesotaView Profile Authors Info & Claims ACM SIGIR ForumVolume 31Issue SIDecember 1997 pp 119–128https://doi.org/10.1145/278459.258547Published:01 July 1997Publication History 4citation480DownloadsMetricsTotal Citations4Total Downloads480Last 12 Months23Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Image Retrieval by Hypertext Links
Authors: V. Harmandas, Mark Sanderson, Mark D. Dunlop
Venue: SIGIR
Year: 1997

This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presented is based on combining evidence of the text content and hypertext structure of the Web. The paper shows that certain types of query are amply served by this form of representation. It also presents a novel means of gathering relevance judgements.
Cat-a-Cone: An Interactive Interface for Specifying Searches and Viewing Retrieval Results using a Large Category Hierarchy
Authors: Marti A. Hearst, Chandu Karadi
Venue: SIGIR
Year: 1997

This paper introduces a novel user interface that integrates search and browsing of very large category hierarchies with their associated text collections. A key component is the separate but simultaneous display of the representations of the categories and the retrieved documents. Another key component is the display of multapfe selected categories simultaneously, complete with their hierarchical context. The prototype implementation uses animation and a three-dimensional graphical workspace to accommodate the category hierarchy and to store intermediate search results. Query specification in this 3D environment is accomplished via a novel method for painting Boolean queries over a combination of category labels and free text. Examples are shown on a collection of medical text. 'The Cat-a-Con. m!egrates cotegory hlerarchka into Conelhee. The name is almost a homophone of catacomb, a word whose secondary definition is a complex set of interrelated thingu