| | | | | |
Select: All | None | Toggle Preview: Open All | Close All |
2008
|
| |  | Tramontin, Rui | A Rule-Based Approach for Customizing Knowledge Search in CNOs read moreAbstract: Searching for knowledge in Collaborative Networked Organizations (CNOs) is an important issue as partners must share and use the knowledge spread over the network. Besides that, partners of such networks work in several contexts (roles, activities, processes) and have individual interests. Based on these observations, the aim of this work is to provide and combine concepts such as topics, profiles and context in a model for customizing knowledge search in CNOs. The basic assumption is that the relevance of the search results in the CNO domain is not only defined by the terms of the query but also by the context and the profile of the user performing the search. Besides the model, a set of rules for query customization is presented and all these elements are framed in an existing framework for knowledge search. | 2008 |
2007
|
| | | Felfernig, Alexander | Guest Editors' Introduction: Recommender Systems read moreAbstract: This special issue presents eight articles, five long and three short, on techniques to improve recommender systems. They cover improving such aspects as user interaction with recommenders, the quality of results presented to users, and user trust in presented recommendations. This article is part of a special issue on Recommender Systems. | 2007 |
| | | Felfernig, Alexander | Guest Editors Introduction: Recommender Systems read moreAbstract: This special issue presents eight articles, five long and three short, on techniques to improve recommender systems. They cover improving such aspects as user interaction with recommenders, the quality of results presented to users, and user trust in presented recommendations. This article is part of a special issue on Recommender Systems.
| 2007 |
| | | XIE, Hong | Shifts in information-seeking strategies in information retrieval in the digital age. A planned-situational model read moreAbstract: Shifts in information-seeking strategies in information retrieval in the digital age. A planned-situational model
| 2007 |
2006
|
| | | Marchionini, Gary | Exploratory search: from finding to understanding read moreAbstract: From the earliest days of computers, search has been a fundamental application that has driven research and development. For example, a paper published in the inaugural year of the IBM journal 36 years ago outlined challenges of text retrieval that continue to the present [4] . Today's data storage and retrieval applications range from database systems that manage the bulk of the world's structured data to Web search engines that provide access to petabytes of text and multimedia data. As computers have become consumer products and the Internet has become a mass medium, searching the Web has become a daily activity for everyone from children to research scientists. | 2006 |
2005
|
| | | Birukov, Alexander | Implicit: an agent-based recommendation system for web search read moreAbstract: The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider communities of people with common interests, it is possible to improve the quality of the query results using knowledge extracted from the observed behaviors of the single users. In this paper we propose an agent-based recommendation system for supporting communities of people in searching the web by means of a popular search engine. Agents use data mining techniques in order to learn and discover users' behaviors, and they interact one another to share knowledge about their users. The paper presents also a set of experimental results showing, in terms of precision and recall, how agents interaction increases the performance of the overall system. | 2005 |
| | | Gori, Marco | The bubble of web visibility read moreAbstract: Promoting visibility as seen through the unique lens of search engines. | 2005 |
2004
|
| | | Han, H. | Two supervised learning approaches for name disambiguation in author citations read moreAbstract: Due to name abbreviations, identical names, name misspellings, and pseudonyms in publications or bibliographies (citations), an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, Web search, database integration, and may cause improper attribution to authors. We investigate two supervised learning approaches to disambiguate authors in the citations. One approach uses the naive Bayes probability model, a generative model; the other uses support vector machines (SVMs) [V. Vapnik (1995)] and the vector space representation of citations, a discriminative model. Both approaches utilize three types of citation attributes: coauthor names, the title of the paper, and the title of the journal or proceeding. We illustrate these two approaches on two types of data, one collected from the Web, mainly publication lists from homepages, the other collected from the DBLP citation databases. | 2004 |
| | | Wildemuth, Barbara M. | The effects of domain knowledge on search tactic formulation read moreAbstract: A search tactic is a set of search moves that are temporally and semantically related. The current study examined the tactics of medical students searching a factual database in microbiology. The students answered problems and searched the database on three occasions over a 9-month period. Their search moves were analyzed in terms of the changes in search terms used from one cycle to the next, using two different analysis methods.Common patterns were found in the students' search tactics; the most common approach was the specification of a concept, followed by the addition of one or more concepts, gradually narrowing the retrieved set before it was displayed. It was also found that the search tactics changed over time as the students' domain knowledge changed. These results have important implications for designers in developing systems that will support users' preferred ways of formulating searches. In addition, the research methods used (the coding scheme and the two data analysis methods--zero-order state transition matrices and maximal repeating patterns [MRP] analysis) are discussed in terms of their validity in future studies of search tactics. | 2004 |
2002
|
| | | Allan, James | Challenges in Information Retreival and Language Modeling read moreAbstract: Information Retrieval (IR) research has reached a point where it is appropriate to assess progress and to define a research agenda for the next five to ten years. This report summarize a discussion of IR research challenges that took place at a recent worksphop | 2002 |
2000
|
| | | Bollacker, K. D. | Discovering relevant scientific literature on the Web read moreAbstract: Scientific literature on the Web makes up a massive, noisy, disorganized database. Unlike large, single-source databases such as a corporate customer database, the Web database draws from many sources, each with its own organization. Also, owing to its diversity, most records in this database are irrelevant to an individual researcher. Furthermore, the database is constantly growing in content and changing in organization. All these characteristics make the Web a difficult domain for knowledge discovery. To quickly and easily gather useful knowledge from such a database, users need the help of an information filtering system that automatically extracts only relevant records as they appear in a stream of incoming records. To this end, we have developed the CiteSeer. CiteSeer is an automatic generator of digital libraries of scientific literature. It uses sophisticated acquisition, parsing, and presentation methods to eliminate most of the manual effort of finding useful publications on the Web | 2000 |
| | | D, Green | The evolution of Web searching read moreAbstract: The interrelation between Web publishing and information retrieval technologies is explored. The different elements of the Web have implications for indexing and searching Web pages. There are two main platforms used for searching the Web - directories and search engines - which later became combined to create one-stop search sites, resulting in the Web business model known as portals. Portalisation gave rise to a second-generation of firms delivering innovative search technology. Various new approaches to Web indexing and information retrieval are listed. PC-based search tools incorporate intelligent agents to allow greater manipulation of search strategies and results. Current trends are discussed, in particular the rise of XML, and their implications for the future. It is concluded that the Web is emerging from a nascent stage and is evolving into a more complex, diverse and structured environment. | 2000 |
1998
|
| | | Montebello, M. | Information overload-an IR problem? read moreAbstract: Information overload on the World Wide Web (WWW) is a well recognised problem. Research to subdue this problem and extract maximum benefit from the Internet is still in its infancy. With huge amounts of information connected to the Internet, efficient and effective discovery of resources and knowledge has become an imminent research issue. A vast array of network services is growing up around the Internet and a massive amount of information is added everyday. Despite the potential benefits of existing indexing, retrieving and searching techniques in assisting users in the browsing process, little has been done to ensure that the information presented is of a high recall and precision standard. Therefore, search for specific information on this massive and exploding information resource base becomes highly critical. The author discusses the issues involved in resolving the information overload over the WWW and argues that this is solely an information retrieval problem. As a contribution to the field he proposes a general architecture to subdue information overload and describes how this architecture has been instantiated in a functional system he developed | 1998 |
1997
|
| | | Schatz, Bruce R. | Information Retrieval in Digital Libraries: Bringing Search to the Net read moreAbstract: this article owes as much to Bush's
fame at the time (he had been director of
the Office of Scientific Research and Development,
coordinating all U.S. technology
efforts during the war) as to the actual
article itself | 1997 |
| | | Chen, Hsinchun | A concept space approach to addressing the vocabulary problem in scientific information retrieval: an experiment on the worm community system read moreAbstract: This research presents an algorithmic approach to addressing the vocabulary problem in scientific information retrieval and information sharing, using the molecular biology domain as an example. We first present a literature review of cognitive studies related to the vocabulary problem and vocabulary-based search aids (thesauri) and then discuss techniques for building robust and domain-specific thesauri to assist in cross-domain scientific information retrieval. Using a variation of the automatic thesaurus generation techniques, which we refer to as the concept space approach, we recently conducted an experiment in the molecular biology domain in which we created a C. elegans worm thesaurus of 7,657 worm-specific terms and a Drosophila fly thesaurus of 15,626 terms. About 30% of these terms overlapped, which created vocabulary paths from one subject domain to the other. Based on a cognitive study of term association involving four biologists, we found that a large percentage (59.6-85.6%) of the terms suggested by the subjects were identified in the conjoined fly-worm thesaurus. However, we found only a small percentage (8.4-18.1%) of the associations suggested by the subjects in the thesaurus. In a follow-up document retrieval study involving eight fly biologists, an actual worm database (Worm Community System), and the conjoined fly-worm thesaurus, subjects were able to find more relevant documents (an increase from about 9 documents to 20) and to improve the document recall level (from 32.41 to 65.28%) when using the thesaurus, although the precision level did not improve significantly. Implications of adopting the concept space approach for addressing the vocabulary problem in internet and digital libraries applications are also discussed. | 1997 |
| | | Gudivada, V. N. | Information retrieval on the World Wide Web read moreAbstract: Effective search and retrieval are enabling technologies for realizing the full potential of the Web. The authors examine relevant issues, including methods for representing document content. They also compare available search tools and suggest methods for improving retrieval effectiveness | 1997 |
1996
|
| | | Mizzaro, Stefano M. | A Cognitive Analysis of Information Retrieval read moreAbstract: The lackness of a formal account is probably one of the most evident of the shortcomings of information retrieval : concepts like information, information need, and relevance are neither well understood nor formally defined. This paper sketches a cognitive framework that permits to analyze these three central concepts of the information retrieval scenario. The framework consists of concepts as cognitive agents acting in the world, knowledge states possessed by the cognitive agents, transitions among knowledge states, and inferences. On the basis of the framework, information is formally defined as a pair representing the difference between two knowledge states ; this definition permits to clarify the distinction among data, knowledge, and information and to discuss the subjectiveness of information. On this ground, the concept of information need is examined : it is defined, it is studied in the context of the interaction between an information retrieval system and a user, and the well known classification in verificative, conscious topical, and muddled needs is analyzed. On the basis of the above definitions of information and information need, relevance is formally defined, and some critical features of this concept are discussed. | 1996 |
1993
|
| | | Sheth, B. | Evolving agents for personalized information filtering read moreAbstract: Describes how techniques from artificial life can be used to evolve a population of personalized information filtering agents. The technique of artificial evolution and the technique of learning from feedback are combined to develop a semi-automated information filtering system which dynamically adapts to the changing interests of the user. Results of a set of experiments are presented in which a small population of information filtering agents was evolved to make a personalized selection of news articles from the USENET newsgroups. The results show that the artificial evolution component of the system is responsible for improving the recall rate of the selected set of articles, while learning from feedback component improves the precision rate | 1993 |
Add To Cart
Add To Report
Email
Export
1 