WebCutter: a system for dynamic and tailorable site mapping

Maarek, Yoelle; Jacovi, Michal; Shtalhaim, Menachem; Ur, Shmuel; Zernik, Dror; Ben-Shaul, Israel

doi:10.1016/s0169-7552(97)00050-0

Cited by 58 publications

(25 citation statements)

References 2 publications

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“…During online information seeking people engage in a process of information foraging and integration [45,24]. To support these behaviors, a number of tools exist -for example, WebBook and WebForager by Card et al [4], which use a book metaphor to find, collect, and manage web pages; Elastic Windows, which provided information overview and location context [22]; Webcutter, which collects and presents URL collections in tree, star, and fisheye views [31]; SenseMaker [2] for evolving collections of information; and Scatter/Gather [8] a text-clustering interface for iteratively navigating through document collections. Some of the more recent tools include Hunter Gatherer [46] which supports fine-grain clipping of information from web pages; and Dontcheva et al's suite of tools to assist users' browsing, collecting and sharing information found on web pages [10].…”

Section: Information Seekingmentioning

confidence: 99%

Standing on the schemas of giants

Kittur

Peters

Diriye

et al. 2014

Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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People spend an enormous amount of time searching for complex information online; for example, consumers researching new purchases or patients learning about their conditions. As they search, people build up rich mental schemas about their target domains; which, if effectively shared, could accelerate learning for others with similar interests. In this paper we introduce a novel approach for integrating the schemas individuals develop as they gather information online and surfacing them for others with similar interests. Through a controlled experiment we show that having access to others' schemas while foraging for information helps new users to induce more useful, prototypical, and better-structured schemas than gathering information alone.

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Section: Information Seekingmentioning

confidence: 99%

Standing on the schemas of giants

Kittur

Peters

Diriye

et al. 2014

Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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“…These include WebBook and WebForager [23], which use a book metaphor to find, collect, and manage web pages; Butterfly [94] aimed at accessing articles in citation networks; and Webcutter, which collects and presents URL collections in tree, star, and fisheye views [93]. For a more focused review on research visualizing bibliographic data, see [99].…”

Section: Systems and Librariesmentioning

confidence: 99%

Data Mining Meets HCI: Making Sense of Large Graphs

Faloutsos

Hong

Kittur

et al. 2012

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We have entered the age of big data. Massive datasets are now common in science, government and enterprises. Yet, making sense of these data remains a fundamental challenge. Where do we start our analysis? Where to go next? How to visualize our findings?We answers these questions by bridging Data Mining and HumanComputer Interaction (HCI) to create tools for making sense of graphs with billions of nodes and edges, focusing on:(1) Attention Routing: we introduce this idea, based on anomaly detection, that automatically draws people's attention to interesting areas of the graph to start their analyses. We present three examples: Polonium unearths malware from 37 billion machine-file relationships; NetProbe fingers bad guys who commit auction fraud.(2) Mixed-Initiative Sensemaking: we present two examples that combine machine inference and visualization to help users locate next areas of interest: Apolo guides users to explore large graphs by learning from few examples of user interest; Graphite finds interesting subgraphs, based on only fuzzy descriptions drawn graphically.(3) Scaling Up: we show how to enable interactive analytics of large graphs by leveraging Hadoop, staging of operations, and approximate computation.This thesis contributes to data mining, HCI, and importantly their intersection, including: interactive systems and algorithms that scale; theories that unify graph mining approaches; and paradigms that overcome fundamental challenges in visual analytics.Our work is making impact to academia and society: Polonium protects 120 million people worldwide from malware; NetProbe made headlines on CNN, WSJ and USA Today; Pegasus won an opensource software award; Apolo helps DARPA detect insider threats and prevent exfiltration.We hope our Big Data Mantra "Machine for Attention Routing, Human for Interaction" will inspire more innovations at the crossroad of data mining and HCI.vi

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“…[Nielsen 1997]. Overviews of some of these tools are given in Ahlberg and Shneiderman [1994]; Beaudoin et al [1996]; Bederson and Hollan [1994]; Gloor and Dynes [1998]; Lamping et al [1995]; Liechti et al [1998]; Maarek et al [1997]; Munzner and Burchard [1995]; Robertson et al [1991]; and Tetranet Software Inc.…”

Section: User Interfacesmentioning

confidence: 99%

Information retrieval on the web

2000

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In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. We present data on the Internet from several different sources, e.g., current as well as projected number of users, hosts, and Web sites. Although numerical figures vary, overall trends cited by the sources are consistent and point to exponential growth in the past and in the coming decade. Hence it is not surprising that about 85% of Internet users surveyed claim using search engines and search services to find specific information. The same surveys show, however, that users are not satisfied with the performance of the current generation of search engines; the slow retrieval speed, communication delays, and poor quality of retrieved results (e.g., noise and broken links) are commonly cited problems. We discuss the development of new techniques targeted to resolve some of the problems associated with Web-based information retrieval,and speculate on future trends.

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WebCutter: a system for dynamic and tailorable site mapping

Cited by 58 publications

References 2 publications

Standing on the schemas of giants

Standing on the schemas of giants

Data Mining Meets HCI: Making Sense of Large Graphs

Information retrieval on the web

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