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Eytan Adar

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Eytan Adar

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Publications by Eytan Adar (bibliography)

» 2009 «

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Adar, Eytan, Teevan, Jaime and Dumais, Susan T. (2009): Resonance on the web: web dynamics and revisitation patterns. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1381-1390. Available online

“The Web is a dynamic, ever-changing collection of information accessed in a dynamic way. This paper explores the relationship between Web page content change (obtained from an hourly crawl of over 40K pages) and people's revisitation to those pages (collected via a large scale log analysis of 2.3M users). We identify the relationship, or resonance, between revisitation behavior and the amount and type of changes on those pages. By coupling our large scale log analysis with a complementary user study we explore the intent behind the revisitation behavior we observed. Using the notion of resonance to identify the likely content of interest, we describe a number of ways interaction with changing and revisited information can be better supported. We illustrate how understanding the association between change and revisitation might improve browser, crawler, and search engine design, and present a specific example of how knowledge of both can enable relevant content to be highlighted.”

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» 2008 «

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Adar, Eytan, Teevan, Jaime and Dumais, Susan (2008): Large scale analysis of web revisitation patterns. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1197-1206. Available online

“Our work examines Web revisitation patterns. Everybody revisits Web pages, but their reasons for doing so can differ depending on the particular Web page, their topic of interest, and their intent. To characterize how people revisit Web content, we analyzed five weeks of Web interaction logs of over 612,000 users. We supplemented these findings by a survey intended to identify the intent behind the observed revisitation. Our analysis reveals four primary revisitation patterns, each with unique behavioral, content, and structural characteristics. Through our analysis we illustrate how understanding revisitation patterns can enable Web sites to provide improved navigation, Web browsers to predict users' destinations, and search engines to better support fast, fresh, and effective finding and re-finding.”

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Adar, Eytan, Dontcheva, Mira, Fogarty, James and Weld, Daniel S. (2008): Zoetrope: interacting with the ephemeral web. In: Cousins, Steve B. and Beaudouin-Lafon, Michel (eds.) Proceedings of the 21st Annual ACM Symposium on User Interface Software and Technology October 19-22, 2008, Monterey, CA, USA. pp. 239-248. Available online

» 2007 «

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Adar, Eytan, Weld, Daniel S., Bershad, Brian N. and Gribble, Steven S. (2007): Why we search: visualizing and predicting user behavior. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 161-170. Available online

“The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper, we take a first step at achieving this goal. We present a large scale study correlating the behaviors of Internet users on multiple systems ranging in size from 27 million queries to 14 million blog posts to 20,000 news articles. We formalize a model for events in these time-varying datasets and study their correlation. We have created an interface for analyzing the datasets, which includes a novel visual artifact, the DTWRadar, for summarizing differences between time series. Using our tool we identify a number of behavioral properties that allow us to understand the predictive power of patterns of use.”

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Teevan, Jaime, Adar, Eytan, Jones, Rosie and Potts, Michael A. S. (2007): Information re-retrieval: repeat queries in Yahoo's logs. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007. pp. 151-158. Available online

“People often repeat Web searches, both to find new information on topics they have previously explored and to re-find information they have seen in the past. The query associated with a repeat search may differ from the initial query but can nonetheless lead to clicks on the same results. This paper explores repeat search behavior through the analysis of a one-year Web query log of 114 anonymous users and a separate controlled survey of an additional 119 volunteers. Our study demonstrates that as many as 40% of all queries are re-finding queries. Re-finding appears to be an important behavior for search engines to explicitly support, and we explore how this can be done. We demonstrate that changes to search engine results can hinder re-finding, and provide a way to automatically detect repeat searches and predict repeat clicks.”

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» 2006 «

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Adar, Eytan (2006): GUESS: a language and interface for graph exploration. In: Proceedings of ACM CHI 2006 Conference on Human Factors in Computing Systems 2006. pp. 791-800. Available online

“As graph models are applied to more widely varying fields, researchers struggle with tools for exploring and analyzing these structures. We describe GUESS, a novel system for graph exploration that combines an interpreted language with a graphical front end that allows researchers to rapidly prototype and deploy new visualizations. GUESS also contains a novel, interactive interpreter that connects the language and interface in a way that facilities exploratory visualization tasks. Our language, Gython, is a domain-specific embedded language which provides all the advantages of Python with new, graph specific operators, primitives, and shortcuts. We highlight key aspects of the system in the context of a large user survey and specific, real-world, case studies ranging from social and knowledge networks to distributed computer network analysis.”

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Teevan, Jaime, Adar, Eytan, Jones, Rosie and Potts, Michael (2006): History repeats itself: repeat queries in Yahoo's logs. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2006. pp. 703-704. Available online

“Thanks to the ubiquity of the Internet search engine search box, users have come to depend on search engines both to find and re-find information. However, re-finding behavior has not been significantly addressed. Here we look at re-finding queries issued to the Yahoo! search engine by 114 users over a year.”

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» 2005 «

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Adar, Eytan and Adamic, Lada A. (2005): Tracking Information Epidemics in Blogspace. In: Skowron, Andrzej, Agrawal, Rakesh, Luck, Michael, Yamaguchi, Takahira, Morizet-Mahoudeaux, Pierre, Liu, Jiming and Zhong, Ning (eds.) 2005 IEEE / WIC / ACM International Conference on Web Intelligence WI 2005 19-22 September, 2005, Compiegne, France. pp. 207-214. Available online

» 2003 «

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Adamic, Lada A., Buyukkokten, Orkut and Adar, Eytan (2003): A social network caught in the Web. In First Monday, 8 (6)

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Lukose, Rajan M., Adar, Eytan, Tyler, Joshua R. and Sengupta, Caesar (2003): SHOCK: communicating with computational messages and automatic private profiles. In: Proceedings of the 2003 International Conference on the World Wide Web 2003. pp. 291-300. Available online

“A computationally enhanced message contains some embedded programmatic components that are interpreted and executed automatically upon receipt. Unlike ordinary text email or instant messages, they make possible a number of useful applications. In this paper, we describe a general and flexible messaging system called SHOCK that extends the functionality of prior computational email systems by allowing XML-encoded SHOCK messages to interact with an automatically created profile of a user. These profiles consist of information about the most common tasks users perform, such as their Web browsing behavior, their conventional email usage, etc. Since users are sensitive about such data, the system is designed with privacy as a central design goal, and employs a distributed peer-to-peer architecture to achieve it. The system is largely implemented with commodity Web technologies and provides both a Web interface as well as one that is tightly integrated with users ordinary email clients. With SHOCK, users can send highly targeted messages without violating others privacy, and engage in structured conversation appropriate to the context without disrupting their existing work practices. We describe our implementation in detail, the most useful novel applications of the system, and our experiences with the system in a pilot field test.”

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» 2002 «

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Pitkow, James E., Schütze, Hinrich, Cass, Todd A., Cooley, Robert, Turnbull, Don, Edmonds, Andy, Adar, Eytan and Breuel, Thomas M. (2002): Personalized search. In Communications of the ACM, 45 (9) pp. 50-55

» 2001 «

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Adar, Eytan and Huberman, Bernardo A. (2001): A Market for Secrets. In First Monday, 6 (8)

» 2000 «

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Adar, Eytan and Huberman, Bernardo A. (2000): Free Riding on Gnutella. In First Monday, 5 (10)

» 1999 «

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Adar, Eytan, Karger, David R. and Stein, Lynn Andrea (1999): Haystack: Per-User Information Environments. In: Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management November 2-6, 1999, Kansas City, Missouri, USA. pp. 413-422. Available online

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Changes to this page (author)

26 Feb 2010: Enabled abstracts to be shown on Eytan Adar's author page.
18 Aug 2009: Author was edited

12 Jul 2009: Author was edited
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19 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:1999-2009
Publication count:14
Number of co-authors:26

Productive colleagues

Eytan Adar's 3 most productive colleagues in number of publications:

Susan Dumais:46
James Fogarty:28
Daniel S. Weld:27

Collaboration count

Number of publications with 3 favourite co-authors:

Jaime Teevan:4
Lada A. Adamic:2
Bernardo A. Huberman:2

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Learn more about Eytan Adar:
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Conference Calendar

Mar 22

UX People

Mar 22

ETRA '10 - Eye Tracking Research & Applications Symp.

Mar 22

Workshop on Pervasive healthcare in the home : Supporting patient motivation and engagement

Mar 21

“ Software design is the act of determining the user's experience with a piece of software. It has nothing to do with how the code works inside, or how big or small the code is. The designer's task is to specify completely and unambiguously the user's whole experience. ”

-- David Liddle, From Bringing Design to Software, edited by Terry Winograd, 1996 ”

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