How Medical Expertise Influences Web Search Interaction (2009)
Ryen W. White, Susan Dumais, Jaime Teevan
Domain expertise can have an important influence on how people search. In this poster we present findings from a log-based study into how medical domain experts search the Web for information related...
and Retrieval – query formulation; (2009)
Jaime Teevan, Susan T. Dumais, Daniel J. Liebling
In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of variation across queries...
computer supported cooperative work. (2009)
Jaime Teevan, Meredith Ringel Morris, Steve Bush
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collecting user profiles that...
Challenges for Supporting Faceted Search in Large, Heterogeneous Corpora like the Web (2009)
Jaime Teevan, Susan T. Dumais, Zachary Gutt
Faceted search systems help people find what they are looking by allowing them to specify not just keywords related to their information need, but also metadata. While such systems hold great...
Understanding Groups ’ Properties as a Means of Improving Collaborative Search Systems (2009)
Meredith Ringel Morris, Jaime Teevan
Understanding the similar properties of people involved in group search sessions has the potential to significantly improve collaborative search systems; such systems could be enhanced by information...
and Retrieval – query formulation; (2009)
Jaime Teevan, Susan T. Dumais, Daniel J. Liebling
In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of variation across queries...
Characterizing the Influence of Domain Expertise on Web Search Behavior (2009)
Ryen W. White, Susan T. Dumais, Jaime Teevan
Domain experts search differently than people with little or no domain knowledge. Previous research suggests that domain experts employ different search strategies and are more successful in finding...
The Web Changes Everything: Understanding the Dynamics of Web Content (2009)
Eytan Adar, Jaime Teevan, Susan T. Dumais, Jonathan L. Elsas
The Web is a dynamic, ever changing collection of information. This paper explores changes in Web content by analyzing a crawl of 55,000 Web pages, selected to represent different user visitation...
Understanding Groups' Properties as a Means of Improving Collaborative Search Systems (2009)
Morris, Meredith Ringel, Teevan, Jaime
Understanding the similar properties of people involved in group search sessions has the potential to significantly improve collaborative search systems; such systems could be enhanced by information...
From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search (2009)
André, Paul, Teevan, Jaime, Dumais, Susan T.
The act of encountering information unexpectedly has long been identified as valuable, both as a joy in itself and as part of task-focused problem solving. There has been a concern that highly...
Visual Snippets: Summarizing Web Pages for Search and Revisitation (2009)
Teevan, Jaime, Cutrell, Edward, Fisher, Danyel, Drucker, Steven M., Ramos, Gonzalo, André, Paul, ...
People regularly interact with different representations of Web pages. A person looking for new information may initially find a Web page represented as a short snippet rendered by a search engine....
The Perfect Search Engine is Not Enough: A Study of Orienteering Behavior in Directed Search (2009)
Mark S. Ackerman, Christine Alvarado, David Karger, Jaime Teevan
What: Sometimes, searching for electronic information can be a complex, multistage process, where a user’s information need evolves throughout the course of the search. On the other hand, often a...
The Re-Search Engine: Re-Finding in Dynamic Information Environments (2009)
What: It can be difficult to re-find information in dynamic information environments. For example, people often use search engines not just to find new information, but also to return to previously...
Discovery Is Never By Chance: Designing for (Un)Serendipity (2009)
André, Paul, Schraefel, M.c., Teevan, Jaime, Dumais, Susan T.
Serendipity has a long tradition in the history of science as having played a key role in many significant discoveries. Computer scientists, valuing the role of serendipity in discovery, have...
1. PEOPLE RELY ON CONSISTENCY WHEN SEARCHING … (2008)
Re-finding information is commonly cited as a problem on the Web. One reason re-finding on the Web is difficult is that while people rely on a considerable amount of context to return to information...
WWW WORKSHOP REPORT Query Log Analysis: Social and Technological Challenges (2008)
Analysis of search engine query logs is an important tool for developers and researchers. However, the potentially personal content of query logs raises a number of questions about the use of that...
“Where’d It Go?”: Re-Finding Information in the Changing Web (2008)
I investigate the under-explored but significant interaction of returning to dynamic information. For example, one might encounter an interesting link on a Web page, only to find on a subsequent...
We investigate the diverse goals that people have when they issue the same query to a search engine, and the ability of current search engines to address such diversity. We quantify the potential...
Finding an Exponential Model for Text Retrieval through Textual Analysis (2008)
The Problem: Text retrieval is a difficult problem that has become both more difficult and more important in recent years. The problem has grown due to the increased amount of electronic information...
Jason Rennie, Jaime Teevan, David Karger
• Multinomial Naive Bayes assumes that words are drawn independently from a multinomial p(�x; � θ) = (��x�1)! � d k=1 xk! • θk- chance of seeing word k d� (θk) xk (1) k=1 • xk-...
“Where’d it Go?”: How People Ask After Lost Web Information (2008)
ABSTRACT This paper investigates the way people described the difficulties they encountered when returning to information on the Web. It presents analysis of Web pages, collected via a Web search,...
Surviving the Information Explosion (2008)
Mark Ackerman, Christine Alvarado, David Karger, Jaime Teevan
The Problem: A typical person deals with a great deal of electronic information, and it can be overwhelming to keep track of it all. The problems that people have in interacting with large amounts of...
Cum laude, with distinction in major. (2008)
Jaime Teevan, Advisor Prof, David R. Karger, Committee Members, Prof Mark, S. Ackerman, ...
Research interests lie at the intersection of information retrieval, human-computer interaction, and machine learning, with the objective of helping people interact better with their personal...
We investigate the diverse goals that people have when they issue the same query to a search engine, and the ability of current search engines to address such diversity. We quantify the potential...
and Retrieval]: Online Information Services – Web-based services. General Terms (2008)
Thanks to the ubiquity of the Internet search engine search box, users have come to depend on search engines both to find and refind information. However, re-finding behavior has not been...
ACM 978-1-60558-012-8/08/04. The Disappearing Desktop (PIM 2008) Fifth Author (2008)
Jaime Teevan, William Jones, Authorco Inc
In an ideal world, we would always have the right information, in the right form, with the right context, right when we needed it. Unfortunately, we do not live in an ideal world. This workshop looks...
Meredith Ringel Morris, Jaime Teevan, Steve Bush
Collaboration on Web search is common in many domains, such as education and knowledge work; recently, HCI researchers have begun to introduce prototype collaborative search tools to support such...
Explosion: How People Find Their Electronic Information (2007)
Christine Alvarado, Jaime Teevan, Mark S. Ackerman, David Karger
Abstract: We report on a study of how people look for information within email, files, and the Web. When locating a document or searching for a specific answer, people relied on their contextual...
Information re-retrieval: Repeat queries in Yahoo‟s logs (2007)
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...
Information re-retrieval: repeat queries in yahoo’s logs (2007)
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...
Searching to eliminate personal information management (2006)
Edward Cutrell, Susan T. Dumais, Jaime Teevan
Search systems can alleviate the need to organize personal information by helping us find it no matter where we encountered it, what we remember about it, and even if we forget it exists. Delia wants...
Supporting Finding and Re-Finding through Personalization (2006)
Although one of the most common uses for the Internet to search for information, Web search tools often fail to connect people with what they are looking for. This is because search tools are...
Searching to eliminate personal information management (2006)
Edward Cutrell, Susan T. Dumais, Jaime Teevan
Search systems can alleviate the need to organize personal information by helping us find it no matter where we encountered it, what we remember about it, and even if we forget it exists. Delia wants...
Personalizing search via automated analysis of interests and activities (2005)
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than relying on the...
Beyond the Commons: Investigating the Value of Personalizing Web Search (2005)
Jaime Teevan, Susan T. Dumais, Eric Horvitz
We investigate the diverse goals people have when they issue the same query to a Web search engine, and the ability of current search tools to address such diversity, in order to understand the...
Personalizing Search via Automated Analysis of Interests and Activities (2005)
Jaime Teevan, Susan T. Dumais, Eric Horvitz
We formulate and study search algorithms that consider a user's prior interactions with a wide variety of content to personalize that user's current Web search. Rather than relying on the...
How People Re-find Information When the Web Changes (2004)
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page,...
How People Re-find Information When the Web Changes (2004)
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page,...
How People Re-find Information When the Web Changes (2004)
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page,...
How People Re-find Information When the Web Changes (2004)
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page,...
The perfect search engine is not enough: A study of orienteering behavior in directed search (2004)
Jaime Teevan, Christine Alvarado, Mark S. Ackerman, David R. Karger
This paper presents a modified diary study that investigated how people performed personally motivated searches in their email, in their files, and on the Web. Although earlier studies of directed...
Information When The, Jaime Teevan
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page,...
The perfect search engine is not enough: A study of orienteering behavior in directed search (2004)
Jaime Teevan, Christine Alvarado, Mark S. Ackerman, David R. Karger
This paper presents a modified diary study that investigated how people performed personally motivated searches in their email, in their files, and on the Web. Although earlier studies of directed...
Surviving the Information Explosion: How People Find Their Electronic Information (2003)
Alvarado, Christine, Teevan, Jaime, Ackerman, Mark S., Karger, David
We report on a study of how people look for information within email, files, and the Web. When locating a document or searching for a specific answer, people relied on their contextual knowledge of...
Surviving the Information Explosion: How People Find Their Electronic Information (2003)
Alvarado, Christine, Teevan, Jaime, Ackerman, Mark S., Karger, David
We report on a study of how people look for information within email, files, and the Web. When locating a document or searching for a specific answer, people relied on their contextual knowledge of...
Much work in information retrieval focuses on using a model of documents and queries to derive retrieval algorithms. Model based development is a useful alternative to heuristic development because...
Tackling the Poor Assumptions of Naive Bayes Text Classifiers (2003)
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such e#ciency possible but also adversely affect the quality of...
Surviving the information explosion: how people find their electronic information (2003)
Christine Alvarado, Jaime Teevan, Mark S. Ackerman, David Karger
Abstract: We report on a study of how people look for information within email, files, and the Web. When locating a document or searching for a specific answer, people relied on their contextual...
Tackling the Poor Assumptions of Naive Bayes Text Classifiers (2003)
Lawrence Shih, Jaime Teevan, David R. Karger
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely affect the quality of...
Much work in information retrieval focuses on using a model of documents and queries to derive retrieval algorithms. Model based development is a useful alternative to heuristic development because...
Displaying Dynamic Information (2001)
Jaime Teevan Massachusetts, Jaime Teevan
In this paper I introduce the problem of displaying dynamic information. I give several examples where an individual must interact with information that is changing beyond her control. The challenge...
Displaying dynamic information (2001)
In this paper I introduce the problem of displaying dynamic information. I give several examples where an individual must interact with information that is changing beyond her control. The challenge...