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...
What Should Blog Search Look Like? Marti A. (2009)
Matthew Hurst, Susan T. Dumais
Blog search has not yet reached its full potential. In this position paper, we suggest that more could be done to accommodate the task of finding good blogs to read, especially with respect to...
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...
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...
What Should Blog Search Look Like? Marti A. (2009)
Matthew Hurst, Susan T. Dumais
Blog search has not yet reached its full potential. In this position paper, we suggest that more could be done to accommodate the task of finding good blogs to read, especially with respect to...
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...
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...
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...
Edward Cutrell, Susan T. Dumais
INFORMATION When we look for information in large or unfamiliar sources such as the Web or an encyclopedia, it is almost second nature to use a search engine to help us find what we need. Yet until...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifiers. We introduce a...
Fast, Flexible Filtering with Phlat - Personal Search and Organization Made Easy (2006)
Edward Cutrell, Daniel C. Robbins, Susan T. Dumais, Raman Sarin
Systems for fast search of personal information are rapidly becoming ubiquitous. Such systems promise to dramatically improve personal information management, yet most are modeled on Web search in...
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...
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...
Graph-based Text Classification: Learn from Your Neighbors (2006)
Angelova, Ralitsa, Weikum, Gerhard, Efthimiadis, Efthimis N., Dumais, Susan T., Hawking, David, Jaervelin, Kalervo
Automatic classification of data items, based on training samples, can be boosted by considering the neighborhood of data items in a graph structure (e.g., neighboring documents in a hyperlink...
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...
Inductive Transfer for Text Classification (2003)
Using Generalized Reliability, Paul N. Bennett, Susan T. Dumais, Eric Horvitz
Machine-learning researchers face the omnipresent challenge of developing predictive models that converge rapidly in accuracy with increases in the quantity of scarce labeled training data. We...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifiers. We introduce a...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifiers. We introduce a...
Automatic Cross-Language Information Retrieval using Latent Semantic Indexing (1998)
Michael Littman, Susan T. Dumais, Thomas K. Landauer
We descride a method for fully automated cross-language document retrieval in which no query translation is required. Queries in one language can retrieve documents in other languages (as well as the...
Automatic Cross-Language Information Retrieval using Latent Semantic Indexing (1998)
Michael Littman, Susan T. Dumais, Thomas K. Landauer
this document as a bag of freely intermingled French and English words. A set of training documents like this is analyzed using LSI, and the result is a reduced dimension semantic space in which...
Automatic Cross-Language Retrieval Using Latent Semantic Indexing (1997)
We describe a method for fully automated cross-language document retrieval in which no query translation is required. Queries in one language can retrieve documents in other languages (as well as the...
Combining Evidence for Effective Information Filtering (1996)
As part of NIST/ARPA's TREC Workshop, we used Latent Semantic Indexing (LSI) for filtering 336k incoming documents from diverse sources (newswires, patents technical abstracts) for 50 topics of...
Latent semantic indexing (lsi): Trec-3 report (1995)
This paper reports on recent developments of the Latent Semantic Indexing (LSI) retrieval method for TREC-3. LSI uses a reduced-dimension vector space to represent words and documents. An important...
Computational Methods for Intelligent Information Access (1995)
Michael W. Berry, Susan T. Dumais, Todd A. Letsche
Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users ' requests and those in or assigned to documents in a...
Using Linear Algebra for Intelligent Information Retrieval (1995)
Susan T. Dumais, Michael Berry, Michael W. Berry, T. Dumais
. Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a...
Using Linear Algebra for Intelligent Information Retrieval (1995)
M. W. Berry, S.T. Dumais, G.W. O'Brien, Michael W. Berry, Susan T. Dumais
. Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a...
A Case Study of Latent Semantic Indexing (1995)
Michael W. Berry, S.T. Dumais, A.T. Shippy, Michael W. Berry, Susan T. Dumais
In this report, a study and analysis of the effectiveness of the Latent Semantic Indexing Retrieval System (LSIRS) is presented. Using a Motif-based X-Windows application, LSIRS uses the truncated...
Latent Semantic Indexing (LSI) and TREC-2 (1994)
this paper. The "ltc" weights were computed on this matrix. 3.2 SVD analysis
LSI meets TREC: A Status Report (1993)
this article as a query, no relevant articles about virtual reality were returned. Now that we have a larger number of hopefully more accurate relevance judgements, we will repeat this basic...
Automating the assignment of submitted manuscripts to reviewers (1992)
Susan T. Dumais, Jakob Nielsen
The 117 manuscripts submitted for the Hypertext'91 conference were assigned to members of the review committee, using a variety of automated methods based on information retrieval principles and...
Enhancing Performance in Latent Semantic Indexing (LSI) Retrieval (1992)
We have previously described an extension of the vector retrieval method called "Latent Semantic Indexing" (LSI) (Deerwester, et al., 1990; Dumais, et al., 1988; Furnas, et al., 1988). The...
Automating the assignment of submitted manuscripts to reviewers (1992)
Susan T. Dumais, Jakob Nielsen
Abstract time and at a more or less leisurely pace. For conference The 117 manuscripts submitted for the Hypertext’91 conference were assigned to members of the review committee, using a variety of...
Iterative Searching In An Online Database (1991)
Susan T. Dumais, Deborah G. Schmitt
An experiment examined how people use an online retrieval system. Subjects solved general topical search problems using a database containing the full text of news articles (e.g., find articles about...
Indexing by latent semantic analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. L, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents (“semantic...
Indexing by latent semantic analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Indexing by latent semantic analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Indexing by latent semantic analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Indexing by Latent Semantic Analysis (1990)
Scott Deerwester Graduate, Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Indexing by Latent Semantic Analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Indexing by latent semantic analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Indexing by latent semantic analysis (1990)
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic...
Using Latent Semantic Analysis To Improve Access To Textual Information (1988)
Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Scott Deerwester, Richard Harshman
This paper describes a new approach for dealing with the vocabulary problem in human-computer interaction. Most approaches to retrieving textual materials depend on a lexical match between words in...
Perceptual learning in automatic detection, processes and mechanisms /--by Susan T. Dumais. (1979)
Vita.
Learned Vector-Space Models for Document Retrieval
William Caid, Susan T. Dumais, Stephen I. Gallant
this paper. LSI is an extension of the vector retrieval method (e.g., Salton & McGill,1983) in which the dependencies between terms are explicitly taken into account in the representation and...