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Algorithms and theory47205 (208)
Communication and collaboration47188 (177)
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Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, and Adith Swaminathan
We propose a system for mining videos from the web for supplementing the content of electronic textbooks in order to enhance their utility. Textbooks are generally organized into sections such that each section explains very few concepts and every concept is primarily explained in one section. Building upon these principles from the education literature and drawing upon the theory of Formal Concept Analysis, we define the focus of a section in terms of a few indicia, which themselves are combinations of...
Publication details
Date: 1 June 2014
Type: Inproceeding
Publisher: Springer
Andrew Putnam, Adrian Caulfield, Eric Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James R. Larus, Eric Peterson, Gopi Prashanth, Aaron Smith, Jason Thong, Phillip Yi Xiao, and Doug Burger
Publication details
Date: 1 June 2014
Type: Inproceeding
Jeffrey M. Rzeszotarski and Meredith Ringel Morris
Every day users of social networking services ask their followers and friends millions of questions. These friend-sourced questions not only provide informational benefits, but also may reinforce social bonds. However, there is a limit to how much a person may want to friendsource. They may be uncomfortable asking questions that are too private, might not want to expend others’ time or effort, or may feel as though they have already accrued too many social debts. These perceived social costs limit the...
Publication details
Date: 1 April 2014
Type: Inproceeding
Publisher: ACM
Munmun De Choudhury, Meredith Ringel Morris, and Ryen White
Search engines and social media are two of the most commonly used online services; in this paper, we examine how users appropriate these platforms for online health activities via both large-scale log analysis and a survey of 210 people. While users often turn to search engines to learn about serious or highly stigmatic conditions, a surprising amount of sensitive health information is also sought and shared via social media, in our case the public social plat-form Twitter. We contrast what health content...
Publication details
Date: 1 April 2014
Type: Inproceeding
Publisher: ACM
Catherine C. Marshall and Sian Lindley
We present findings from a qualitative study of self-search, also known as ego or vanity search. In the context of a broader study about personal online content, participants were asked to search for themselves using their own computers and the browsers and queries they would normally adopt. Our analysis highlights five motivations for self-search: as a form of identity management; to discover reactions to and reuse of user-generated media; to re-find personal content; as a form of entertainment; and to...
Publication details
Date: 1 April 2014
Type: Inproceeding
Publisher: ACM
Jaime Teevan, Meredith Ringel Morris, and Shiri Azenkot
Although most mobile search tools are designed for individuals, many mobile searches involve people searching with others. During these searches, people transition between individual and group search, moving closer to each other and sharing their screen while discussing search criteria and results. O-SNAP is a mobile application that explicitly supports in-person collaborative search by allowing users to physically signal their willingness to share and facilitating face-to-face search-related...
Publication details
Date: 1 March 2014
Type: Article
Yang Song, Weiwei Cui, Shixia Liu, and Kuansan Wang
We present a system to analyze user interests by analyzing their online behaviors from large-scale usage logs. We surmise that user interests can be characterized by a large collection of features we call the behavioral genes that can be deduced from both their explicit and implicit online behaviors. It is the goal of this research to sequence the entire behavioral genome for online population, namely, to identify the pertinent behavioral genes and uncover their relationships in explaining and predicting...
Publication details
Date: 1 March 2014
Type: Inproceeding
Publisher: ACM
Rakesh Agrawal, M. Hanif Jhaveri, and Krishnaram Kenthapadi
Education and learning are currently undergoing transformative changes due to the emergence of tablet devices, cloud computing, and abundant online content. These trends present opportunities to transform traditional paper-based textbooks into tablet-based electronic textbooks, and to further enrich the educational experience by augmenting them with relevant supplementary materials. A natural question is whether this educational intervention, namely, enriching textbooks with relevant web articles, images...
Publication details
Date: 1 March 2014
Type: Inproceeding
Publisher: ACM
Marios Kokkodis, Anitha Kannan, and Krishnaram Kenthapadi
The emergence of tablet devices, cloud computing, and abundant online multimedia content presents new opportunities to transform traditional paper-based textbooks into tablet-based electronic textbooks, and to further augment the educational experience by enriching them with relevant supplementary materials. Given a candidate set of relevant educational videos for augmenting an electronic textbook, how do we assign the videos at the appropriate granularity (a collection of logical units in the book)? We...
Publication details
Date: 1 March 2014
Type: Inproceeding
Publisher: ACM
Rakesh Agrawal, Behzad Golshan, and Evimaria Terzi
Given a class of large number of students, each exhibiting a different ability level, how can we form teams of students so that the expected performance of team members improves due to team participation? We take a computational perspective and formally define two versions of such team-formation problem: the MaxTeam and the MaxPartition problems. The first asks for the identification of a single team of students that improves the performance of most of the participating team members. The second asks for a...
Publication details
Date: 1 March 2014
Type: Inproceeding
Publisher: ACM
Yang Song, Hongning Wang, and Xiaodong He
RankNet is one of the widely adopted ranking models for web search tasks. However, adapting a generic RankNet for personalized search is little studied. In this paper, we first trained a variety of RankNets with different number of hidden layers and network structures on a per-user basis, and observed that a deep neural network with five hidden layers gives the best performance. To further improve the performance of adaptation, we propose a set of novel methods categorized into two groups. In the first...
Publication details
Date: 1 February 2014
Type: Inproceeding
Publisher: ACM
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, and Darren Gergle
In status message question asking (SMQA), members of social networking sites make use of status messages to express information needs to friends and contacts. We present findings from a laboratory study that examined 82 participants’ SMQA behaviors in the broader context of online information seeking. When given the option of using a search engine and/or a social network, we found that participants leveraged SMQA for 20% of their information needs, most often posing a question to their network in addition...
Publication details
Date: 1 February 2014
Type: Inproceeding
Publisher: ACM
Jaime Teevan, Meredith Ringel Morris, and Shiri Azenkot
Often when people search the web from their phones, they do so collaboratively. We present a mobile application that supports in-person collaborative search by allowing users to physically signal a willingness to share. While the core application provides standard mobile search functionality, users rotate their devices to landscape orientation to indicate (to the device and others) they are entering a collaborative mode. We study two uses of collaborative mode, one where users rate results to create a...
Publication details
Date: 1 February 2014
Type: Inproceeding
Publisher: ACM
Hongwei Li, Bo Zhao, and Ariel Fuxman
Worker reliability is a longstanding issue in crowdsourcing, and the automatic discovery of high quality workers is an important practical problem. Most previous work on this problem mainly focuses on estimating the quality of each individual worker jointly with the true answer of each task. However, in practice, for some tasks, worker quality could be associated with some explicit characteristics of the worker, such as education level, major and age. So the following question arises: how do we...
Publication details
Date: 1 January 2014
Type: Inproceeding
He Wang, Dimitrios Lymberopoulos, and Jie Liu
Local search users today decide what business to visit solely based on distance information, and business ratings that can be sparse or stale. We believe that when users search for local businesses, such as bars or restaurants, they need to know more about the ambience of each business, such as how crowded it is, how loud and of what type the music it plays is, as well as how loud the human chatter in the business is. Unfortunately, this information doesn't exist today. In this paper, we propose to...
Publication details
Date: 1 January 2014
Type: Inproceeding
Katja Hofmann, Anne Schuth, Alejandro Bellogin, and Maarten de Rijke
Measuring the quality of recommendations produced by a recommender system (RS) is challenging. Labels used for evaluation are typically obtained from users of a RS, by asking for explicit feedback, or inferring labels from implicit feedback. Both approaches can introduce significant biases in the evaluation process. We investigate biases that may affect labels inferred from implicit feedback. Implicit feedback is easy to collect but can be prone to biases, such as position bias. We examine this bias...
Publication details
Date: 1 January 2014
Type: Inproceeding
Publisher: Springer
tao mei, yong rui, shipeng li, and qi tian
The explosive growth and widespread accessibility of community contributed media content on the Internet have led to a surge of research activity in multimedia search. Approaches that apply text search techniques for multimedia search have achieved limited success as they entirely ignore visual content as a ranking signal. Multimedia search re-ranking, which reorders visual documents based on multimodal cues to improve initial text-only searches, has received increasing attention in recent years. Such a...
Publication details
Date: 1 January 2014
Type: Article
Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, and Adith Swaminathan
We propose a system for mining videos from the web for supplementing the content of electronic textbooks in order to enhance their utility. Textbooks are generally organized into sections such that each section explains very few concepts and every concept is primarily explained in one section. Building upon these principles from the education literature and drawing upon the theory of Formal Concept Analysis, we define the focus of a section in terms of a few indicia, which themselves are combinations of...
Publication details
Date: 1 January 2014
Type: Technical report
Number: MSR-TR-2014-5
Jeffrey M. Rzeszotarski, Emma S. Spiro, Jorge Nathan Matias, Andres Monroy-Hernandez, and Meredith Ringel Morris
In addition to posting news and status updates, many Twitter users post questions that seek various types of subjective and objective information. These questions are often labeled with “Q&A” hashtags, such as #lazyweb or #twoogle. We surveyed Twitter users and found they employ these Q&A hashtags both as a topical signifier (this tweet needs an answer!) and to reach out to those beyond their immediate followers (a community of helpful tweeters who monitor the hashtag). However, our log analysis of...
Publication details
Date: 1 January 2014
Type: Inproceeding
Publisher: ACM
Yuanhua Lv, Ariel Fuxman, and Ashok Chandra
Traditional IR applications assume that there is always enough space ("real estate'') available to display as many results as the system returns. Consequently, traditional evaluation metrics were typically designed to take a length cutoff k of the result list as a parameter. For example, one computes DCG@k, Prec@k, etc., based on the top-k results in the ranking list. However, there are important modern ranking applications where the result real estate is constrained to a small fixed space, such as the...
Publication details
Date: 1 January 2014
Type: Inproceeding
Publisher: ECIR'2014
Lu Wang, Larry Heck, and Dilek Hakkani-Tur
Training statistical dialog models in spoken dialog systems (SDS) requires large amounts of annotated data. The lack of scalable methods for data mining and annotation poses a significant hurdle for state-of-the-art SDS. This paper presents an approach that directly leverage billions of web search and browse sessions to overcome this hurdle. The key insight is that task completion through web search and browse sessions is (a) predictable and (b) generalizes to spoken dialog task completion. The new...
Publication details
Date: 1 January 2014
Type: Inproceeding
Publisher: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Omar Alonso, Dennis Fetterly, and Mark Manasse
In this paper, we investigate near-duplicate detection, particularly looking at the detection of evolving news stories. These stories often consist primarily of syndicated information, with local replacement of headlines, captions, and the addition of locally-relevant content. By detecting near-duplicates, we can offer users only those stories with content materially different from previously-viewed versions of the story. We expand on previous work and improve the performance of near-duplicate document...
Publication details
Date: 9 December 2013
Type: Inproceeding
Publisher: Springer Verlag
Doug Terry
Replicated storage systems for the cloud deliver different consistency guarantees to applications that are reading data. Invariably, cloud storage providers redundantly store data on multiple machines so that data remains available in the face of unavoidable failures. Replicating data across datacenters is not uncommon, allowing the data to survive complete site outages. However, the replicas are not always kept perfectly synchronized. Thus, clients that read the same data object from different servers can...
Publication details
Date: 1 December 2013
Type: Article
Publisher: ACM
Number: 12
Rakesh Agrawal
This paper summarizes the results of our recent investigations into how information propagates, how people assimilate information, and how people form relationships to gain information in Internet-centric social settings. It includes key ideas related to the role of the nature of information items in information diffusion as well as the notion of receptivity on part of the receiver and how it affects information assimilation and opinion formation. It describes a system that incorporates availability,...
Publication details
Date: 1 November 2013
Type: Technical report
Publisher: Microsoft Technical Report
Number: MSR-TR-2013-115
Tiezheng Ge, Kaiming He, Qifa Ke, and Jian Sun
Publication details
Date: 1 November 2013
Type: Article
Publisher: IEEE Computer Society
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