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Sudheendra Hangal

 

Publications by Sudheendra Hangal (bibliography)

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2012
 
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Nagpal, Abhinay, Hangal, Sudheendra, Joyee, Rifat Reza and Lam, Monica S. (2012): Friends, Romans, countrymen: lend me your URLs. Using social chatter to personalize web search. In: Proceedings of ACM CSCW12 Conference on Computer-Supported Cooperative Work 2012. pp. 461-470. Available online

People often find useful content on the web via social media. However, it is difficult for users to aggregate the information and recommendations embedded in a torrent of social feeds like email and Twitter. At the same time, the ever-growing size of the web and attempts to spam commercial search engines make it a challenge for users to get search results relevant to their unique background and interests. To address this problem, we propose ways to let users mine their own social chatter and extract people, pages and sites of potential interest. This information can be used to effectively personalize their web search results. Our approach has the benefits of generating personalized and socially curated results, removing web spam and preserving user privacy. We have built a system called Slant to automatically mine a user's email and Twitter feeds and populate four personalized search indices that are used to augment regular web search. We evaluated these indices with users and found that the small slice of the web indexed using social chatter can produce results that are equally or better liked by users compared to personalized search by a commercial search engine. We find that user satisfaction with search results can be improved by combining the best results from multiple indices.

© All rights reserved Nagpal et al. and/or ACM Press

 
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Hangal, Sudheendra, Nagpal, Abhinay and Lam, Monica (2012): Effective browsing and serendipitous discovery with an experience-infused browser. In: Proceedings of the 2012 International Conference on Intelligent User Interfaces 2012. pp. 149-158. Available online

In the digital age, users can have perfect recall of their online experiences. In this paper, we explore how this recall can be leveraged during web browsing. We have built a system called the Experience-Infused Browser that indexes a user's digital history such as email and chat archives. As the user browses the web, it observes the contents of pages viewed, and appropriately highlights named entities on the page that the user has encountered in the past. This browser has two benefits. First, it highlights terms on the page that occur frequently in the user's communications, effectively personalizing the page for the user. Second, the system can remind the user of names that he has encountered in the past but may not remember. We evaluated how users reacted to the browser during organic web browsing. Our users have reported that it was useful on crowded web pages to surface content that they otherwise may have missed, and in recalling serendipitous connections to people that they had forgotten. Most of our users said they would use the browser beyond the experimental study, indicating that they derived clear benefit from it.

© All rights reserved Hangal et al. and/or ACM Press

2011
 
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Hangal, Sudheendra, Lam, Monica S. and Heer, Jeffrey (2011): MUSE: reviving memories using email archives. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 75-84. Available online

Email archives silently record our actions and thoughts over the years, forming a passively acquired and detailed life-log that contains rich material for reminiscing on our lives. However, exploratory browsing of archives containing thousands of messages is tedious without effective ways to guide the user towards interesting events and messages. We present Muse (Memories USing Email), a system that combines data mining techniques and an interactive interface to help users browse a long-term email archive. Muse analyzes the contents of the archive and generates a set of cues that help to spark users' memories: communication activity with inferred social groups, a summary of recurring named entities, occurrence of sentimental words, and image attachments. These cues serve as salient entry points into a browsing interface that enables faceted navigation and rapid skimming of email messages. In our user studies, we found that users generally enjoyed browsing their archives with Muse, and extracted a range of benefits, from summarizing work progress to renewing friendships and making serendipitous discoveries.

© All rights reserved Hangal et al. and/or ACM Press

 
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