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  • Influence
Characterizing Microblogs with Topic Models
TLDR
A scalable implementation of a partially supervised learning model (Labeled LDA) that maps the content of the Twitter feed into dimensions that correspond roughly to substance, style, status, and social characteristics of posts is presented.
Understanding the relationship between searchers' queries and information goals
TLDR
It is found that searchers are more likely to be successful when the frequencies of the query and destination URL are similar, and it is shown that the benefits obtained by search and navigation actions depend on the frequency of the information goal.
To personalize or not to personalize: modeling queries with variation in user intent
TLDR
Variation in user intent is examined using both explicit relevance judgments and large-scale log analysis of user behavior patterns to identify queries that can benefit from personalization.
Understanding and predicting personal navigation
TLDR
An algorithm that predicts with very high accuracy which Web search result a user will click for one sixth of all Web queries, and builds an understanding of what personal navigation looks like, and identifies ways to improve its coverage and accuracy.
Direct answers for search queries in the long tail
TLDR
Tail Answers is introduced: a large collection of direct answers that are unpopular individually, but together address a large proportion of search traffic and suggest that search engines can be extended to directly respond to a large new class of queries.
Gaze and mouse coordination in everyday work
TLDR
The coordination between gaze and mouse is analyzed, showing that gaze often leads the mouse, but not as much as previously reported, and in ways that depend on the type of target.
SearchBuddies: Bringing Search Engines into the Conversation
TLDR
The experience of deploying SearchBuddies shows that a socially embedded search engine can successfully provide users with unique and highly relevant information in a social context and can be integrated into conversations around an information need.
Towards Supporting Search over Trending Events with Social Media
TLDR
It is found that search and social media activity tend to follow similar temporal patterns, but that social mediaActivity leads by a few hours, while user interest in trending event content predictably diverges during peak activity periods, the overlap between content searched and shared increases.
Privacy considerations for a pervasive eye tracking world
TLDR
Current research in gaze tracking and pupillometry is reviewed and it is argued that gaze data should be protected by both policy and good data hygiene.
A Crowd-Powered Socially Embedded Search Engine
TLDR
It is found that crowdsourced answers are similar in nature and quality to friendsourced answers, and that almost a third of all question askers provided unsolicited positive feedback upon receiving answers from this novel information agent.
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