"In Situ and Context-Aware Target Apps Selection for Unified Mobile Search" to appear at #CIKM2018; with Zamanii, Crestani, and Croft.
ISTAS data collection: bit.ly/ISTASpage
uSearch Android app code: bit.ly/uSearchOnGitHub
Our paper "In Situ and Context-Aware Target Apps Selection for Unified Mobile Search" with Zamani, Crestani, and Croft accepted as a full paper to #CIKM2018
Our full paper "A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion" w/ Dimitrios Rafailidis and Fabio Crestani accepted at #ICTIR2018
Our paper on personalized context-aware point of interest recommendation has been accepted at ACM TOIS; pre-print available here: http://bit.ly/2LS7P7n
@rosswilkinson (structured search,)
@bmitra (neural IR)
@aliannejadi (mobile IR, contextual suggestion)
@Claudia (search as learning,)
@AndrewTrotman (efficiency, ATIRE)
@wesselkraaij (language models, TRECVid)
@TomKenter (word embeddings)
@alansaid (recommender sys)
@joemon (social media analytics, multimodal interaction)
@dietz (IR and knowledge graphs)
@jik (once text genres, Gavagai)
"Target Apps Selection: Towards a Unified Search Framework for Mobile Devices" accepted as a full paper at #SIGIR2018 w/ Hamed Zamani, Fabio Crestani, and W. Bruce Croft.
From Twitter: crazy level of surveillance by Venmo!
#introductions I am a professor for Computer Science at the University of New Hampshire.
I develop algorithms for search engines. These often use knowledge graphs (such as from Wikipedia).
Mastodon's search makes my fingers itch. Maybe on a free weekend I will code up some better search for my toots.
In my spare time I love to go to the beach. Even if it is wicket cold. It is better than any meditation app.
@deeds @djoerd @Ian_soboroff @arjenpdevries @dolf @TheoH @IadhOunis @ifromm @anneschuth @suzan @seamuslawless @graus @bmitra @aliannejadi
There was a workshop on the next new thing in #IR just a couple of months ago #SWIRL. My guess is privacy preserving IR using homomorphic encryption will become important in industry. Someone will crack the problem and it will suddenly have a wealth of uses and interest from researchers.
@Ian_soboroff (runs TREC, yes sir)
@dolf (concept retrieval, MeSH)
@TheoH (logical IR, futurologist)
@IadhOunis (creator of Terrier!)
@ifromm (probabilistic logics, polyrepresentation)
@anneschuth (learning to rank, Google)
@suzan (question answering, early adopter Twitter)
@seamuslawless (personalization, search as learning)
For a brief yet informative introduction to I recommend:
Ph.D. Candidate at USI, Lugano, Switzerland. Mobile Information Retrieval, Contextual Suggestion.
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