“Understanding Mobile Search Task Relevance and User Behaviour in Context” to appear in

• Perpeint: bit.ly/2ScBVG8

• Source code of the app used to collect data, called Omicron: bit.ly/2S4VZKE

“Understanding Mobile Search Task Relevance and User Behaviour in Context” to appear in

• Perpeint: bit.ly/2ScBVG8

• Source code of the app used to collect data, called Omicron: bit.ly/2S4VZKE

"In Situ and Context-Aware Target Apps Selection for Unified Mobile Search" to appear at ; with Zamanii, Crestani, and Croft.

Preprint: bit.ly/2Nzi1Sz

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

Our full paper "A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion" w/ Dimitrios Rafailidis and Fabio Crestani accepted at

Our paper on personalized context-aware point of interest recommendation has been accepted at ACM TOIS; pre-print available here: bit.ly/2LS7P7n

"Target Apps Selection: Towards a Unified Search Framework for Mobile Devices" to appear at .
Preprint: goo.gl/BVmR9Y
Data: goo.gl/WCKRzd

: More Information Retrieval researchers joined the fediverse lately:

@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)
@fthopf (lifelogging)
@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 w/ Hamed Zamani, Fabio Crestani, and W. Bruce Croft.

#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.

- Search tool for mastodon

first version is live (v0.5) 🍹

Soot is personal search and only shows toots from your home timeline.

Mastodon.social users can try it here: smart-cactus.org:5000

Source code: github.com/laura-dietz/soot

KG4IR Tutorial at SIGIR 2018! .. if you like it you can also attend the KG4IR Workshop, then submit to the KG4IR Special Issue at the IRJ

@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 just a couple of months ago . 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.

: Who to follow to keep up with Information Retrieval research?

@Ian_soboroff (runs TREC, yes sir)

@arjenpdevries (multimedia, IR centipede)

@deeds (entity retrieval & TREC CAR)

@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)

@Ian_soboroff @arjenpdevries @deeds @dolf @TheoH @IadhOunis @ifromm @anneschuth @suzan @seamuslawless There's no "friend recommendations" on @Mastodon, so we need to help each other here: Who's up for creating a friend recommendation bot?

Cool: Participate in CENTRE and reproduce cool information retrieval research. Also, this is the 1st joint TREC, CLEF, NTCIR, task, ever!

centre-eval.org

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