We're hiring (Frederik Zuiderveen Borgesius and me)!
A PhD Candidate for Fairness and Non-discrimination in Machine Learning for Information Retrieval and Recommendation
"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
@arjen yes, Trump's Travel Ban which is now approved by the Supreme Court and will be implemented as long as he is in power!
I'm all in for that ;-), great idea.
@arjen Wow there is a lot of good stuff here.
@arjen Oh yeah, that was dramatic. Saving CR7's penalty by our once-homeless goalkeeper was very sweet and made everyone forget about all the craze going on in politics nowadays.
@arjen I hope this will not discourage others from traveling to Iran.
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
SIGIR 2018 accepted papers list:
@arjen very interesting topic. I wish I was still a master student 😉
We are also looking for a PhD candidate, on a fully funded position:
The PhD candidate will study information retrieval over large and evolving graphs. How can we combine structured queries formulated in a graph query language with ’keyword’ queries, and express ranking functions that take into account the graph structure? What query processing techniques can enable scalable and efficient retrieval systems over evolving graphs?
We're hiring! PhD position on data-driven maintenance optimization.
@ujwal I also just arrived :-D
PhD Candidate at USI, Lugano.
Mobile IR, Contextual Suggestion
The "unofficial" Information Retrieval Mastodon Instance.
Goal: Make idf.social a viable and valuable social space for anyone working in Information Retrieval and related scientific research.
Everyone welcome but expect some level of geekiness on the instance and federated timelines.