output
20092024
most citedA Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients

227 citations

Showing cs.IRShow all

5 papers · 1 filter

cs.IR2018

Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient?

Liron Allerhand, Brit Youngmann, Elad Yom-Tov +1

Parkinson's disease (PD) is a slowly progressing neurodegenerative disease with early manifestation of motor signs. Recently, there has been a growing interest in developing automa…

cs.IR2017★ 10 cited

Evidence from web-based dietary search patterns to the role of B12 deficiency in chronic pain

Eitan Giat, Elad Yom-Tov

Profound vitamin B12 deficiency is a known cause of disease, but the role of low or intermediate levels of B12 in the development of neuropathy and other neuropsychiatric symptoms…

cs.IR2016★ 27 cited

Predicting drug recalls from Internet search engine queries

Elad Yom-Tov

Batches of pharmaceutical are sometimes recalled from the market when a safety issue or a defect is detected in specific production runs of a drug. Such problems are usually detect…

cs.IR2016★ 4 cited

CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations

Oren Barkan, Noam Koenigstein, Eylon Yogev +1

In Recommender Systems research, algorithms are often characterized as either Collaborative Filtering (CF) or Content Based (CB). CF algorithms are trained using a dataset of user…

cs.IR2016★ 24 cited

Inferring individual attributes from search engine queries and auxiliary information

Luca Soldaini, Elad Yom-Tov

Internet data has surfaced as a primary source for investigation of different aspects of human behavior. A crucial step in such studies is finding a suitable cohort (i.e., a set of…