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Mikhail Fain

3 papers hereh-index 233 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IR2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedTowards Multi-Language Recipe Personalisation and Recommendation

6 citations · 6 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CL2021

Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora

Mikhail Fain, Niall Twomey, Danushka Bollegala

Cross-lingual text representations have gained popularity lately and act as the backbone of many tasks such as unsupervised machine translation and cross-lingual information retrie…

cs.IR2021

Evaluation of Field-Aware Neural Ranking Models for Recipe Search

Kentaro Takiguchi, Mikhail Fain, Niall Twomey +1

Explicitly modelling field interactions and correlations in complex document structures has recently gained popularity in neural document embedding and retrieval tasks. Although th…

cs.IR2020★ 6 cited

Towards Multi-Language Recipe Personalisation and Recommendation

Niall Twomey, Mikhail Fain, Andrey Ponikar +1

Multi-language recipe personalisation and recommendation is an under-explored field of information retrieval in academic and production systems. The existing gaps in our current un…

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