RT @peterpaws: In the context of #RecSys2021 I checked which RecSys topic was most influential over the last 10 years. Judging by the Reco…
Recommender Systems Handbook
Springer US
RT @peterpaws: In the context of #RecSys2021 I checked which RecSys topic was most influential over the last 10 years. Judging by the Reco…
RT @peterpaws: In the context of #RecSys2021 I checked which RecSys topic was most influential over the last 10 years. Judging by the Reco…
If we exclude content-based recommendation and compare only personalization approaches based on user data, classic rating-based collaborative filtering is the winner with most downloads and citations since 2018 @mdekstrand @OrigamiTeacher @jkonstan htt…
In the context of #RecSys2021 I checked which RecSys topic was most influential over the last 10 years. Judging by the Recommender Systems Handbook, it is was still content-based recommendations by @pasqualelops @marcommis - 633 citations, 23K download…