2 citations · 3 across the 6 of their papers we have counts for
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cs.IR2020★ 1 cited
Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk
Diyah Puspitaningrum, Julio Fernando, Edo Afriando +3
Statistics based privacy-aware recommender systems make suggestions more powerful by extracting knowledge from the log of social contacts interactions, but unfortunately, they are…
cs.IR2020★ 2 cited
Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion
Diyah Puspitaningrum
This study introduces database expansion using the Minimum Description Length (MDL) algorithm to expand the database for better relation extraction. Different from other previous r…