7 papers · ranked by Valyu relevance
Oxygen AIIC, Chan Long, Chao Liu, Chaofan Chen + 51 more
JD.com, one of the world's largest e-commerce platforms, serves over 700 million active users and millions of merchants, with a catalog of tens of billions of SKUs. At this scale, high-quality, structured item knowledge underpins a better consumer experience, lower management costs, and higher operational…
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu + 3 more
'Chenyu You' 'Philip S. Yu'] Recommendation systems suffer in the strict cold-start (SCS) scenario, where the user-item interactions are entirely unavailable. The well-established, dominating identity (ID)-based approaches completely fail to work. Cold-start recommenders, on the other hand, leverage item contents…
Oliver Kliegl, Karl-Heinz T. Bäuml
The pretesting effect refers to the finding that tests performed before to-be learned material is encountered can enhance later retention of the material, even when no correct answers were provided on the initial pretest. The goal of the present study was to examine whether interspersing pretest questions between the…
Jing Liu, Tao Xia, Danni Chen, Ziqing Yao + 4 more
Understanding how individual memory traces are reactivated during sleep is instrumental to the theorizing of memory consolidation, a process during which newly acquired information becomes stabilized and long-lasting. Via targeted memory reactivation (TMR), a technique that unobtrusively delivers learning-related…
Cécile Gal, Ioana Țincaș, Vasile V. Moca, Andrei Ciuparu + 4 more
Recognising objects is a vital skill on which humans heavily rely to respond quickly and adaptively to their environment. Yet, we lack understanding on the role visual information sampling plays in this process, and its relation to the individual’s priors. To bridge this gap, the eye-movements of 18 adult participants…
Manqian Liao, Hong Jiao, Qiwei He
Item quality is crucial to psychometric analyses for cognitive diagnosis. In cognitive diagnosis models (CDMs), item quality is often quantified in terms of item parameters (e.g., guessing and slipping parameters). Calibrating the item parameters with only item response data, as a common practice, could result in…
Junting Wang, Xinrui He, Yunzhe Li, Hari Sundaram
Semantic IDs (SIDs) are now a central component of generative recommendation. Current SID-based systems assign three roles to the same token sequence. Shared prefixes are intended to organize related items, the complete SID identifies an individual item, and each generated token narrows the items that can still be…