Results 31 to 40 of about 7,593,003 (291)

A Flexible Two-Tower Model for Item Cold-Start Recommendation

IEEE Access, 2023
One of the main challenges in recommendation system is the item cold-start problem, where absence of historical interactions or ratings in new items makes recommendation difficult.
Won-Min Lee, Yoon-Sik Cho
doaj   +1 more source

A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System [PDF]

Artificial Intelligence in Education, 2020
Today’s intelligent tutoring systems provide more intelligent but complex services to learners. These systems encounter two critical issues: 1) the initial lack of new learner’s information for running complex services, and 2) new learners failing to actively interact with these complex services due to the initial unfamiliarity.
Pian Y, Lu Y, Huang Y, Bittencourt I.
europepmc   +4 more sources

The Cold-start Problem: Minimal Users' Activity Estimation

CoRR, 2021
1st Workshop on Recommender Systems for Television and online Video (RecSysTV) in conjunction with 8th ACM Conference on Recommender Systems ...
Juraj Visnovsky, Ondrej Kassák, Michal Kompan, Mária Bieliková   +3 more
openaire   +3 more sources

Dynamic models for start-up operations of batch distillation columns with experimental validation [PDF]

, 2004
The simulation of batch distillation columns during start-up operations is a very challenging modelling problem because of the complex dynamic behaviour. Only few rigorous models for distillation columns start-up are available in literature and generally
Elgue, Sébastien, Le Lann, Jean-Marc, Cabassud, Michel, Prat, Laurent E., Prat, Laurent, Cezerac, Jérome   +5 more
core   +1 more source

Predicting the popularity of new video for cold start problem

, 2021
Predicting video popularity is an important task involved in managing video-sharing sites. Although many previous studies have investigated this problem, a weakness common to these studies is that their predictions rely on video access data from the past.
張嘉玲
core   +1 more source

A DNN-Based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-Commerce

IEEE Open Journal of the Industrial Electronics Society, 2020
Many applications use recommender systems to predict user preferences, improve user experience, and increase the amount of sales. However, because of the cold-start problem, it is not easy to recommend items to new users accurately.
Hanxin Wang, Daichi Amagata, Takuya Makeawa, Takahiro Hara, Niu Hao, Kei Yonekawa, Mori Kurokawa   +6 more
doaj   +1 more source

A Hybrid POI Recommendation System Combining Link Analysis and Collaborative Filtering Based on Various Visiting Behaviors

ISPRS International Journal of Geo-Information, 2023
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user’s geographic location and contextual factors such as time, personal preference, and location categories.
Sumet Darapisut, Komate Amphawan, Nutthanon Leelathakul, Sunisa Rimcharoen   +3 more
doaj   +1 more source

Diesel engine emissions with oxygenated fuels: A comparative study into cold-start and hot-start operation [PDF]

, 2017
As biofuels are increasingly represented in the fuel market, the use of these oxygenated fuels should be evaluated under various engine operating conditions, such as cold-start.
Nabi, MN, Brown, Richard J., Hossain, FM, Bodisco, Timothy A., MM Rahman (7634612), Richard J. Brown, Farhad M. Hossain, A Zare (9215669), ZD Ristovski (9850646), Rahman, MM, Chu Van, T, Van, Thuy Chu, Hossain, Farhad M., Nabi, Md Nurun, Timothy A. Bodisco, FM Hossain (9850643), Md Nurun Nabi, M.M. Rahman, Ristovski, ZD, RJ Brown (9850649), T Chu Van (9882497), TA Bodisco (9850640), Zare, Ali, ,, Thuy Chu Van, Ristovski, Zoran D., Brown, RJ, Rahman, M.M., Zoran D. Ristovski, Zare, A, Md Nurun Nabi (9821945), Ali Zare, Bodisco, TA   +32 more
core   +1 more source

Text Mining to Alleviate the Cold-Start Problem of Adaptive Comparative Judgments

Frontiers in Education, 2022
Comparative judgments permit the assessment of open-ended student works by constructing a latent quality scale through repeated pairwise comparisons (i.e., which works “win” or “lose”).
Michiel De Vrindt, Wim Van den Noortgate, Wim Van den Noortgate, Dries Debeer, Dries Debeer, Dries Debeer   +5 more
doaj   +1 more source

The item selection problem for user cold-start recommendation

CoRR, 2020
When a new user just signs up on a website, we usually have no information about him/her, i.e. no interaction with items, no user profile and no social links with other users. Under such circumstances, we still expect our recommender systems could attract the users at the first time so that the users decide to stay on the website and become active ...
Yitong Meng, Jie Liu 0048, Xiao Yan 0002, James Cheng   +3 more
openaire   +3 more sources