Search Results for author:
Found 8 papers, 2 papers with code
Organized Event Participant Prediction Enhanced by Social Media Retweeting Data
We create a joint knowledge graph to bridge the social media and the target domain, assuming that event descriptions and tweets are written in the same language.
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments
To address these challenges and contribute to research on machine recognition of work activities in industrial domains, in this study, we introduce a new large-scale dataset for packaging work recognition called OpenPack.
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
To address this data sparsity problem, cross-domain recommender systems (CDRSs) exploit the data from an auxiliary source domain to facilitate the recommendation on the sparse target domain.
Learned k-NN Distance Estimation
In such analysis, the distances to k nearest neighbors are usually employed, thus its main bottleneck is derived from data retrieval.
A General Method for Event Detection on Social Media
Event detection on social media has attracted a number of researches, given the recent availability of large volumes of social media discussions.
Using Social Media Background to Improve Cold-start Recommendation Deep Models
In this work, our goal is to investigate whether social media background can be used as extra contextual information to improve recommendation models.
Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub
In this paper, we address the problem of k nearest neighbor monitoring on a spatial-keyword data stream for a large number of subscriptions.
Databases
Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem
We propose a language-independent data-driven method to exhaustively extract bursty phrases of arbitrary forms (e. g., phrases other than simple noun phrases) from microblogs.
