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- research-articleJune 2022
An Effective Two-way Metapath Encoder over Heterogeneous Information Network for Recommendation
ICMR '22: Proceedings of the 2022 International Conference on Multimedia RetrievalJune 2022, Pages 90–98https://doi.org/10.1145/3512527.3531402Heterogeneous information networks (HINs) are widely used in recommender system research due to their ability to model complex auxiliary information beyond historical interactions to alleviate data sparsity problem. Existing HIN-based recommendation ...
- research-articleNovember 2021
Social Context-aware Person Search in Videos via Multi-modal Cues
ACM Transactions on Information Systems (TOIS), Volume 40, Issue 3Article No.: 52, Pages 1–25https://doi.org/10.1145/3480967Person search has long been treated as a crucial and challenging task to support deeper insight in personalized summarization and personality discovery. Traditional methods, e.g., person re-identification and face recognition techniques, which profile ...
- research-articleOctober 2018
Collaborative Filtering Recommendation Algorithm Based on Social Relation and Geographic Information
CSAE '18: Proceedings of the 2nd International Conference on Computer Science and Application EngineeringOctober 2018, Article No.: 14, Pages 1–7https://doi.org/10.1145/3207677.3278022Collaborative1 filtering algorithm has such problems as sparsity of raw data, low efficiency and accuracy of recommendation. To solve the problems, this paper proposed the collaborative filtering algorithm based on complementary conditions of social ...
- short-paperOctober 2018
Enhanced Network Embeddings via Exploiting Edge Labels
CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge ManagementOctober 2018, Pages 1579–1582https://doi.org/10.1145/3269206.3269270Network embedding methods aim at learning low-dimensional latent representation of nodes in a network. While achieving competitive performance on a variety of network inference tasks such as node classification and link prediction, these methods treat ...
- articleMarch 2016
A scheme of access service recommendation for the Social Internet of Things
International Journal of Communication Systems (IJOCS), Volume 29, Issue 4March 2016, Pages 694–706https://doi.org/10.1002/dac.2930The rapid increase in the complexity and the extent of personalization of services in the Internet of Things IoT has led to a greater demand for frequent collaboration among heterogeneous devices. Moreover, with the inseparable relations between human ...
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- posterApril 2014
SoRank: incorporating social information into learning to rank models for recommendation
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide WebApril 2014, Pages 409–410https://doi.org/10.1145/2567948.2577333Most existing learning to rank based recommendation methods only use user-item preferences to rank items, while neglecting social relations among users. In this paper, we propose a novel, effective and efficient model, SoRank, by integrating social ...
- ArticleNovember 2012
Social filtering using social relationship for movie recommendation
ICCCI'12: Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part INovember 2012, Pages 395–404https://doi.org/10.1007/978-3-642-34630-9_41Traditional recommendation systems provide appropriate information to a target user after analyzing user preferences based on user profiles and rating histories. However, most of people also consider the friend's opinions when they purchase some ...
- chapterAugust 2010
Social relation based search refinement: let your friends help you!
AMT'10: Proceedings of the 6th international conference on Active media technologyAugust 2010, Pages 475–485One of the major problems for search at Web scale is that the search results on the large scale data might be huge and the users have to browse to find the most relevant ones. Plus, due to the reason for the context, user requirement may diverse ...
- ArticleAugust 2010
Decoding Inter-individual Relations from Spatial Similarity of Brain Activity
WBD '10: Proceedings of the 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in NeuroimagingAugust 2010, Pages 29–31https://doi.org/10.1109/WBD.2010.18Classification-based data analysis is receiving increasing attention in neuroimaging. Here we decode the real-life relation between senders and perceivers of facial signals of affect by measuring the similarity of their brain activity during affective ...
- articleMay 2007
Understanding the Emerging C2C Electronic Market in China: An Experience-Seeking Social Marketplace
Electronic Markets (ELECM), Volume 17, Issue 2May 2007, Pages 86–100https://doi.org/10.1080/10196780701292468China's consumer-to-consumer (C2C) electronic market has been growing very rapidly. The largest Chinese online auction company. Eachnet. was purchased by eBay but faced tough competition from a new Chinese online auction company, Taobao. Now Taobao's ...