Structural relationship representation learning with graph embedding for personalized product search

S Liu, W Gu, G Cong, F Zhang - Proceedings of the 29th ACM …, 2020 - dl.acm.org
… to infer dynamic semantic representation for entities, which aim to … user specific query
representation huq and user specific product representation hup, we combine the two pathways by …

Two-level graph path reasoning for conversational recommendation with user realistic preference

R Zhao, S Ju, J Peng, N Yang, F Yan… - proceedings of the 31st …, 2022 - dl.acm.org
… and paths by combining the semantics of entities and relations. Xian et al. [26] design an
efficient algorithm based on beam-search to sample reasoning paths … with user-specific deep …

Path-based recommender system for learning activities using knowledge graphs

C Troussas, A Krouska - Information, 2022 - mdpi.com
… to find path-level commonalities for learning activities. The … recommendations as a user-specific
classification issue and … both the semantic representation of entities and relations and …

An approach to semantic-aware heterogeneous network embedding for recommender systems

P Pham, LTT Nguyen, NT Nguyen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
… of user–item nodes through different metapaths, our proposed … concept for describing a
sequence of entity types. These … and item nodes with regard to their user-specific (γi) and item-…

Exploring indirect entity relations for knowledge graph enhanced recommender system

Z He, B Hui, S Zhang, C Xiao, T Zhong… - Expert Systems with …, 2023 - Elsevier
… meanings with the latent semantic representation of the target … high-quality path instances
for building the meta-path based … In general, existing works find similar users depending only …

PerKGQA: Question answering over personalized knowledge graphs

R Dutt, K Bhattacharjee, R Gangadharaiah… - … of the Association for …, 2022 - aclanthology.org
… These resources have a corresponding user-specific tag (… ual paths, we pool across all
possible answer paths over the … semantic parsing or query-graph generation, to alleviate the …

Learning a hierarchical intent model for next-item recommendation

N Zhu, J Cao, X Lu, H Xiong - ACM Transactions on Information Systems …, 2021 - dl.acm.org
… personalities in their models by discovering user-specific frequent patterns. In contrast, the
work … shown as the red path of Figure 3. They have related semantic information with different …

TrustGo: Trust Mining and Multi-semantic Regularization in Social Recommendation

S Liu, Y Lan, X Deng, L Yi, C Zhu, L Yang… - Proceedings of the 2024 …, 2024 - dl.acm.org
… We introduce a meta-path based aggregation in this … in the future; 𝑔𝑣 is the user-specific
latent feature vector of trustees … Meanwhile, we define the initial entity space as Ω0. Then, we …

Personalized Relationships-Based Knowledge Graph for Recommender Systems with Dual-View Items

Z Liu, X Zhong, C Zhou - Symmetry, 2022 - mdpi.com
entities from a knowledge graph to represent semantic … the extracted path sequence using
relation and entity … function to transform the KG into a user-specific weighted graph. CKAN [18] …

Ubar: User behavior-aware recommendation with knowledge graph

X Wu, Y Li, J Wang, Q Qian, Y Guo - Knowledge-Based Systems, 2022 - Elsevier
… the intellectual semantic relevance of items into consideration … using hyper-meta-path,
which integrates multiple paths of … knowledge graphs into weighted user-specific graphs based …