An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings

Research article (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018) · cited 19× · AI/ML
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An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings

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An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-information-retrieval-framework-for-contextual-suggestion-based-on-heterogeneous-information-network-embeddings
MLA “An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-information-retrieval-framework-for-contextual-suggestion-based-on-heterogeneous-information-network-embeddings.
BibTeX @misc{4ortxyz_an-information-retrieval-framework-for-contextual-suggestion-based-on-heterogeneous-information-network-embeddings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings}}, year = {2026}, url = {https://4ort.xyz/entity/an-information-retrieval-framework-for-contextual-suggestion-based-on-heterogeneous-information-network-embeddings}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings — https://4ort.xyz/entity/an-information-retrieval-framework-for-contextual-suggestion-based-on-heterogeneous-information-network-embeddings (retrieved 2026-05-24)

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