Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation | Paper Citation Record

Observation 91c470ce-4c2c-488d-9f2a-1df4ed598e9c · outbound

This paper cites An mdp-based recommender system,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation An mdp-based recommender system,

Reference 1

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Observation fd738ed5-e47c-4bd1-aa83-ccd875e85c75 · outbound

This paper cites Translation- based recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Translation- based recommendation,

Reference 2

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Observation 402f3d16-f81f-4f95-8560-fe1feaede108 · outbound

This paper cites Fusing similarity models with markov chains for sparse sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Fusing similarity models with markov chains for sparse sequential recommendation,

Reference 3

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Observation 5605d8a0-740f-48cc-b517-38ea00b64bfa · outbound

This paper cites Neural attentive session-based recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Neural attentive session-based recommendation,

Reference 4

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Observation 77eb84aa-0de3-49cb-b6fb-5f5dacd26c97 · outbound

This paper cites π-net: A parallel information-sharing network for shared-account cross-domain sequential recommendations,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation π-net: A parallel information-sharing network for shared-account cross-domain sequential recommendations,

Reference 5

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Observation cf9ad148-42a2-412f-8215-cc2f8f8b64cc · outbound

This paper cites Sequential recommendation via cross-domain novelty seeking trait mining,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Sequential recommendation via cross-domain novelty seeking trait mining,

Reference 6

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Observation 0574086d-4957-4410-a3fc-34fb3c8141a7 · outbound

This paper cites Da-gcn: A domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Da-gcn: A domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation,

Reference 7

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Observation b949b986-b458-4367-96b4-b711301e8ae8 · outbound

This paper cites Semi: A sequential multi-modal information transfer network for e-commerce micro-video recommenda- tions,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Semi: A sequential multi-modal information transfer network for e-commerce micro-video recommenda- tions,

Reference 8

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Observation cbc5acd5-8ca0-4d08-ae7c-3235c9692b1a · outbound

This paper cites Contrastive cross-domain sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Contrastive cross-domain sequential recommendation,

Reference 9

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Observation e6efbf15-d430-40d6-aa3b-a4e94b8daf65 · outbound

This paper cites Recguru: Adversarial learning of generalized user representations for cross-domain recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Recguru: Adversarial learning of generalized user representations for cross-domain recommendation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.371025Z

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Observation 2f7bdd02-00b2-45f1-a019-cf165803775e · outbound

This paper cites Mixed information flow for cross-domain sequential recommendations,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Mixed information flow for cross-domain sequential recommendations,

Reference 11

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Observation 47e879f7-59e2-4ad4-8399-cfd7c980423b · outbound

This paper cites The cognitive science of visual-spatial displays: Im- plications for design,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation The cognitive science of visual-spatial displays: Im- plications for design,

Reference 12

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Observation 5326061f-8681-4654-82bc-6031c6001356 · outbound

This paper cites Benefits of multisensory learning,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Benefits of multisensory learning,

Reference 13

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Observation 22913d99-367a-48c9-9fab-0dcc7deed4bb · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Learning transferable visual models from natural language supervision,

Reference 14

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Observation 3ca4caef-f97b-433a-845e-f214a23d9a3c · outbound

This paper cites SLCF-Net: Sequential LiDAR-camera fusion for semantic scene completion using a 3D recurrent U-Net,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation SLCF-Net: Sequential LiDAR-camera fusion for semantic scene completion using a 3D recurrent U-Net,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.313333Z

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Observation f81a14c9-dd49-4209-ae96-da13bb33e948 · outbound

This paper cites OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:46.240676Z

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Observation cbb7e89c-470d-4a18-b59a-89a73806db5d · outbound

This paper cites SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving

Reference 17

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Observation 90400390-fbc3-4759-b7f6-ae00f386c7f3 · outbound

This paper cites DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 18

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Observation 17c37df4-0344-41ab-98f6-fd11d358a9f5 · outbound

This paper cites CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation

Reference 19

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Observation 44e484ef-5bed-41bb-9931-4524da913e0d · outbound

This paper cites Ich-prnet: a cross-modal intracerebral haemorrhage prognostic pre- diction method using joint-attention interaction mechanism,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Ich-prnet: a cross-modal intracerebral haemorrhage prognostic pre- diction method using joint-attention interaction mechanism,

Reference 20

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This paper cites Ich-scnet: Intracerebral hemorrhage segmentation and prognosis classification net- work using clip-guided sam mechanism,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Ich-scnet: Intracerebral hemorrhage segmentation and prognosis classification net- work using clip-guided sam mechanism,

Reference 21

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Observation 4951b309-6343-46d1-be64-8e814ab7abd1 · outbound

This paper cites Towards visual-prompt temporal answer grounding in instructional video,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Towards visual-prompt temporal answer grounding in instructional video,

Reference 22

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Observation 93412dc5-e94b-4612-8319-252b7542a166 · outbound

This paper cites Distinct but correct: generating diver- sified and entity-revised medical response,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Distinct but correct: generating diver- sified and entity-revised medical response,

Reference 23

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Observation 2c9e330d-adf0-4043-8d40-553d03f39363 · outbound

This paper cites Towards better chinese-centric neural machine translation for low-resource languages,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Towards better chinese-centric neural machine translation for low-resource languages,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.247851Z

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Observation 3e386d96-34c4-4d5a-81e8-87568fcc3b85 · outbound

This paper cites Image protection scheme for bridge management systems based on quantum coupling function,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Image protection scheme for bridge management systems based on quantum coupling function,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.236454Z

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Observation 90df496d-261d-43eb-a21e-5db28af52321 · outbound

This paper cites A smart agriculture image protection scheme based on annealing algorithm and affine transformation is optimized for s-box generated by chaos,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation A smart agriculture image protection scheme based on annealing algorithm and affine transformation is optimized for s-box generated by chaos,

Reference 26

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Observation 3ce7d3f5-b62d-4fa9-aebf-7ae55871514f · outbound

This paper cites MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering

Reference 27

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Observation 489e1a0b-0e5e-4969-9eb3-d714b18f26d3 · outbound

This paper cites Multimodal com- monsense knowledge distillation for visual question answering (student abstract),.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Multimodal com- monsense knowledge distillation for visual question answering (student abstract),

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.213295Z

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Observation 05200c19-6621-4989-969e-42f547e3e8dd · outbound

This paper cites Diverse cotraining makes strong semi- supervised segmentor,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Diverse cotraining makes strong semi- supervised segmentor,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.201180Z

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Observation 7eabf484-0ee0-481b-aa45-92d2f1652427 · outbound

This paper cites Core Knowledge Deficits in Multi-Modal Language Models.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Core Knowledge Deficits in Multi-Modal Language Models

Reference 30

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Observation 6667b670-725b-42f3-921c-1a3e8363a7af · outbound

This paper cites Egoprivacy: What your first-person cam- era says about you?,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Egoprivacy: What your first-person cam- era says about you?,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.188605Z

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Observation 2ce88839-9bb5-4d05-b359-3dd6b025318c · outbound

This paper cites Cracknex: a few-shot low-light crack segmentation model based on retinex theory for uav inspections,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Cracknex: a few-shot low-light crack segmentation model based on retinex theory for uav inspections,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.177209Z

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Observation b008a288-3c36-4e0f-938a-b9301c8e7231 · outbound

This paper cites Event-guided low-light video semantic segmentation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Event-guided low-light video semantic segmentation,

Reference 33

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Observation 2508f257-f9a2-4e74-983d-5e83288f1b4a · outbound

This paper cites Two-dimensional hyperchaos-based encryption and compression algorithm for agricultural uav-captured planar images,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Two-dimensional hyperchaos-based encryption and compression algorithm for agricultural uav-captured planar images,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.165587Z

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Observation ea97f24d-0d59-4ab8-9971-3a6f1fb48db3 · outbound

This paper cites Adaptive attention-enhanced yolo for wall crack detection.,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Adaptive attention-enhanced yolo for wall crack detection.,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.153904Z

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Observation ee7eb8cb-823a-4846-a2d6-9a8fba978efb · outbound

This paper cites Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.142723Z

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Observation be043f40-3a84-4eee-85e7-b10d0bd223d0 · outbound

This paper cites Spiking Point Transformer for Point Cloud Classification.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Spiking Point Transformer for Point Cloud Classification

Reference 37

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Observation 1f56f714-eba4-46af-8847-193b79b0301d · outbound

This paper cites Generative prompt controlled diffusion for weakly supervised semantic segmentation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Generative prompt controlled diffusion for weakly supervised semantic segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.131602Z

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Observation 371ca21d-a4c7-4c9d-8d74-80279ed7711c · outbound

This paper cites What’s in a name? a large-scale computational study on how competition between names affects naming variation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation What’s in a name? a large-scale computational study on how competition between names affects naming variation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.119484Z

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Observation bf19b399-0250-41f4-9a7d-8984a7a373b2 · outbound

This paper cites Vispa (vision spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Vispa (vision spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.106254Z

Source-reported events for the cited work

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Observation e918f33f-6c98-4d94-9fe3-dda47010f0f0 · outbound

This paper cites Prompt Categories Cluster for Weakly Supervised Semantic Segmentation.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

Reference 41

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Observation 263bcee6-5d38-40ef-81ba-0b039fcfd5ea · outbound

This paper cites Learning to gen- erate text-grounded mask for open-world semantic segmentation from only image-text pairs,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Learning to gen- erate text-grounded mask for open-world semantic segmentation from only image-text pairs,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.094387Z

Source-reported events for the cited work

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Observation d72f938e-c58c-48ce-aff6-465ba2c66717 · outbound

This paper cites Sequential recommender systems: challenges, progress and prospects,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Sequential recommender systems: challenges, progress and prospects,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.079599Z

Source-reported events for the cited work

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Observation 3cb257df-d189-4c25-8890-0635e7f7316b · outbound

This paper cites Factorizing personalized markov chains for next-basket recommenda- tion,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Factorizing personalized markov chains for next-basket recommenda- tion,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.066933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8911f24-a1bd-47ac-b17d-44509468a1b9 · outbound

This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Empirical evaluation of gated recurrent neural networks on sequence modeling,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.054115Z

Source-reported events for the cited work

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Observation 1a9fcb09-e1ee-40d7-9c1d-dcdf0c57e483 · outbound

This paper cites Long short-term memory,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Long short-term memory,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:46.361752Z

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Observation 4d58c964-b85f-4a77-a129-e00a0686093c · outbound

This paper cites Convolutional networks for images, speech, and time series,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Convolutional networks for images, speech, and time series,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.035171Z

Source-reported events for the cited work

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Observation 32532ef8-e3de-4922-93a3-72175a061cf1 · outbound

This paper cites Attention is all you need,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Attention is all you need,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.022093Z

Source-reported events for the cited work

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Observation 5c9d5bf9-4e91-4b5b-bc8d-cec680aedd7a · outbound

This paper cites Session-based recommendations with recurrent neural networks,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Session-based recommendations with recurrent neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:47.009231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5b95ceb-804c-41a8-8e09-4f7388065a5e · outbound

This paper cites Deep interest evolution network for click-through rate prediction,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Deep interest evolution network for click-through rate prediction,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.995270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7d28701-3ba7-4aae-b8b2-bcdfd0bd684e · outbound

This paper cites Personalized top-n sequential recommen- dation via convolutional sequence embedding,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Personalized top-n sequential recommen- dation via convolutional sequence embedding,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.977337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7e25f1f-ff89-4215-b3bc-4ed2bfcf9c7b · outbound

This paper cites Self-attentive sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Self-attentive sequential recommendation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.965532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1bbdead-8405-47f6-a786-faa4de1dc2c2 · outbound

This paper cites Deep interest network for click-through rate prediction,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Deep interest network for click-through rate prediction,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.953270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0730007d-831d-4f5a-820c-6f10a9d9094d · outbound

This paper cites Sequential recommendation with graph neural networks,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Sequential recommendation with graph neural networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.940848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da2ddbb5-3b04-425c-a07d-648dc2daa250 · outbound

This paper cites Dual-interest factorization- heads attention for sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Dual-interest factorization- heads attention for sequential recommendation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.928577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e9872d2-c87c-4e83-bdab-861c4c62c1e3 · outbound

This paper cites Dual contrastive network for sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Dual contrastive network for sequential recommendation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.915746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3fbd613-8b14-4301-981f-1bf98698f1e3 · outbound

This paper cites Cross-domain recommender systems,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Cross-domain recommender systems,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.902699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b75265e1-952f-403e-80e9-f7a5893a34bc · outbound

This paper cites Image fusion for cross-domain sequential recommenda- tion,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Image fusion for cross-domain sequential recommenda- tion,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.889884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f865df0-de7f-494c-a600-081d44b370cf · outbound

This paper cites Relation- fused attention in knowledge graphs for recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Relation- fused attention in knowledge graphs for recommendation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.878423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c5819f4-9560-4016-8186-8bb1382f80fc · outbound

This paper cites Relational learning via collective matrix factorization,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Relational learning via collective matrix factorization,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.867583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2dbf4334-4b0d-474f-b2cb-ba3adc1f0cc6 · outbound

This paper cites A survey on transfer learning,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation A survey on transfer learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.856787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a984aaf-eef1-4c3a-99ef-736cc8845087 · outbound

This paper cites Minet: Mixed interest network for cross-domain click-through rate prediction,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Minet: Mixed interest network for cross-domain click-through rate prediction,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.844311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6efa34d0-4c9c-4d5b-a8b7-3a8b8272edca · outbound

This paper cites Conet: Collaborative cross networks for cross-domain recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Conet: Collaborative cross networks for cross-domain recommendation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.833251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34b249ad-16cf-4c76-a5cc-ad04d7096a06 · outbound

This paper cites Transfer learning in collaborative filtering for sparsity reduction,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Transfer learning in collaborative filtering for sparsity reduction,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.821729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdf47baa-8615-4283-b394-592ecbff4605 · outbound

This paper cites Easytime: Time series forecasting made easy,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Easytime: Time series forecasting made easy,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.808736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a310d11-ecdd-4ec4-9d84-fa5bfb716787 · outbound

This paper cites Duet: Dual clustering enhanced multivariate time series forecasting,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Duet: Dual clustering enhanced multivariate time series forecasting,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.797410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d811883-e55e-4ad5-82ed-6d74a74f4b51 · outbound

This paper cites Self-attentive sequential recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Self-attentive sequential recommendation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.786221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be8a8d89-b1bf-4560-94bd-842e83323fa6 · outbound

This paper cites Contrastive learning for cold-start recommendation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Contrastive learning for cold-start recommendation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.774496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a80aa0b4-d1e2-4915-a2db-1a79e96294c2 · outbound

This paper cites The trec-8 question answering track report,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation The trec-8 question answering track report,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.762445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0efee68b-0f60-46ed-b860-cbfd28113e1a · outbound

This paper cites Cumulated gain-based eval- uation of ir techniques,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Cumulated gain-based eval- uation of ir techniques,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.749965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6487fb43-d399-4dca-9628-38dcf42a2345 · outbound

This paper cites Adam: A method for stochastic optimization,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Adam: A method for stochastic optimization,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.738580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8517275-5d3a-4964-9eab-ff896e78fce3 · outbound

This paper cites Session-based recommendation with graph neural networks,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Session-based recommendation with graph neural networks,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.725864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e66a1369-f09f-4e58-bafe-d423045b0dc0 · outbound

This paper cites Triple sequence learning for cross-domain recommen- dation,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Triple sequence learning for cross-domain recommen- dation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.713819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 084d785e-8046-4000-9282-bc3731931a7a · outbound

This paper cites Parallel split-join networks for shared account cross-domain sequential recommendations,.

Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Parallel split-join networks for shared account cross-domain sequential recommendations,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:46.700811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers