Paper Citation Record · LEDGER

Cross-Domain Collaborative Filtering via Translation-based Learning

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.06169.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06169 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:02:14.142383Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy18
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90755351-5631-4005-b243-d9d9f132c280 · outbound

This paper cites Factorization machines.

Cross-Domain Collaborative Filtering via Translation-based Learning Factorization machines

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.537731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 056bdab3-eee4-487f-b6e5-2aef4e73eb05 · outbound

This paper cites Per- sonalized keyword boosting for venue suggestion based on multiple lbsns.

Cross-Domain Collaborative Filtering via Translation-based Learning Per- sonalized keyword boosting for venue suggestion based on multiple lbsns

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.519040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bcdd327-ce30-4dfa-bad4-ee5ce4add6c0 · outbound

This paper cites Can movies and books collaborate? cross-domain collaborative ﬁltering for sparsity reduction.

Cross-Domain Collaborative Filtering via Translation-based Learning Can movies and books collaborate? cross-domain collaborative ﬁltering for sparsity reduction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.501232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36d7e3fa-4de1-4b61-8289-05adf9975075 · outbound

This paper cites Cross-domain collaborative ﬁltering with factorization machines.

Cross-Domain Collaborative Filtering via Translation-based Learning Cross-domain collaborative ﬁltering with factorization machines

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.481125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1cbd1f7-0b88-449e-88ed-3eeef8b550e8 · outbound

This paper cites Top-n recommendation via joint cross-domain user clustering and similarity learning.

Cross-Domain Collaborative Filtering via Translation-based Learning Top-n recommendation via joint cross-domain user clustering and similarity learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.461599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c3f2ae5-b078-4961-8ec2-53122b0355c6 · outbound

This paper cites A collaborative ranking model for cross-domain recommendations.

Cross-Domain Collaborative Filtering via Translation-based Learning A collaborative ranking model for cross-domain recommendations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.438413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fefe0a7f-8d1f-4733-97e1-715d91017b56 · outbound

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

Cross-Domain Collaborative Filtering via Translation-based Learning Conet: Collaborative cross networks for cross-domain recommendation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.420347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3612704-f20c-4de1-8669-d6a239491f96 · outbound

This paper cites Cross-domain recommendation via cluster-level latent factor model.

Cross-Domain Collaborative Filtering via Translation-based Learning Cross-domain recommendation via cluster-level latent factor model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.399981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e6f3dc3-cae0-44f1-b3c4-c88d130843de · outbound

This paper cites Belongie, and Deborah Estrin.

Cross-Domain Collaborative Filtering via Translation-based Learning Belongie, and Deborah Estrin

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.381554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2d65625-e194-4f16-8c65-08d0d87b0728 · outbound

This paper cites Translation-based factorization machines for sequential recommendation.

Cross-Domain Collaborative Filtering via Translation-based Learning Translation-based factorization machines for sequential recommendation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.362158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb693bbd-2ff4-49ed-acd9-b4444775a509 · outbound

This paper cites Translation-based recommendation.

Cross-Domain Collaborative Filtering via Translation-based Learning Translation-based recommendation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.345543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5e1998ff-e556-4936-8170-a6b728908b35 · outbound

This paper cites Laplacian sparse coding, hypergraph laplacian sparse coding, and applications.

Cross-Domain Collaborative Filtering via Translation-based Learning Laplacian sparse coding, hypergraph laplacian sparse coding, and applications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.326222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1208544-4440-48b4-ac8e-1b63dbadff28 · outbound

This paper cites Cross-domain recommender systems.

Cross-Domain Collaborative Filtering via Translation-based Learning Cross-domain recommender systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.304408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d7da57b-bfc0-4e9d-8356-e8c872aeab9a · outbound

This paper cites Bpr: Bayesian personalized ranking from implicit feedback.

Cross-Domain Collaborative Filtering via Translation-based Learning Bpr: Bayesian personalized ranking from implicit feedback

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.285644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f775b15-4119-4318-b379-3e53db069bad · outbound

This paper cites Deep learning over multi- ﬁeld categorical data - - A case study on user response prediction.

Cross-Domain Collaborative Filtering via Translation-based Learning Deep learning over multi- ﬁeld categorical data - - A case study on user response prediction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.267484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6163931-b077-45b2-96d5-4d41fc046860 · outbound

This paper cites Adamic, and Bernardo A.

Cross-Domain Collaborative Filtering via Translation-based Learning Adamic, and Bernardo A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.248855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6b9eaf0-090c-45e9-a7eb-c6484db43509 · outbound

This paper cites Learning to rank with trust and distrust in recommender systems.

Cross-Domain Collaborative Filtering via Translation-based Learning Learning to rank with trust and distrust in recommender systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.227888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec5a6f8a-325f-4ab3-9042-1520bd19b5c7 · outbound

This paper cites Link injection for boosting information spread in social networks.

Cross-Domain Collaborative Filtering via Translation-based Learning Link injection for boosting information spread in social networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:02:14.137210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea8f077-9c40-401a-9b85-17cb4d910632 · outbound

This paper cites Repeat consumption recommendation based on users preference dynamics and side informa- tion.

Cross-Domain Collaborative Filtering via Translation-based Learning Repeat consumption recommendation based on users preference dynamics and side informa- tion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:02:14.190560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.