Paper Citation Record · LEDGER

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach

As of 16 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1908.05608.

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

pith.paper-citation-record.v1
1908.05608 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:41:05.268591Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact0
verified fuzzy14
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 967af7a8-a760-496f-b704-cdd6258d5bac · outbound

This paper cites Recommender systems.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Recommender systems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.581460Z

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 7553e61b-ae12-4cd6-af15-897b3715152d · outbound

This paper cites an unresolved cited work.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:41:05.565823Z

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 4134d3ae-5abd-4b2c-8dd4-105f406a2984 · outbound

This paper cites FNHSM_HRS: Hybrid recommender system based on fuzzy clustering heuristic similarity measure, 7th Iranian Fuzzy and Intelligent Systems Congress, 2019.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach FNHSM_HRS: Hybrid recommender system based on fuzzy clustering heuristic similarity measure, 7th Iranian Fuzzy and Intelligent Systems Congress, 2019

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.548506Z

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 b78a9b31-b103-4928-94ea-b8d52645e568 · outbound

This paper cites A new user similarity model to improve the accuracy of collaborative filtering, Knowledge-Based Systems, 56, 156-166, 2014.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach A new user similarity model to improve the accuracy of collaborative filtering, Knowledge-Based Systems, 56, 156-166, 2014

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.532850Z

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 724c3cae-d412-4423-82a1-ab937d8e7d70 · outbound

This paper cites Improvement of performance of hybrid recommender system using a neural network and resource allocation, Master's Thesis, K.N.Toosi University of Technology, Iran, Tehran, 2017.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Improvement of performance of hybrid recommender system using a neural network and resource allocation, Master's Thesis, K.N.Toosi University of Technology, Iran, Tehran, 2017

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.515669Z

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 f9e3a875-f4c6-423a-9ef7-fae7e30ec4f7 · outbound

This paper cites Using collaborative filtering to weave an information tapestry, Communications of the ACM, 35.12, 61-70, 1992.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Using collaborative filtering to weave an information tapestry, Communications of the ACM, 35.12, 61-70, 1992

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.496935Z

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 ba0c35e3-a76c-451d-b568-65b9ff736910 · outbound

This paper cites A new similarity measure for collaborative filtering to alleviate the new user cold -starting Problem, Information Sciences, 178.1, 37-51, 2008.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach A new similarity measure for collaborative filtering to alleviate the new user cold -starting Problem, Information Sciences, 178.1, 37-51, 2008

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.480290Z

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 e84b3c2c-41e7-42ed-8d32-23f361fb160d · outbound

This paper cites Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge & Data Engineering, 6, 734- 749, 2005.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge & Data Engineering, 6, 734- 749, 2005

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.462003Z

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 3cfe2cb8-1000-41a6-b2ce-2ec686f5b513 · outbound

This paper cites an unresolved cited work.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:41:05.445780Z

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 02c5e946-47a3-4774-93c2-309339697832 · outbound

This paper cites A collaborative filtering a roach to mitigate the new user cold start problem, Knowledge-Based Systems, 26, 225-238, 2012.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach A collaborative filtering a roach to mitigate the new user cold start problem, Knowledge-Based Systems, 26, 225-238, 2012

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.428047Z

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 fb91d2a2-a1e5-48d4-953e-f52d4c227967 · outbound

This paper cites User based Collaborative Filtering using fuzzy C-means, Measurement, 91,134- 139, 2016.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach User based Collaborative Filtering using fuzzy C-means, Measurement, 91,134- 139, 2016

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.410167Z

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 10c66ce6-7648-459e-b152-cf5709f7158e · outbound

This paper cites The link ‐ prediction problem for social networks.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach The link ‐ prediction problem for social networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.392854Z

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 082f9a88-ac9b-449b-a634-a4429bff67f5 · outbound

This paper cites Link prediction in complex networks: A survey.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Link prediction in complex networks: A survey

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.372731Z

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 cb11c44e-c39e-478b-8fe3-7b10510ab150 · outbound

This paper cites Suggesting friends using the implicit social graph.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Suggesting friends using the implicit social graph

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.355228Z

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 447e0131-60aa-4651-9e85-5b8bf54d7dfc · outbound

This paper cites Grocery shopping recommendations based on basket-sensitive random walk.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Grocery shopping recommendations based on basket-sensitive random walk

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.338212Z

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 c958033e-a2a4-400a-8d96-8ca4f894f005 · outbound

This paper cites GroupLens: a lying collaborative filtering to Usenet news, Communications of the ACM, 40.3, 77-87, 1997.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach GroupLens: a lying collaborative filtering to Usenet news, Communications of the ACM, 40.3, 77-87, 1997

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:41:05.321974Z

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 e2196240-fcbb-4a79-82f9-a2604aba17f2 · outbound

This paper cites an unresolved cited work.

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:41:05.305504Z

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.