interactions

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

interactions has 30 facts recorded in Dontopedia across 10 references, with 3 live disagreements.

30 facts·17 predicates·10 sources·3 in dispute

Mostly:rdf:type(11), data structure(2), loaded from(1)

Rdf:typein dispute`rdf:type`

Dataset^[1]all time · 755a2410 8559 42ef A748 3e6658f03631
Data Structure^[2]all time · D20f04e6 Ac24 40a3 Ba7d A928d5401600
Collection^[3]sourceall time · 51af00c3 127f 47f4 8b3a D5d09a4ce3ae
Dataset^[4]all time · 49e02d6b Df68 4157 B42b 97e2fef3499e
Input Data^[5]all time · C40e50f6 D3cb 4287 Bf31 Febe552c96cf
Dataset^[6]all time · 1da05a31 8d6c 42fb Be75 De09a6b68622
Collection^[7]all time · 0621d4bb 7085 423a 91ab Fbc7bec04974
Parameter^[8]all time · Bb48cb28 Dac4 4e76 8054 489138e7e97f
List^[9]all time · Bd94aa5c B14e 4fde 8de5 67b7299e0475
Software Relationship^[10]all time · B60c3b9c 1187 4408 B3fd 9a25ac0040f7

Inbound mentions (39)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`hasParameter`Has Parameter(6)

Algorithmex:algorithm
Feedback Loop Algorithmex:feedback-loop-algorithm
Log Inconsistenciesex:log_inconsistencies
Test Algorithmex:test-algorithm
Test Algorithmex:test-algorithm
Test Algorithmex:test_algorithm

`iteratesOver`Iterates Over(4)

For Loopex:for-loop
For Loopex:forLoop
Interaction Loopex:interaction-loop
Interaction Loopex:interaction_loop

`parameter`Parameter(3)

Feedback Algorithmex:feedback_algorithm
Len Functionex:len_function
Log Inconsistenciesex:log_inconsistencies

`derivedFrom`Derived From(2)

Test Interactionsex:test_interactions
Train Interactionsex:train_interactions

`addressedConcept`Addressed Concept(1)

Section 3ex:section-3

`affects`Affects(1)

Dependenciesex:dependencies

`argument2`Argument2(1)

Accuracy Calculationex:accuracy-calculation

`basedOnEvidenceFrom`Based on Evidence From(1)

Profileex:profile

`basedOnInteractions`Based on Interactions(1)

Detailed Psychological Profileex:detailed-psychological-profile

`calledWith`Called With(1)

Algorithmex:algorithm

`containsSubsection`Contains Subsection(1)

Section 3ex:section-3

`creates`Creates(1)

List Comprehensionex:list_comprehension

`extractedFrom`Extracted From(1)

True Ratingsex:true_ratings

`focusesOn`Focuses on(1)

Section 3ex:section-3

`functionArgument`Function Argument(1)

Accuracy Calculationex:accuracy_calculation

`hasBulletPoint`Has Bullet Point(1)

Section 3ex:section-3

`inspiredBy`Inspired by(1)

Words of Wisdomex:words-of-wisdom

`inverseOf`Inverse of(1)

Dependenciesex:dependencies

`involvesQuadraticInteractions`Involves Quadratic Interactions(1)

Lohe Modelsex:lohe-models

`isAppliedTo`Is Applied to(1)

Feedback Loop Algorithmex:feedback_loop_algorithm

`isExtractedFrom`Is Extracted From(1)

True Ratingsex:trueRatings

`loads`Loads(1)

Main Scriptex:main_script

`mustLearnContinuouslyFrom`Must Learn Continuously From(1)

Second in Command Botex:second-in-command-bot

`passes`Passes(1)

Test Algorithm Callex:test_algorithm_call

`processes`Processes(1)

Feedback Loop Algorithmex:feedback-loop-algorithm

`servesEntertainmentPurpose`Serves Entertainment Purpose(1)

Phrase Cows and Dogs Are Fatex:phrase-cows-and-dogs-are-fat

`teleologicallyShape`Teleologically Shape(1)

Traitsex:traits

`transforms`Transforms(1)

Data Conversionex:data-conversion

Other facts (17)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

17 facts

Predicate	Value	Ref
Data Structure	Numpy Array	[1]
Data Structure	Tuple or List	[8]
Loaded From	Interactions.npy	[1]
Is Parameter of	Test Algorithm	[1]
Stored As	Numpy Array	[2]
Load Method	Numpy.load	[2]
Load Parameter	allow_borrowline	[2]
Is Input to	Feedback Algorithm	[2]
Structure	Listof Dictionaries	[3]
Processed by	Feedback Loop Algorithm	[4]
Parameter of	Test Algorithm	[8]
Element Count	4	[8]
Parameter Name	interactions	[8]
Contains	Dictionary	[9]
Has Length	35000	[9]
Used in	Log Inconsistencies	[9]
Describes	Reformulation Logic	[10]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

30 undated

—

typebeam/755a2410-8559-42ef-a748-3e6658f03631

ex:Dataset

—

loadedFrombeam/755a2410-8559-42ef-a748-3e6658f03631

ex:interactions.npy

—

isParameterOfbeam/755a2410-8559-42ef-a748-3e6658f03631

ex:test_algorithm

—

dataStructurebeam/755a2410-8559-42ef-a748-3e6658f03631

ex:numpyArray

—

typebeam/d20f04e6-ac24-40a3-ba7d-a928d5401600

ex:DataStructure

—

storedAsbeam/d20f04e6-ac24-40a3-ba7d-a928d5401600

ex:numpy-array

—

loadMethodbeam/d20f04e6-ac24-40a3-ba7d-a928d5401600

ex:numpy.load

—

loadParameterbeam/d20f04e6-ac24-40a3-ba7d-a928d5401600

allow_borrowline

—

isInputTobeam/d20f04e6-ac24-40a3-ba7d-a928d5401600

ex:feedback_algorithm

—

typebeam/51af00c3-127f-47f4-8b3a-d5d09a4ce3ae

ex:Collection

—

structurebeam/51af00c3-127f-47f4-8b3a-d5d09a4ce3ae

ex:ListofDictionaries

—

typebeam/49e02d6b-df68-4157-b42b-97e2fef3499e

ex:Dataset

—

processedBybeam/49e02d6b-df68-4157-b42b-97e2fef3499e

ex:feedback-loop-algorithm

—

typebeam/c40e50f6-d3cb-4287-bf31-febe552c96cf

ex:InputData

—

labelbeam/c40e50f6-d3cb-4287-bf31-febe552c96cf

user-item interactions dataset

—

typebeam/1da05a31-8d6c-42fb-be75-de09a6b68622

ex:Dataset

—

typebeam/0621d4bb-7085-423a-91ab-fbc7bec04974

ex:Collection

—

labelbeam/0621d4bb-7085-423a-91ab-fbc7bec04974

interactions

—

typebeam/bb48cb28-dac4-4e76-8054-489138e7e97f

ex:Parameter

—

parameterOfbeam/bb48cb28-dac4-4e76-8054-489138e7e97f

ex:test-algorithm

—

dataStructurebeam/bb48cb28-dac4-4e76-8054-489138e7e97f

ex:TupleOrList

—

elementCountbeam/bb48cb28-dac4-4e76-8054-489138e7e97f

—

parameterNamebeam/bb48cb28-dac4-4e76-8054-489138e7e97f

interactions

—

typebeam/bd94aa5c-b14e-4fde-8de5-67b7299e0475

ex:List

—

containsbeam/bd94aa5c-b14e-4fde-8de5-67b7299e0475

ex:Dictionary

—

hasLengthbeam/bd94aa5c-b14e-4fde-8de5-67b7299e0475

35000

—

usedInbeam/bd94aa5c-b14e-4fde-8de5-67b7299e0475

ex:log_inconsistencies

—

typebeam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7

ex:SoftwareRelationship

—

describesbeam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7

ex:reformulation-logic

—

typebeam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7

ex:SoftwareConcept

References (10)

10 references

[1]755a2410 8559 42ef A748 3e6658f036314 facts
ctx:claims/beam/755a2410-8559-42ef-a748-3e6658f03631
- full textbeam-chunk
  text/plain1 KBdoc:beam/755a2410-8559-42ef-a748-3e6658f03631
  Show excerpt
  # Load the test interactions interactions = np.load("interactions.npy", allow_pickle=True) # Test the algorithm def test_algorithm(algorithm, interactions): true_ratings = [interaction['rating'] for interaction in interactions] pre…
[2]D20f04e6 Ac24 40a3 Ba7d A928d54016005 facts
ctx:claims/beam/d20f04e6-ac24-40a3-ba7d-a928d5401600
[3]51af00c3 127f 47f4 8b3a D5d09a4ce3ae2 facts
ctx:claims/beam/51af00c3-127f-47f4-8b3a-d5d09a4ce3ae
- full textbeam-chunk
  text/plain1 KBdoc:beam/51af00c3-127f-47f4-8b3a-d5d09a4ce3ae
  Show excerpt
  # Use SVD for matrix factorization algo = SVD() trainset = surprise_data.build_full_trainset() algo.fit(trainset) predictions = [] for interaction in interactions: pred = algo.predict(interaction['user_id'], …
[4]49e02d6b Df68 4157 B42b 97e2fef3499e2 facts
ctx:claims/beam/49e02d6b-df68-4157-b42b-97e2fef3499e
- full textbeam-chunk
  text/plain1 KBdoc:beam/49e02d6b-df68-4157-b42b-97e2fef3499e
  Show excerpt
  accuracy = test_algorithm(feedback_loop_algorithm, interactions) print(f"Accuracy: {accuracy:.2f}%") ``` Can you help me implement the `feedback_loop_algorithm` function and suggest ways to improve the accuracy? ->-> 6,10 [Turn 8939] Assis…
[5]C40e50f6 D3cb 4287 Bf31 Febe552c96cf2 facts
ctx:claims/beam/c40e50f6-d3cb-4287-bf31-febe552c96cf
[6]1da05a31 8d6c 42fb Be75 De09a6b686221 fact
ctx:claims/beam/1da05a31-8d6c-42fb-be75-de09a6b68622
- full textbeam-chunk
  text/plain1 KBdoc:beam/1da05a31-8d6c-42fb-be75-de09a6b68622
  Show excerpt
  self.partial_fit([(user_id, item_id, rating)]) # Monkey-patch the update method to the SVD class SVD.update = update # Re-test the algorithm with relevance scores accuracy_with_relevance = test_algorithm(feedback_loop_algorithm, i…
[7]0621d4bb 7085 423a 91ab Fbc7bec049742 facts
ctx:claims/beam/0621d4bb-7085-423a-91ab-fbc7bec04974
[8]Bb48cb28 Dac4 4e76 8054 489138e7e97f5 facts
ctx:claims/beam/bb48cb28-dac4-4e76-8054-489138e7e97f
[9]Bd94aa5c B14e 4fde 8de5 67b7299e04754 facts
ctx:claims/beam/bd94aa5c-b14e-4fde-8de5-67b7299e0475
- full textbeam-chunk
  text/plain1 KBdoc:beam/bd94aa5c-b14e-4fde-8de5-67b7299e0475
  Show excerpt
  detection_count += 1 if detection_count / len(interactions) >= detection_target: logger.info(f"Detection target reached: {detection_count} out of {len(interactions)}") …
[10]B60c3b9c 1187 4408 B3fd 9a25ac0040f73 facts
ctx:claims/beam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7
- full textbeam-chunk
  text/plain1 KBdoc:beam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7
  Show excerpt
  - **Analyze Existing Code**: Review the proof of concept that achieved 91% intent accuracy with 1,500 queries. - **Identify Similarities and Differences**: Compare the existing code with the remaining 70% of the reformulation logic to…

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.

interactions

Rdf:typein disputerdf:type

Inbound mentions (39)

hasParameterHas Parameter(6)

iteratesOverIterates Over(4)

parameterParameter(3)

derivedFromDerived From(2)

addressedConceptAddressed Concept(1)

affectsAffects(1)

argument2Argument2(1)

basedOnEvidenceFromBased on Evidence From(1)

basedOnInteractionsBased on Interactions(1)

calledWithCalled With(1)

containsSubsectionContains Subsection(1)

createsCreates(1)

extractedFromExtracted From(1)

focusesOnFocuses on(1)

functionArgumentFunction Argument(1)

hasBulletPointHas Bullet Point(1)

inspiredByInspired by(1)

inverseOfInverse of(1)

involvesQuadraticInteractionsInvolves Quadratic Interactions(1)

isAppliedToIs Applied to(1)

isExtractedFromIs Extracted From(1)

loadsLoads(1)

mustLearnContinuouslyFromMust Learn Continuously From(1)

passesPasses(1)

processesProcesses(1)

servesEntertainmentPurposeServes Entertainment Purpose(1)

teleologicallyShapeTeleologically Shape(1)

transformsTransforms(1)

Other facts (17)

Timeline

References (10)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`hasParameter`Has Parameter(6)

`iteratesOver`Iterates Over(4)

`parameter`Parameter(3)

`derivedFrom`Derived From(2)

`addressedConcept`Addressed Concept(1)

`affects`Affects(1)

`argument2`Argument2(1)

`basedOnEvidenceFrom`Based on Evidence From(1)

`basedOnInteractions`Based on Interactions(1)

`calledWith`Called With(1)

`containsSubsection`Contains Subsection(1)

`creates`Creates(1)

`extractedFrom`Extracted From(1)

`focusesOn`Focuses on(1)

`functionArgument`Function Argument(1)

`hasBulletPoint`Has Bullet Point(1)

`inspiredBy`Inspired by(1)

`inverseOf`Inverse of(1)

`involvesQuadraticInteractions`Involves Quadratic Interactions(1)

`isAppliedTo`Is Applied to(1)

`isExtractedFrom`Is Extracted From(1)

`loads`Loads(1)

`mustLearnContinuouslyFrom`Must Learn Continuously From(1)

`passes`Passes(1)

`processes`Processes(1)

`servesEntertainmentPurpose`Serves Entertainment Purpose(1)

`teleologicallyShape`Teleologically Shape(1)

`transforms`Transforms(1)