rating
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)
rating has 24 facts recorded in Dontopedia across 11 references, with 1 live disagreement.
Mostly:rdf:type(9), now on(1), attribute of(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (28)
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.
canFilterByCan Filter by(3)
- Google Maps
ex:google-maps - Yelp
ex:yelp - Yelp
ex:yelp
hasArgumentHas Argument(3)
- Model Update
ex:model-update - Partial Fit Call
ex:partial_fit_call - Update
ex:update
constrainsConstrains(1)
- Rating Scale Parameter
ex:rating-scale-parameter
containsContains(1)
- Interaction Structure
ex:interaction-structure
containsInfoContains Info(1)
- Processed Feedback Message
ex:processed_feedback_message
depends_onDepends on(1)
- Weighted Rating Calculation
ex:weighted_rating_calculation
elementIndexElement Index(1)
- Interaction
ex:interaction
extractsExtracts(1)
- Interaction Loop
ex:interaction-loop
filterOptionsFilter Options(1)
- Udemy
ex:udemy
hasAttributeHas Attribute(1)
- Feedback
ex:Feedback
hasComponentHas Component(1)
- Interaction
ex:interaction
hasFilterOptionsHas Filter Options(1)
- Google Maps
ex:google-maps
hasKeyHas Key(1)
- Feedback Data Example
ex:feedback_data_example
has_parameterHas Parameter(1)
- Update Method
ex:update_method
hasParameterHas Parameter(1)
- Validation Function
ex:validation-function
hasRequiredPropertyHas Required Property(1)
- Feedback Schema
ex:feedback_schema
includesThumbsUpIncludes Thumbs Up(1)
- Research Assistant Actions
ex:research-assistant-actions
multipliesMultiplies(1)
- Weighted Update
ex:weighted_update
optionalFieldOptional Field(1)
- Movie Log Format
ex:movie-log-format
predictsPredicts(1)
- Feedback Loop Algorithm Function
ex:feedback_loop_algorithm_function
searchFilterOptionsSearch Filter Options(1)
- Online Review Sites
ex:online-review-sites
usesUses(1)
- Training Loop
ex:training-loop
validatesDataTypeValidates Data Type(1)
- Parse Feedback
ex:parse_feedback
validatesRangeOfValidates Range of(1)
- Validation Function
ex:validation-function
Other facts (23)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Data Field | [3] |
| Rdf:type | Attribute | [4] |
| Rdf:type | Numeric Value | [5] |
| Rdf:type | Variable | [6] |
| Rdf:type | Variable | [7] |
| Rdf:type | Parameter | [8] |
| Rdf:type | Variable | [9] |
| Rdf:type | Attribute | [10] |
| Rdf:type | Quality Metric | [11] |
| Now on | Capital Value | [1] |
| Attribute of | Interaction | [2] |
| Is Part of | Columns | [3] |
| Type | Score | [5] |
| Used in | Validate Input | [7] |
| Valid Range Minimum | 1 | [8] |
| Valid Range Maximum | 5 | [8] |
| Parameter of | Validation Function | [8] |
| Data Type | Integer | [8] |
| Range Check Operator | Chained Comparison | [8] |
| Parameter Name | rating | [8] |
| Semantic Role | Target Variable | [8] |
| Attribute Type | Integer | [10] |
| Has Value | 5 | [10] |
Timeline
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.
References (11)
ctx:genes/rosie-reynolds-massacre-connection/trove-hartley-sykes-oconnor-cape-bedford-71921715ctx:claims/beam/755a2410-8559-42ef-a748-3e6658f03631- full textbeam-chunktext/plain1 KB
doc:beam/755a2410-8559-42ef-a748-3e6658f03631Show 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…
ctx:claims/beam/d20f04e6-ac24-40a3-ba7d-a928d5401600ctx:claims/beam/51af00c3-127f-47f4-8b3a-d5d09a4ce3ae- full textbeam-chunktext/plain1 KB
doc:beam/51af00c3-127f-47f4-8b3a-d5d09a4ce3aeShow 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'], …
ctx:claims/beam/49e02d6b-df68-4157-b42b-97e2fef3499e- full textbeam-chunktext/plain1 KB
doc:beam/49e02d6b-df68-4157-b42b-97e2fef3499eShow 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…
ctx:claims/beam/c40e50f6-d3cb-4287-bf31-febe552c96cfctx:claims/beam/0621d4bb-7085-423a-91ab-fbc7bec04974ctx:claims/beam/bb48cb28-dac4-4e76-8054-489138e7e97fctx:claims/beam/ebffcd44-e351-4905-b325-3e8f5a5157cfctx:claims/beam/76415427-4ffe-4efa-a986-8a662021707b- full textbeam-chunktext/plain1 KB
doc:beam/76415427-4ffe-4efa-a986-8a662021707bShow excerpt
feedback = Feedback(**feedback_data) # Process validated feedback process_feedback(feedback) except ValidationError as e: logger.error(f"FeedbackParseError: {e}") def process_feedback(feedback): # Ex…
ctx:claims/lme/6b12adfb-2dd1-4996-a0bb-f60bf75abd91- full textbeam-chunktext/plain13 KB
doc:beam/6b12adfb-2dd1-4996-a0bb-f60bf75abd91Show excerpt
[Session date: 2023/05/13 (Sat) 10:21] User: I'm trying to plan a baby gift for a friend's upcoming baby shower. I was thinking of getting a personalized blanket, but I'm not sure what to get. My cousin Rachel just had a baby boy named Max …
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