RustRelevancy.sys.mjs

class RustRelevancy.sys.InterestMetrics()

Interest metrics that we want to send to Glean as part of the validation process. These contain the cosine similarity when comparing the user’s interest against various interest vectors that consumers may use.

Cosine similarly was chosen because it seems easy to calculate. This was then matched against some semi-plausible real-world interest vectors that consumers might use. This is all up for debate and we may decide to switch to some other metrics.

Similarity values are transformed to integers by multiplying the floating point value by 1000 and rounding. This is to make them compatible with Glean’s distribution metrics.

RustRelevancy.sys.InterestMetrics.top2interestSimilarity

type: number

The same as before, but the top 2 interests are copied. This measures the highest possible similarity with consumers that used interest vectors with a two interests (note: this means they would need to choose the user’s top two interests and have the exact same proportion between them as the user).

RustRelevancy.sys.InterestMetrics.top3interestSimilarity

type: number

The same as before, but the top 3 interests are copied.

RustRelevancy.sys.InterestMetrics.topSingleInterestSimilarity

type: number

Similarity between the user’s interest vector and an interest vector where the element for the user’s top interest is copied, but all other interests are set to zero. This measures the highest possible similarity with consumers that used interest vectors with a single interest set.

class RustRelevancy.sys.InterestVector()

Vector storing a count value for each interest

Here “vector” refers to the mathematical object, not a Rust Vec. It always has a fixed number of elements.

RustRelevancy.sys.InterestVector.animals: type: number

RustRelevancy.sys.InterestVector.arts: type: number

RustRelevancy.sys.InterestVector.autos: type: number

RustRelevancy.sys.InterestVector.business: type: number

RustRelevancy.sys.InterestVector.career: type: number

RustRelevancy.sys.InterestVector.education: type: number

RustRelevancy.sys.InterestVector.fashion: type: number

RustRelevancy.sys.InterestVector.finance: type: number

RustRelevancy.sys.InterestVector.food: type: number

RustRelevancy.sys.InterestVector.government: type: number

RustRelevancy.sys.InterestVector.hobbies: type: number

RustRelevancy.sys.InterestVector.home: type: number

RustRelevancy.sys.InterestVector.inconclusive: type: number

RustRelevancy.sys.InterestVector.news: type: number

RustRelevancy.sys.InterestVector.realEstate: type: number

RustRelevancy.sys.InterestVector.society: type: number

RustRelevancy.sys.InterestVector.sports: type: number

RustRelevancy.sys.InterestVector.tech: type: number

RustRelevancy.sys.InterestVector.travel: type: number

class RustRelevancy.sys.Interest()

List of possible interests for a domain. Domains can have be associated with one or multiple interests. Inconclusive is used for domains in the user’s top sites that we can’t classify because there’s no corresponding entry in the interest database.

RustRelevancy.sys.Interest.ANIMALS: ANIMALS

RustRelevancy.sys.Interest.ARTS: ARTS

RustRelevancy.sys.Interest.AUTOS: AUTOS

RustRelevancy.sys.Interest.BUSINESS: BUSINESS

RustRelevancy.sys.Interest.CAREER: CAREER

RustRelevancy.sys.Interest.EDUCATION: EDUCATION

RustRelevancy.sys.Interest.FASHION: FASHION

RustRelevancy.sys.Interest.FINANCE: FINANCE

RustRelevancy.sys.Interest.FOOD: FOOD

RustRelevancy.sys.Interest.GOVERNMENT: GOVERNMENT

RustRelevancy.sys.Interest.HOBBIES: HOBBIES

RustRelevancy.sys.Interest.HOME: HOME

RustRelevancy.sys.Interest.INCONCLUSIVE: INCONCLUSIVE

RustRelevancy.sys.Interest.NEWS: NEWS

RustRelevancy.sys.Interest.REAL_ESTATE: REAL_ESTATE

RustRelevancy.sys.Interest.SOCIETY: SOCIETY

RustRelevancy.sys.Interest.SPORTS: SPORTS

RustRelevancy.sys.Interest.TECH: TECH

RustRelevancy.sys.Interest.TRAVEL: TRAVEL

class RustRelevancy.sys.RelevancyApiError(): Errors we return via the public interface.

class RustRelevancy.sys.Unexpected(): Unexpected

RustRelevancy.sys.score(interestVector, contentCategories)

Calculate score for a piece of categorized content based on a user interest vector.

This scoring function is of the following properties: - The score ranges from 0.0 to 1.0 - The score is monotonically increasing for the accumulated interest count

# Params: - interest_vector: a user interest vector that can be fetched via RelevancyStore::user_interest_vector(). - content_categories: a list of categories (interests) of the give content. # Return: - A score ranges in [0, 1].

Returns:: number –