feat(home): 크리에이터 랭킹 점수 정책을 변경한다

This commit is contained in:
2026-07-10 14:42:25 +09:00
parent 9c67e870f6
commit c7b6d0d7c5
4 changed files with 124 additions and 111 deletions

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package kr.co.vividnext.sodalive.v2.ranking.domain
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.databind.SerializationFeature
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule
import com.fasterxml.jackson.module.kotlin.jacksonObjectMapper
import java.time.LocalDateTime
data class CreatorRankingScoreDetail(
val scorePolicyVersion: String = CreatorRankingScoreSpec.SCORE_POLICY_VERSION,
val formula: String = CreatorRankingScoreSpec.FORMULA,
val metrics: Metrics,
val tieBreakers: TieBreakers
) {
fun toJson(): String = objectMapper.writeValueAsString(this)
data class Metrics(
val liveRevenue: Metric,
val contentRevenue: Metric,
val followIncrease: Metric,
val aiChat: Metric
)
data class Metric(
val rawValue: Long,
val rank: Int,
val rankScore: Double,
val weight: Double,
val weightedScore: Double
)
data class TieBreakers(
val creatorDebutAt: LocalDateTime?,
val creatorId: Long
)
companion object {
private val objectMapper: ObjectMapper = jacksonObjectMapper()
.registerModule(JavaTimeModule())
.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS)
}
}

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@@ -1,49 +1,24 @@
package kr.co.vividnext.sodalive.v2.ranking.domain
class CreatorRankingScorePolicy {
fun calculateContentLiveScore(
liveCanAmount: Long,
contentPurchaseCanAmount: Long
): Double {
return (liveCanAmount * CreatorRankingScoreSpec.CONTENT_LIVE_CAN_WEIGHT) +
(contentPurchaseCanAmount * CreatorRankingScoreSpec.CONTENT_PURCHASE_CAN_WEIGHT)
fun calculateRankScore(rawValue: Long, rank: Int): Double {
if (rawValue <= 0L) return 0.0
return (100 - (5 * (rank - 1))).coerceAtLeast(0).toDouble()
}
fun calculateEngagementScore(
contentLikeCount: Long,
contentCommentCount: Long
): Double {
return (contentLikeCount * CreatorRankingScoreSpec.CONTENT_LIKE_COUNT_WEIGHT) +
(contentCommentCount * CreatorRankingScoreSpec.CONTENT_COMMENT_COUNT_WEIGHT)
}
fun calculateSupportScore(
channelDonationCanAmount: Long,
channelDonationCount: Long,
fanTalkCount: Long
): Double {
return (channelDonationCanAmount * CreatorRankingScoreSpec.CHANNEL_DONATION_CAN_WEIGHT) +
(channelDonationCount * CreatorRankingScoreSpec.CHANNEL_DONATION_COUNT_WEIGHT) +
(fanTalkCount * CreatorRankingScoreSpec.FAN_TALK_COUNT_WEIGHT)
}
fun calculateFanLoyaltyScore(
finalFollowerCount: Long,
followIncrease: Long
): Double {
return (finalFollowerCount * CreatorRankingScoreSpec.FINAL_FOLLOWER_COUNT_WEIGHT) +
(followIncrease * CreatorRankingScoreSpec.FOLLOW_INCREASE_WEIGHT)
fun normalizeFollowIncrease(value: Long): Long {
return value.coerceAtLeast(0L)
}
fun calculateFinalScore(
contentLiveScore: Double,
engagementScore: Double,
supportScore: Double,
fanLoyaltyScore: Double
liveRevenueRankScore: Double,
contentRevenueRankScore: Double,
followIncreaseRankScore: Double,
aiChatRankScore: Double
): Double {
return (contentLiveScore * CreatorRankingScoreSpec.CONTENT_LIVE_SCORE_WEIGHT) +
(engagementScore * CreatorRankingScoreSpec.ENGAGEMENT_SCORE_WEIGHT) +
(supportScore * CreatorRankingScoreSpec.SUPPORT_SCORE_WEIGHT) +
(fanLoyaltyScore * CreatorRankingScoreSpec.FAN_LOYALTY_SCORE_WEIGHT)
return (liveRevenueRankScore * CreatorRankingScoreSpec.LIVE_REVENUE_WEIGHT) +
(contentRevenueRankScore * CreatorRankingScoreSpec.CONTENT_REVENUE_WEIGHT) +
(followIncreaseRankScore * CreatorRankingScoreSpec.FOLLOW_INCREASE_WEIGHT) +
(aiChatRankScore * CreatorRankingScoreSpec.AI_CHAT_WEIGHT)
}
}

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@@ -1,21 +1,12 @@
package kr.co.vividnext.sodalive.v2.ranking.domain
object CreatorRankingScoreSpec {
const val CONTENT_LIVE_CAN_WEIGHT = 0.7
const val CONTENT_PURCHASE_CAN_WEIGHT = 0.3
const val SCORE_POLICY_VERSION = "CREATOR_WEEKLY_POPULARITY_V2"
const val FORMULA = "liveRevenueRankScore * 0.6 + contentRevenueRankScore * 0.2 + " +
"followIncreaseRankScore * 0.1 + aiChatRankScore * 0.1"
const val CONTENT_LIKE_COUNT_WEIGHT = 0.5
const val CONTENT_COMMENT_COUNT_WEIGHT = 0.5
const val CHANNEL_DONATION_CAN_WEIGHT = 0.6
const val CHANNEL_DONATION_COUNT_WEIGHT = 0.2
const val FAN_TALK_COUNT_WEIGHT = 0.2
const val FINAL_FOLLOWER_COUNT_WEIGHT = 0.7
const val FOLLOW_INCREASE_WEIGHT = 0.3
const val CONTENT_LIVE_SCORE_WEIGHT = 0.35
const val ENGAGEMENT_SCORE_WEIGHT = 0.3
const val SUPPORT_SCORE_WEIGHT = 0.25
const val FAN_LOYALTY_SCORE_WEIGHT = 0.1
const val LIVE_REVENUE_WEIGHT = 0.6
const val CONTENT_REVENUE_WEIGHT = 0.2
const val FOLLOW_INCREASE_WEIGHT = 0.1
const val AI_CHAT_WEIGHT = 0.1
}

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@@ -1,76 +1,81 @@
package kr.co.vividnext.sodalive.v2.ranking.domain
import com.fasterxml.jackson.databind.JsonNode
import com.fasterxml.jackson.module.kotlin.jacksonObjectMapper
import org.junit.jupiter.api.Assertions.assertEquals
import org.junit.jupiter.api.Assertions.assertTrue
import org.junit.jupiter.api.DisplayName
import org.junit.jupiter.api.Test
import java.time.LocalDateTime
class CreatorRankingScorePolicyTest {
private val policy = CreatorRankingScorePolicy()
@Test
@DisplayName("콘텐츠/라이브 점수는 라이브 계열 캔 70%와 콘텐츠 구매 캔 30%를 raw value로 계산한")
fun shouldCalculateContentLiveScore() {
assertEquals(0.7, CreatorRankingScoreSpec.CONTENT_LIVE_CAN_WEIGHT, 0.0001)
assertEquals(0.3, CreatorRankingScoreSpec.CONTENT_PURCHASE_CAN_WEIGHT, 0.0001)
val score = policy.calculateContentLiveScore(liveCanAmount = 1000, contentPurchaseCanAmount = 200)
assertEquals(760.0, score, 0.0001)
@DisplayName("순위 점수는 rank 1/2/20/21 경계와 raw value 0 강제 0점을 따른")
fun shouldCalculateRankScoreBoundaries() {
assertEquals(100.0, policy.calculateRankScore(rawValue = 10, rank = 1), 0.0001)
assertEquals(95.0, policy.calculateRankScore(rawValue = 10, rank = 2), 0.0001)
assertEquals(5.0, policy.calculateRankScore(rawValue = 10, rank = 20), 0.0001)
assertEquals(0.0, policy.calculateRankScore(rawValue = 10, rank = 21), 0.0001)
assertEquals(0.0, policy.calculateRankScore(rawValue = 0, rank = 1), 0.0001)
}
@Test
@DisplayName("참여 반응 점수는 좋아요 수와 댓글 수를 각각 50% raw value로 계산한")
fun shouldCalculateEngagementScore() {
assertEquals(0.5, CreatorRankingScoreSpec.CONTENT_LIKE_COUNT_WEIGHT, 0.0001)
assertEquals(0.5, CreatorRankingScoreSpec.CONTENT_COMMENT_COUNT_WEIGHT, 0.0001)
val score = policy.calculateEngagementScore(contentLikeCount = 40, contentCommentCount = 20)
assertEquals(30.0, score, 0.0001)
}
@Test
@DisplayName("응원 점수는 채널 후원 캔/건수와 팬 Talk 수를 raw value로 계산한다")
fun shouldCalculateSupportScore() {
assertEquals(0.6, CreatorRankingScoreSpec.CHANNEL_DONATION_CAN_WEIGHT, 0.0001)
assertEquals(0.2, CreatorRankingScoreSpec.CHANNEL_DONATION_COUNT_WEIGHT, 0.0001)
assertEquals(0.2, CreatorRankingScoreSpec.FAN_TALK_COUNT_WEIGHT, 0.0001)
val score = policy.calculateSupportScore(
channelDonationCanAmount = 1000,
channelDonationCount = 10,
fanTalkCount = 20
)
assertEquals(606.0, score, 0.0001)
}
@Test
@DisplayName("팬 충성도 점수는 음수 팔로우 증가 수를 최종 점수에 그대로 반영한다")
fun shouldCalculateFanLoyaltyScoreWithNegativeFollowIncrease() {
assertEquals(0.7, CreatorRankingScoreSpec.FINAL_FOLLOWER_COUNT_WEIGHT, 0.0001)
assertEquals(0.3, CreatorRankingScoreSpec.FOLLOW_INCREASE_WEIGHT, 0.0001)
val score = policy.calculateFanLoyaltyScore(finalFollowerCount = 100, followIncrease = -10)
assertEquals(67.0, score, 0.0001)
}
@Test
@DisplayName("최종 점수는 카테고리별 점수에 PRD 가중치를 적용하고 0~100 정규화하지 않는다")
fun shouldCalculateFinalScoreWithoutNormalization() {
assertEquals(0.35, CreatorRankingScoreSpec.CONTENT_LIVE_SCORE_WEIGHT, 0.0001)
assertEquals(0.3, CreatorRankingScoreSpec.ENGAGEMENT_SCORE_WEIGHT, 0.0001)
assertEquals(0.25, CreatorRankingScoreSpec.SUPPORT_SCORE_WEIGHT, 0.0001)
assertEquals(0.1, CreatorRankingScoreSpec.FAN_LOYALTY_SCORE_WEIGHT, 0.0001)
@DisplayName("최종 점수는 라이브 60%, 콘텐츠 20%, 팔로우 10%, AI 채팅 10% 가중합이")
fun shouldCalculateWeightedFinalScore() {
assertEquals(0.6, CreatorRankingScoreSpec.LIVE_REVENUE_WEIGHT, 0.0001)
assertEquals(0.2, CreatorRankingScoreSpec.CONTENT_REVENUE_WEIGHT, 0.0001)
assertEquals(0.1, CreatorRankingScoreSpec.FOLLOW_INCREASE_WEIGHT, 0.0001)
assertEquals(0.1, CreatorRankingScoreSpec.AI_CHAT_WEIGHT, 0.0001)
val score = policy.calculateFinalScore(
contentLiveScore = 760.0,
engagementScore = 30.0,
supportScore = 606.0,
fanLoyaltyScore = 67.0
liveRevenueRankScore = 100.0,
contentRevenueRankScore = 95.0,
followIncreaseRankScore = 90.0,
aiChatRankScore = 85.0
)
assertEquals(433.2, score, 0.0001)
assertEquals(96.5, score, 0.0001)
}
@Test
@DisplayName("팔로우 증가는 음수이면 0으로 정규화한다")
fun shouldNormalizeNegativeFollowIncrease() {
assertEquals(0L, policy.normalizeFollowIncrease(-5))
assertEquals(3L, policy.normalizeFollowIncrease(3))
}
@Test
@DisplayName("score detail JSON은 정책 버전, 산식, metric 상세, tie-breaker key를 고정한다")
fun shouldSerializeScoreDetailContract() {
val detail = CreatorRankingScoreDetail(
metrics = CreatorRankingScoreDetail.Metrics(
liveRevenue = metric(100, 1, 100.0, 0.6),
contentRevenue = metric(80, 2, 95.0, 0.2),
followIncrease = metric(3, 3, 90.0, 0.1),
aiChat = metric(5, 4, 85.0, 0.1)
),
tieBreakers = CreatorRankingScoreDetail.TieBreakers(
creatorDebutAt = LocalDateTime.of(2026, 6, 1, 0, 0),
creatorId = 123L
)
)
val json: JsonNode = jacksonObjectMapper().readTree(detail.toJson())
assertEquals("CREATOR_WEEKLY_POPULARITY_V2", json["scorePolicyVersion"].asText())
assertTrue(json.has("formula"))
assertEquals(100, json["metrics"]["liveRevenue"]["rawValue"].asLong())
assertEquals(1, json["metrics"]["liveRevenue"]["rank"].asInt())
assertEquals(100.0, json["metrics"]["liveRevenue"]["rankScore"].asDouble(), 0.0001)
assertEquals(0.6, json["metrics"]["liveRevenue"]["weight"].asDouble(), 0.0001)
assertEquals(60.0, json["metrics"]["liveRevenue"]["weightedScore"].asDouble(), 0.0001)
assertEquals(123L, json["tieBreakers"]["creatorId"].asLong())
assertEquals("2026-06-01T00:00:00", json["tieBreakers"]["creatorDebutAt"].asText())
}
private fun metric(rawValue: Long, rank: Int, rankScore: Double, weight: Double): CreatorRankingScoreDetail.Metric {
return CreatorRankingScoreDetail.Metric(rawValue, rank, rankScore, weight, rankScore * weight)
}
}