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Refactor scoring weights into dictionary #564

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Merged
komalharshita merged 2 commits into from
Jun 8, 2026
Merged

Refactor scoring weights into dictionary #564

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a50491f
Refactor scoring weights into dictionary
EHEGUY May 17, 2026
26c4c1e
Merge branch 'main' into fix/issue-6
komalharshita Jun 8, 2026
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11 changes: 4 additions & 7 deletions utils/recommender.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,11 +17,6 @@
"time": 1,
}

WEIGHT_SKILL = SCORING_WEIGHTS["skill"]
WEIGHT_LEVEL = SCORING_WEIGHTS["level"]
WEIGHT_INTEREST = SCORING_WEIGHTS["interest"]
WEIGHT_TIME = SCORING_WEIGHTS["time"]


VALID_LEVELS = {"beginner", "intermediate", "advanced"}
VALID_INTERESTS = {
Expand Down Expand Up @@ -120,8 +115,8 @@ def score_single_project(
coverage_ratio = matched_skills / total_project_skills if total_project_skills > 0 else 0.0

# Add weighted points based on the number of matching skills.
# Skill coverage boosts score when more project skills are matched.
score += matched_skills * SCORING_WEIGHTS["skill"] * coverage_ratio
# More overlapping skills result in a higher recommendation score.
score += matched_skills * SCORING_WEIGHTS["skill"]

# Award points for each additional matching criterion
if project.get("level", "").lower() == level.lower():
Expand All @@ -133,6 +128,8 @@ def score_single_project(
if project.get("time", "").lower() == time_availability.lower():
score += SCORING_WEIGHTS["time"]

return score

if project.get("time", "").lower() in valid_time :
return score
return 0
Expand Down
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