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01252a2 614e905 01252a2 614e905 01252a2 614e905 01252a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | from typing import List, Dict, Any
import math
def rerank_mentors(
similar_mentors: List[Dict[str, Any]],
mentee_data: Dict[str, Any],
final_count: int = 8
) -> List[Dict[str, Any]]:
scored_mentors = []
for mentor in similar_mentors:
score = mentor["score"]
metadata = mentor.get("metadata", {})
semantic_score = score * 0.7
rating_score = _calculate_rating_score(metadata.get("rating", 0.0))
availability_score = _calculate_availability_score(metadata.get("available_slots", 0))
rule_based_score = (
rating_score * 0.5 +
availability_score * 0.5
) * 0.3
final_score = semantic_score + rule_based_score
reason = _generate_reason(
score,
metadata,
mentee_data,
rating_score,
availability_score
)
scored_mentors.append({
"mentor_id": mentor["mentor_id"],
"score": final_score,
"semantic_similarity": score,
"metadata": metadata,
"reason": reason
})
scored_mentors.sort(key=lambda x: x["score"], reverse=True)
return scored_mentors[:final_count]
def _calculate_rating_score(rating: float) -> float:
if rating <= 0:
return 0.0
return min(rating / 5.0, 1.0)
def _calculate_availability_score(available_slots: int) -> float:
if available_slots <= 0:
return 0.0
if available_slots >= 10:
return 1.0
return min(available_slots / 10.0, 1.0)
def _generate_reason(
semantic_score: float,
metadata: Dict[str, Any],
mentee_data: Dict[str, Any],
rating_score: float,
availability_score: float
) -> str:
reasons = []
if semantic_score >= 0.8:
reasons.append("Highly relevant expertise")
elif semantic_score >= 0.6:
reasons.append("Good match for your goals")
rating = metadata.get("rating", 0.0)
if rating >= 4.5:
reasons.append("Excellent ratings")
elif rating >= 4.0:
reasons.append("High ratings")
available_slots = metadata.get("available_slots", 0)
if available_slots > 0:
reasons.append("Has available slots")
if not reasons:
reasons.append("Good overall match")
return "; ".join(reasons[:3])
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