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Feature/groupsimilarity #7

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9ef9389
Merge branch 'main' into feature/Groupsimilarity
sinhuijin Aug 21, 2024
ef11e17
feat: groupsimilarity
sinhuijin Aug 22, 2024
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4 changes: 4 additions & 0 deletions createDB/views.py
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Original file line number Diff line number Diff line change
Expand Up @@ -251,6 +251,7 @@ def get_tour_courses(character_type):
course_info['cat3'] = expand_cat3_ranges(course_info['cat3_ranges'])
return course_info


# 소분류 우선 만약 소분류로 했을때 결과가 없으면 중분류까지 감
def filter_courses_by_preference(tour_courses, cat3_list, cat2_list):
# 소분류 코드(cat3)로 필터링
Expand All @@ -261,6 +262,7 @@ def filter_courses_by_preference(tour_courses, cat3_list, cat2_list):
return filtered_courses



# 거리 계산 - 코스 추천시 코스별 거리가 멀면 안되기에
def filter_courses_by_distance(courses, base_location, max_distance=1.0):
filtered_courses = []
Expand Down Expand Up @@ -432,12 +434,14 @@ def create_weighted_list(preferences):
weighted_list.extend([keywords[i]] * weight)
return weighted_list


# 코사인 유사도 계산
def calculate_cosine_similarity(group1, group2):
group1_vector = np.array([group1])
group2_vector = np.array([group2])
return cosine_similarity(group1_vector, group2_vector)[0][0]


# 유사한 그룹 찾기
def find_similar_group(current_group_preferences, groups_data):
max_similarity = float('-inf')
Expand Down
6 changes: 3 additions & 3 deletions groups.json
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
"pk": 1,
"fields": {
"people_num": 3,
"tour_type": "������ ����",
"tour_type": "힐링형 감자",
"group_name": "group1"
}
},
Expand All @@ -13,7 +13,7 @@
"pk": 2,
"fields": {
"people_num": 3,
"tour_type": "��Ƽ��Ƽ�� ������",
"tour_type": "액티비티형 옥수수",
"group_name": "group2"
}
},
Expand All @@ -22,7 +22,7 @@
"pk": 3,
"fields": {
"people_num": 4,
"tour_type": "������ ����",
"tour_type": "관람형 배추",
"group_name": "group3"
}
}
Expand Down