Technical Job Recommendation System Using APIs and Web Crawling

Algorithm 1

Hybrid recommendation system.

(i)	//Algorithm: – Hybrid Recommendation System
(ii)	//Input: – User = U, All jobs = J
	//Output: – Recommended Jobs with respective hybrid score
	Step 1: – Start
	Step 2: – Input_desc(U)
	Step 3: – Content_Based_Filtering (U, J):
	TF-IDF weight determination:
	if
	else:
	Content_Score =
	Cosine similarity:
	Content_Score = Content_Score + CS [U, Ji]
	end
	Step 4: – Collaborative_Filtering (U, J):
	Matrix [U, J]:
	if INTERACT (Ui, Jj) = = TRUE:
	Matrix [Ui, Jj] = 1
	else:
	Matrix [Ui, Jj] = 0
	Similarity (Ui, Jj) = RATIO (INTERSECT (Ui, Jj), J)
	Collaborative_Score = RATIO (N_INTERACT,
	INTERSECT (N_Similar))
	end
	Step 5: – Total_Hybrid_Score (U, Ji):
	Score = AVERAGE (Collaborative_Score, Content_Score)
	end
	Step 6: – SORT_JOBS (Total_Hybrid_Score)
	Step 7: – Stop