Research Article
HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs
| | Input: processed logs (PL) | | | Output: N-gram associated click-graph (NC-graph) | | | Begin | | (1) | Read (PL); | | (2) | Q ← Read queries from PL; | | (3) | U ← Read URLs from PL; | | (4) | Calculate click count Cq,u for each pair using PL; | | (5) | C-graph ← create an edge between with label ; | | (6) | For each query do | | (7) | Nq ← Parser (q); //parsing of query into N-grams | | (8) | NC-graph ← Create an edge between | | (9) | EndFor | | (10) | Return (NC-graph); | | | End |
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