A heuristic hierarchical scheme for academic search and retrieval
We present PubSearch, a new system for academic search and retrieval. PubSearch is based on a cascade hierarchy of three heuristics. The heuristics include Term-Frequency, citation distribution and topics inter-relations. We compare PubSearch performance against ACM Portal on 58 user queries. The system outperforms ACM Portal in terms of ERR, NDCG & LEX metric by large margin.
academic search search and retrieval heuristic document re-ranking