Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies

• Autoři: LÍŠKA Martin; SOJKA Petr; RŮŽIČKA Michal
• Rok publikování: 2015
• Druh: Článek ve sborníku
• Konference: NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems
• Fakulta / Pracoviště MU: Fakulta informatiky

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• Doi: http://dx.doi.org/10.1145/2810355.2810359
• Obor: Informatika
• Klíčová slova: algorithms; performance; query reformulation; query expansion; digital mathematical libraries; math indexing and retrieval; ranking
• Popis: Specific to Math Information Retrieval is combining text with mathematical formulae both in documents and in queries. Rigorous evaluation of query expansion and merging strategies combining math and standard textual keyword terms in a query are given. It is shown that techniques similar to those known from textual query processing may be applied in math information retrieval as well, and lead to a cutting edge performance. Striping and merging partial results from subqueries is one technique that improves results measured by information retrieval evaluation metrics like Bpref.

Související projekty

• Zastoupení ČR v European Research Consortium for Informatics and Mathematics
• Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity