Natural language retrieval of grocery products

ABSTRACT

In this paper we describe modifications to a natural language grocery retrieval system, introduced in our earlier work. We also compare our system against an off-the-shelf retrieval tool, and show that our system is significantly better for top-ranked retrieval results.

REFERENCES

• 1: Christof Monz , Maarten de Rijke, Shallow Morphological Analysis in Monolingual Information Retrieval for Dutch, German, and Italian, Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems, p.262-277, September 03-04, 2001
• 2: Petteri Nurmi , Eemil Lagerspetz , Wray Buntine , Patrik Floréen , Joonas Kukkonen, Product retrieval for grocery stores, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, July 20-24, 2008, Singapore, Singapore [doi>10.1145/1390334.1390501]
• 3: Stephen Robertson , Hugo Zaragoza , Michael Taylor, Simple BM25 extension to multiple weighted fields, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA [doi>10.1145/1031171.1031181]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

General Terms:
Design, Experimentation

Keywords:
domain specific ir, information retrieval, user evaluation