The effect of title term suggestion on e-commerce sites

  • Authors:
  • Shen Huang;Xiaoyuan Wu;Alvaro Bolivar

  • Affiliations:
  • eBay Inc., Shanghai, China;eBay Inc., Shanghai, China;eBay Inc., San Jose, CA, USA

  • Venue:
  • Proceedings of the 10th ACM workshop on Web information and data management
  • Year:
  • 2008

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Abstract

Most E-Commerce websites rely on title keyword search to accurately retrieve the items for sale in a particular category. We have found that the titles of many items on eBay are shortened or not very specific, which leads to ineffective results when searched. One possible solution is to recommend the sellers relevant and informative terms for title expansion without any change of search function. The related technique has been explored in previous work such as query expansion and keyword suggestion. In this paper, we study the effect of term suggestion on title-based search. A frequently used approach, co-occurrence, is tested on a dataset collected from eBay website (www.ebay.com). Besides, for suggestion algorithm, we take into account three particular features in our application scenario, including concept term, description relevance and chance-to-be viewed. Although the experiments are conducted on eBay data, we believe that considering E-Commerce particularities will help us to customize the suggestion according to the requirements of web commerce.