Summary of the paper

Title Analysis and Presentation of Results for Mobile Local Search
Authors Alberto Tretti and Barbara Di Eugenio
Abstract Aggregation of long lists of concepts is important to avoid overwhelming asmall display. Focusing on the domain of mobile local search, this paperpresents the development of an application to perform filtering and aggregationof results obtained through the Yahoo! Local web service. First, we performedan analysis of the data available through Yahoo! Local by crawling its databasewith over 170 thousand local listings located in Chicago. Then, we compiledresources and developed algorithms to filter and aggregate local searchresults. The methods developed exploit Yahoo!’s listings categorization toreduce the result space and pinpoint the category containing the most relevantresults. Finally, we evaluated a prototype through a user study, which pittedour system against Yahoo! Local and against a plain list of search results. Theresults obtained from the study show that our aggregation methods are quiteeffective, cutting down the number of entries returned to the user by 43% onaverage, but leaving search efficiency and user satisfaction unaffected.
Language Summarisation
Topics Information Extraction, Information Retrieval, Usability, user satisfaction, Summarisation
Full paper Analysis and Presentation of Results for Mobile Local Search
Bibtex @InProceedings{TRETTI10.647,
  author = {Alberto Tretti and Barbara Di Eugenio},
  title = {Analysis and Presentation of Results for Mobile Local Search},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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