Now showing items 1-6 of 6

    • Cluster searching strategies for collaborative recommendation systems 

      Altingovde, I. S.; Subakan, Ö. N.; Ulusoy, Ö. (2013)
      In-memory nearest neighbor computation is a typical collaborative filtering approach for high recommendation accuracy. However, this approach is not scalable given the huge number of customers and items in typical commercial ...
    • Inverted index compression based on term and document identifier reassignment 

      Baykan, İzzet Çağrı (Bilkent University, 2008)
      Compression of inverted indexes received great attention in recent years. An inverted index consists of lists of document identifiers, also referred as posting lists, for each term. Compressing an inverted index reduces ...
    • Large-scale cluster-based retrieval experiments on Turkish texts 

      Altıngövde, İsmail Şengör; Özcan, Rıfat; Öcalan Hüseyin C.; Can, Fazlı; Ulusoy, Özgür (ACM, 2007)
      We present cluster-based retrieval (CBR) experiments on the largest available Turkish document collection. Our experiments evaluate retrieval effectiveness and efficiency on both an automatically generated clustering ...
    • Performance of query processing implementations in ranking-based text retrieval systems using inverted indices 

      Cambazoglu, B. B.; Aykanat, C. (Elsevier Ltd, 2006-07)
      Similarity calculations and document ranking form the computationally expensive parts of query processing in ranking-based text retrieval. In this work, for these calculations, 11 alternative implementation techniques are ...
    • A practitioner's guide for static index pruning 

      Altıngövde, İsmail Şengör; Özcan, Rıfat; Ulusoy, Özgür (Springer, 2009-04)
      We compare the term- and document-centric static index pruning approaches as described in the literature and investigate their sensitivity to the scoring functions employed during the pruning and actual retrieval stages. ...
    • Site-based dynamic pruning for query processing in search engines 

      Altıngövde İsmail Şengör; Demir, Engin; Can, Fazlı; Ulusoy, Özgür (ACM, 2008-07)
      Web search engines typically index and retrieve at the page level. In this study, we investigate a dynamic pruning strategy that allows the query processor to first determine the most promising websites and then proceed ...