2009 ISECS International Colloquium on Computing, Communication, Control, and Management 2009
DOI: 10.1109/cccm.2009.5267949
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A new method of performance evaluation for search engine

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“…The results indicated that Google and Yahoo perform best. Jing et al (2009) proposed a user-oriented hierarchical analysis model for evaluating search engines. Su (2003) proposed a comprehensive and systematic model comprising performance measures and non-performance characteristics from the end user’s perspective for evaluating Web search engines.…”
Section: Related Researchmentioning
confidence: 99%
See 1 more Smart Citation
“…The results indicated that Google and Yahoo perform best. Jing et al (2009) proposed a user-oriented hierarchical analysis model for evaluating search engines. Su (2003) proposed a comprehensive and systematic model comprising performance measures and non-performance characteristics from the end user’s perspective for evaluating Web search engines.…”
Section: Related Researchmentioning
confidence: 99%
“…Joachims (2002),Joachims et al (2017),Radlinski et al (2008),Dupret and Liao (2010),Bitirim and Görür (2017) 3Using several performance criteria or formulas to evaluate search enginesSchlichting and Nilsen (1996),Chu and Rosenthal (1996),Gordon and Pathak (1999), Lawrence and Giles (1998),Su et al (1998), Hawking et al (2001,Sroka (2000),Boudry (2002),Goh and Ang (2002),Muh-Chyun and Ying (2003),Meng et al (2007),Sakai (2007),Lu et al (2007), Deka and Lahkar (2010),Zhuhadar and Nasraoui (2010), TeixeiraLopes and Ribeiro (2011), Foo (2011), Bilal and Ellis (2011,Zhang et al (2013),Ali and Gul (2016), Balabantaray (2017), Hussain et al (2019), CheshmehSohrabi and Abassi-Dashtaki (2019), Gul et al (2020), Jatwani et al (2020), Zeynali Tazehkandi & Nowkarizi (2021), CheshmehSohrabi and Sadati (2022), Bokhari et al (2021), Soni and Roberts (2021. (2001), Ozmutlu (2005), Turpin and Scholer (2006), Kelly et al (2007), Al-Maskari et al (2007, 2008), Huffman and Hochster (1979), Leighton and Srivastava (1999), Gwizdka and Chignell (1999), Järvelin and Kekäläinen (2002), Meng and Chen (2004), Zhai et al (2015), Buckley and Voorhees (2004), De Beer and Moens (2006), Aslam et al (2006), Moffat et al (2007), Sakai and Kando (2008), Agrawal et al (2009), Sakai et al (2010), Bouramoul et al (2011), Lewandowski (2013), Azzopardi et al (2018) 6 Studying specific aspects of search engine evaluation Nahl (1998), Chignell et al (1999), Li and Shang (2000), Hubert and Mothe (2007), Smith and Kantor (2008), Radlinski et al (2010), Dai and Davison (2011), Goutam and Dwivedi (2011), Kazai (2011), Goel and Yadav (2013), Chouldechova and Mease (2013), Kontiza and Bikakis (2014), Lewandowski (2015), Zhou et al (2017), Azizan et al (2018), Sánchez et al (2018), Wu et al (2019), Shafi and Ali (2019), Disli (2020), Gezici et al (2021) 7Proposing a framework, model or metric for search engine evaluationSoboroff et al (2001), Aslam and Savell (2003),Vaughan (2004),Mea and Mizzaro (2004), Can et al (2004),Lewandowski (2008),Jing et al (2009),Su (2003), RakeshKumar et al (2005), Sadeghi (2011), Ozertem et al (2011), XiaoLing and He-Ru (2011), Brennecke et al (2011), Singh and Dwivedi (2015), Arkhipova et al (2015), Shoeleh et al (2016), Khusro et al (2017), Palotti et al (2018), Lewandowski and Suenkler (2019), Zhang et al (2019), Kamoun et al (2019), Castaño et al (2019), Galanin et al (2020), Yang et al (2020), Rocco and Silvello (2020), Alashti et al (2022), Tamilkodi and Nesakumari (2022), Wang et al (2022)…”
mentioning
confidence: 99%