메뉴 건너뛰기




Volumn , Issue , 2012, Pages 1025-1034

Leaving so soon? Understanding and predicting web search abandonment rationales

Author keywords

abandonment rationales; web search abandonment

Indexed keywords

ABANDONMENT RATIONALES; ACCURATE PREDICTION; AUTOMATIC PREDICTION; CURSOR MOVEMENT; ENGINE PERFORMANCE; FULL SEARCH; HIGH FREQUENCY; IN-SITU METHODS; USER SATISFACTION; WEB SEARCHES;

EID: 84871042507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398399     Document Type: Conference Paper
Times cited : (63)

References (32)
  • 1
    • 33750367864 scopus 로고    scopus 로고
    • Learning user interaction models for predicting web search result preferences
    • E. Agichtein et al. (2006). Learning user interaction models for predicting web search result preferences. SIGIR, 3-10.
    • (2006) SIGIR , pp. 3-10
    • Agichtein, E.1
  • 2
    • 33750341480 scopus 로고    scopus 로고
    • Improving web search ranking by incorporating user behavior information
    • E. Agichtein, E. Brill, and S.T. Dumais. (2006). Improving web search ranking by incorporating user behavior information. SIGIR, 19-26.
    • (2006) SIGIR , pp. 19-26
    • Agichtein, E.1    Brill, E.2    Dumais, S.T.3
  • 3
    • 77956032690 scopus 로고    scopus 로고
    • The good, the bad and the random: An eye-tracking study of ad quality in Web search
    • G. Buscher, S. Dumais, and E. Cutrell (2010). The good, the bad and the random: An eye-tracking study of ad quality in Web search. SIGIR, 42-49.
    • (2010) SIGIR , pp. 42-49
    • Buscher, G.1    Dumais, S.2    Cutrell, E.3
  • 4
    • 84871094619 scopus 로고    scopus 로고
    • Large-scale analysis of individual and task differences in search result page examination strategies
    • G. Buscher et al. (2012). Large-scale analysis of individual and task differences in search result page examination strategies. WSDM, 292-307.
    • (2012) WSDM , pp. 292-307
    • Buscher, G.1
  • 5
    • 84899745418 scopus 로고    scopus 로고
    • Evaluating search engines by modeling the relationship between relevance and clicks
    • B. Carterette and R. Jones. (2007). Evaluating search engines by modeling the relationship between relevance and clicks. NIPS, 217-224.
    • (2007) NIPS , pp. 217-224
    • Carterette, B.1    Jones, R.2
  • 7
    • 84861030263 scopus 로고    scopus 로고
    • Addressing people's information needs directly in a Web search result page
    • L. Chilton and J. Teevan. (2011). Addressing people's information needs directly in a Web search result page. WWW, 27-36.
    • (2011) WWW , pp. 27-36
    • Chilton, L.1    Teevan, J.2
  • 8
    • 35348895730 scopus 로고    scopus 로고
    • What are you looking for? An eye-tracking study of information usage in Web search
    • E. Cutrell and Z. Guan (2007). What are you looking for? An eye-tracking study of information usage in Web search. CHI, 407-416.
    • (2007) CHI , pp. 407-416
    • Cutrell, E.1    Guan, Z.2
  • 9
    • 67650086764 scopus 로고    scopus 로고
    • Understanding the relationship between searchers' queries and information goals
    • D. Downey et al. (2008). Understanding the relationship between searchers' queries and information goals. CIKM, 449-458.
    • (2008) CIKM , pp. 449-458
    • Downey, D.1
  • 10
    • 77956041878 scopus 로고    scopus 로고
    • Predicting searcher frustration
    • H. Feild, J. Allan, and R. Jones. (2010). Predicting searcher frustration. SIGIR, 34-41.
    • (2010) SIGIR , pp. 34-41
    • Feild, H.1    Allan, J.2    Jones, R.3
  • 11
    • 20344382508 scopus 로고    scopus 로고
    • Evaluating implicit measures to improve the search experience
    • S. Fox et al. (2005). Evaluating implicit measures to improve the search experience. ACM TOIS, 23(2): 147-168.
    • (2005) ACM TOIS , vol.23 , Issue.2 , pp. 147-168
    • Fox, S.1
  • 12
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani. (2000). Additive logistic regression: A statistical view of boosting. Annals of Statistics, 28(2): 337-407.
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 13
    • 80052119193 scopus 로고    scopus 로고
    • Detecting success in mobile search from interaction
    • Q. Guo, S. Yuan, and E. Agichtein. (2011) Detecting success in mobile search from interaction. Proc. SIGIR, 1229-1230.
    • (2011) Proc. SIGIR , pp. 1229-1230
    • Guo, Q.1    Yuan, S.2    Agichtein, E.3
  • 14
    • 77956044077 scopus 로고    scopus 로고
    • Ready to buy or just browsing? Detecting web searcher goals from interaction data
    • Q. Guo and E. Agichtein. (2010). Ready to buy or just browsing? Detecting web searcher goals from interaction data. SIGIR, 130-137.
    • (2010) SIGIR , pp. 130-137
    • Guo, Q.1    Agichtein, E.2
  • 15
    • 80052121059 scopus 로고    scopus 로고
    • Why searchers switch: Understanding and predicting engine switching rationales
    • Q. Guo et al. (2011). Why searchers switch: understanding and predicting engine switching rationales. SIGIR, 335-441.
    • (2011) SIGIR , pp. 335-441
    • Guo, Q.1
  • 16
    • 77950930266 scopus 로고    scopus 로고
    • Beyond DCG: User behavior as a predictor of a successful search
    • A. Hassan, R. Jones, and K. Klinkner. (2010). Beyond DCG: user behavior as a predictor of a successful search. WSDM, 221-230.
    • (2010) WSDM , pp. 221-230
    • Hassan, A.1    Jones, R.2    Klinkner, K.3
  • 17
    • 79958107945 scopus 로고    scopus 로고
    • No clicks, no problem: Using cursor movements to understand and improve search
    • J. Huang, R.W. White, and S.T. Dumais. (2011). No clicks, no problem: using cursor movements to understand and improve search. CHI, 1225-1234.
    • (2011) CHI , pp. 1225-1234
    • Huang, J.1    White, R.W.2    Dumais, S.T.3
  • 18
    • 84885665252 scopus 로고    scopus 로고
    • Accurately interpreting clickthrough data and implicit feedback
    • T. Joachims et al. (2005). Accurately interpreting clickthrough data and implicit feedback. SIGIR, 154-161.
    • (2005) SIGIR , pp. 154-161
    • Joachims, T.1
  • 19
    • 34548215752 scopus 로고    scopus 로고
    • Search engines that learn from implicit feedback
    • T. Joachims and F. Radlinski. (2007). Search engines that learn from implicit feedback. Computers, 40, 34-40.
    • (2007) Computers , vol.40 , pp. 34-40
    • Joachims, T.1    Radlinski, F.2
  • 20
    • 33847653219 scopus 로고    scopus 로고
    • A goal-based classification of Web information tasks
    • M. Kellar, C. Watters, and M. Shepherd. (2006). A goal-based classification of Web information tasks. JASIST, 43(1)
    • (2006) JASIST , vol.43 , Issue.1
    • Kellar, M.1    Watters, C.2    Shepherd, M.3
  • 21
    • 34547777476 scopus 로고    scopus 로고
    • Negative emotion enhances memory accuracy: Behavioural and neuroimaging evidence
    • E.A. Kensinger. (2007). Negative emotion enhances memory accuracy: Behavioural and neuroimaging evidence. Curr. Dir. Psychol. Sci. 16(4): 213-218.
    • (2007) Curr. Dir. Psychol. Sci. , vol.16 , Issue.4 , pp. 213-218
    • Kensinger, E.A.1
  • 22
    • 72449139156 scopus 로고    scopus 로고
    • Good abandonment in mobile and PC internet search
    • J. Li, S.B. Huffman, and A. Tokuda (2009). Good abandonment in mobile and PC internet search. SIGIR, 43-50.
    • (2009) SIGIR , pp. 43-50
    • Li, J.1    Huffman, S.B.2    Tokuda, A.3
  • 23
    • 67650444515 scopus 로고    scopus 로고
    • Eye tracking and online search: Lessons learned and challenges ahead
    • L. Lorigo et al. (2008). Eye tracking and online search: Lessons learned and challenges ahead. JASIST, 59(7): 1041-1052.
    • (2008) JASIST , vol.59 , Issue.7 , pp. 1041-1052
    • Lorigo, L.1
  • 24
    • 9744243208 scopus 로고    scopus 로고
    • Feature selection, L1 vs. L2 regularization, and rotational invariance
    • A.Y. Ng. (2004). Feature selection, L1 vs. L2 regularization, and rotational invariance. ICML, 78-85.
    • (2004) ICML , pp. 78-85
    • Ng, A.Y.1
  • 25
    • 56449088596 scopus 로고    scopus 로고
    • Learning diverse rankings with multi-armed bandits
    • F. Radlinski, R. Kleinberg, and T. Joachims. (2008). Learning diverse rankings with multi-armed bandits. ICML, 784-791.
    • (2008) ICML , pp. 784-791
    • Radlinski, F.1    Kleinberg, R.2    Joachims, T.3
  • 26
    • 57049091124 scopus 로고    scopus 로고
    • Eye-mouse coordination patterns on Web search results pages
    • K. Rodden et al. (2008). Eye-mouse coordination patterns on Web search results pages. CHI, 2997-3002.
    • (2008) CHI , pp. 2997-3002
    • Rodden, K.1
  • 27
    • 19944362539 scopus 로고    scopus 로고
    • Understanding user goals in Web search
    • D. Rose and D. Levinson. (2004). Understanding user goals in Web search. WWW, 13-19.
    • (2004) WWW , pp. 13-19
    • Rose, D.1    Levinson, D.2
  • 28
    • 65449122821 scopus 로고    scopus 로고
    • Bypass rates: Reducing query abandonment using negative inferences
    • A. Sarma, S. Gollapudi, and S. Ieong. (2008). Bypass rates: Reducing query abandonment using negative inferences. KDD, 177-185.
    • (2008) KDD , pp. 177-185
    • Sarma, A.1    Gollapudi, S.2    Ieong, S.3
  • 30
    • 77952315459 scopus 로고    scopus 로고
    • Interpreting user inactivity on search results
    • S. Stamou and E.N. Efthimiadis. (2010). Interpreting user inactivity on search results. ECIR, 100-113.
    • (2010) ECIR , pp. 100-113
    • Stamou, S.1    Efthimiadis, E.N.2
  • 31
    • 35348927568 scopus 로고    scopus 로고
    • Investigating behavioral variability in Web search
    • R.W. White and S.M. Drucker. (2007). Investigating behavioral variability in Web search. WWW, 21-30.
    • (2007) WWW , pp. 21-30
    • White, R.W.1    Drucker, S.M.2
  • 32
    • 74549170535 scopus 로고    scopus 로고
    • Charactering and Predicting search engine switching behavior
    • R.W. White and S.T. Dumais. (2009). Charactering and Predicting search engine switching behavior. CIKM, 87-96.
    • (2009) CIKM , pp. 87-96
    • White, R.W.1    Dumais, S.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.