Query Recommendation and Its Usefulness Evaluation on Mobile Search Engine

被引：1
|
作者：
Fu, Shunkai [1 ,2 ]
Pi, Bingfeng [1 ]
Desmarais, Michel [2 ]
Zhou, Ying [1 ]
Wang, Weilei [1 ]
Han, Song [1 ]
机构：
[1] Roboo Inc, Suzhou, Jiangsu, Peoples R China
[2] Ecole Polytech Montreal, Comp Engn, Montreal, PQ, Canada
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
关键词：
Mobile search; query recommendation; USER LOGS;
D O I：
10.1109/ICSMC.2009.5345920
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we study the role of query recommendation on mobile search engine. We start with the discussion of the role of query recommendation in modern search engines. Secondly, a mobile search engine, Roboo (R) (http://wap.roboo.com), is introduced and we discuss the need for query recommendation over mobile search engine. Thirdly, the query recommendation solution working on Roboo (R) is introduced in detail, including the models, how they are constructed and how they operate online. Finally, we demonstrate the benefits of query recommendation brought on Roboo (R) based on the analysis of real search log data collected since its release online in August, 2008. Considering the scarcity of scientific publications about the practical values of query recommendation on commercial mobile search engine, this paper should represent an interesting and useful reference for both academic and industrial colleagues.
引用
收藏
页码：1292 / +
页数：2
相关论文
共 50 条
  • [1] Query ranking model for search engine query recommendation
    Wang, JianGuo
    Huang, Joshua Zhexue
    Guo, Jiafeng
    Lan, Yanyan
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2017, 8 (03) : 1019 - 1038
  • [2] Query ranking model for search engine query recommendation
    JianGuo Wang
    Joshua Zhexue Huang
    Jiafeng Guo
    Yanyan Lan
    International Journal of Machine Learning and Cybernetics, 2017, 8 : 1019 - 1038
  • [3] Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation
    Fu, Shunkai
    Pi, Bingfeng
    Zhou, Ying
    Desmarais, Michel C.
    Wang, Weilei
    Han, Song
    Rao, Xunrong
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, 5476 : 883 - 890
  • [4] Clustering Search Engine Log for Query Recommendation
    Hosseini, Mehdi
    Abolhassani, Hassan
    ADVANCES IN COMPUTER SCIENCE AND ENGINEERING, 2008, 6 : 380 - 387
  • [5] Query Recommendation for Improving Search Engine Results
    Zahera, Hamada M.
    El Hady, Gamal F.
    El-Wahed, Waiel. F. Abd
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, VOLS 1 AND 2, 2010, : 416 - +
  • [6] An incremental model on search engine query recommendation
    Wang, JianGuo
    Huang, Joshua Zhexue
    Wu, Dingming
    Guo, Jiafeng
    Lan, Yanyan
    NEUROCOMPUTING, 2016, 218 : 423 - 431
  • [7] Query Recommendation for Improving Search Engine Results
    El-Hady, Gamal F.
    Zahera, Hamada M.
    Abd El-Wahed, W. F.
    INTERNATIONAL JOURNAL OF INFORMATION RETRIEVAL RESEARCH, 2011, 1 (01) : 45 - 52
  • [8] QRM: A Probabilistic Model for Search Engine Query Recommendation
    Wang, JianGuo
    Huang, Joshua Zhexue
    TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING, 2014, 8643 : 665 - 676
  • [9] Search Engine Query Recommendation Using SNA over Query Logs with User Profiles
    Ahmedi, Lule
    Shabani, Dardan
    WEBIST: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, 2017, : 370 - 375
  • [10] Mining search engine query logs for social filtering-based query recommendation
    Zhang, Zhiyong
    Nasraoui, Olfa
    APPLIED SOFT COMPUTING, 2008, 8 (04) : 1326 - 1334
12345