Abstract




 
   

IJE TRANSACTIONS B: Applications Vol. 31, No. 8 (August 2018) 1205-1214    Article in Press

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  DISCOVERING POPULAR CLICKS\' PATTERN OF TEEN USERS FOR QUERY RECOMMENDATION
 
H. Ghasemzadeh, M. Ghasemzadeh and A. M. Zare Bidoki
 
( Received: November 11, 2017 – Accepted in Revised Form: January 17, 2018 )
 
 

Abstract    Search engines are still the most important gates for information search in internet. In this regard, providing the best response in the shortest time possible to the user's request is still desired. Normally, search engines are designed for adults and few policies have been employed considering teen users. Teen users are more biased in clicking the results list than are adult users. This leads to fewer clicks on the lowly-ranked search results. Such behavior reduces teen users’ navigation and result extraction skills. With an increase in information load and in teen’s demands, lack of efficient methods leads to inefficiency of search engines regarding teen users. For the purpose, this study discovers teen users’ search behavior and its application in yielding an improved search is strongly recommended. In this way, the pattern of teen users’ popular clicks is identified from a large search log through mining of users’ search transactions based on the frequency and similarity of the clicks in the search log. Then, using binary classification, the closest query into the teen user’s desired one is identified. To discover teen users’ behavior, we took advantage of the AOL query log. System efficiency was examined on the AOL query search log. Results reveal that click pattern improves approaching the query to the one desired by teen users. Generally, this study can demonstrate that in data recovery, application of click behavior and its binary classification can result in improved access of teen users to their desired results.

 

Keywords    Search engine, Query log, Search behavior, Teen user, Query recommendation.

 

چکیده    موتورهای جستجو مهم‌ترین دروازه‌های جستجوی اطلاعات در اینترنت می‌باشند. در موتورهای جستجو تمهیداتی برای کاربران نوجوان پیش‌بینی‌نشده است. کاربران نوجوان انحراف بیشتری در کلیک کردن بر روی لیست نتایجیک جستجو نسبت به بزرگ‌سالان دارند. چنین رفتاری، مهارت‌های ناوبری و استخراج نتایج توسط کاربران نوجوان را مختل می‌سازد. در این پژوهش، كشف الگوی رفتاری کاربران نوجوانبرای بهبود جستجو توصیه می‌شود. در این روش، الگوی كلیك‌های‌ محبوب كاربران نوجوان از لاگ جستجوو بر اساس محبوبیت و تشابه كلیك‌ها تشخیص داده می‌شوند. آزمایش کارایی سیستم بر روی بخش پرس‌وجوهای لاگ جستجوی AOL صورت گرفت.نتایج آزمایش حاکی از آن است که ویژگي الگوي کليك‌ها موجب بهبود نزديك شدن پيشنهاد پرس‌وجو به پرس‌وجوی مورد نظر کاربر نوجوان می‌گردد.

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