CAJ | 학술논문

为了按用户偏好对搜索结果进行排序,提出了一种新的个性化网页排序算法PWPR.PWPR基于按照用户偏好调整网页排序的思想,根据用户兴趣为网页分配初始权值,并建立虚连接,通过测量用户的点击流实现用户喜好的区分.对于具有相似兴趣的用户提交的相似关键词查询,PWPR采用协作过滤方式提高排序精确性.仿真结果及与其他算法的比较证明PWPR算法能自适应地实现个性化排序,并根据用户偏好提供相关查询信息.
위료안용호편호대수색결과진행배서,제출료일충신적개성화망혈배서산법PWPR.PWPR기우안조용호편호조정망혈배서적사상,근거용호흥취위망혈분배초시권치,병건립허련접,통과측량용호적점격류실현용호희호적구분.대우구유상사흥취적용호제교적상사관건사사순,PWPR채용협작과려방식제고배서정학성.방진결과급여기타산법적비교증명PWPR산법능자괄응지실현개성화배서,병근거용호편호제공상관사순신식.
In order to rank searching results according to the user preferences, a new personalized web pages ranking algorithm called PWPR( personalized web page ranking)with the idea of adjusting the ranking scores of web pages in accordance with user preferences is proposed. PWPR assigns the initial weights based on user interests and creates the virtual links and hubs according to user interests. By measuring user click streams, PWPR incrementally reflects users' favors for the personalized ranking.To improve the accuracy of ranking, PWPR also takes collaborative filtering into consideration when the query with similar keywords is submitted by users who have similar user interests. Detailed simulation results and comparison with other algorithms prove that the proposed PWPR can adaptively provide personalized ranking and truly relevant information to user preferences.