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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.
In order to sort the search results according to user preferences, a new personalized web page ranking algorithm PWPR.PWPR is based on the idea of adjusting web page ranking according to user preferences, assigning initial weights to web pages according to user interests, and establishing virtual links The user clicks the flow of the user to realize the user’s preference distinction.For the similar interest user submits the similar keyword inquiry, PWPR uses the collaborative filtering method to improve the sorting accuracy.The simulation result and the comparison with other algorithms proves PWPR algorithm can realize adaptively Personalized sorting, and according to user preferences to provide relevant query information.