Improved Object-level Rank Algorithm
Weiwei Zhang · Jisuanji gongcheng · 2009
The old object-based rank algorithms are not satisfactory because of ignoring the Web features of the object and neglecting the correlation between objects and user's searching. An improved H-PopRank algorithm is proposed in this paper aiming at these shortcomings by taking the following factors into account such as the Web features of the object,the correlation between objects and searching. The experiments indicate that the H-PopRank algorithm can improve recall level precision average and user's acceptance.