document: Object-level ranking : bringing order to Web objects In contrast with the current Web search methods that essentially do document-level ranking and retrieval , we are exploring a new paradigm to enable Web search at the object level . We collect Web information for objects relevant for a specific application domain and rank these objects in terms of their relevance and popularity to answer user queries . Traditional PageRank model is no longer valid for object popularity calculation because of the existence of heterogeneous relationships between objects . This paper introduces PopRank , a domain-independent object-level link analysis model to rank the objects within a specific domain . Specifically we assign a popularity propagation factor to each type of object relationship , study how different popularity propagation factors for these heterogeneous relationships could affect the popularity ranking , and propose efficient approaches to automatically decide these factors . Our experiments are done using 1 million CS papers , and the experimental results show that PopRank can achieve significantly better ranking results than naively applying PageRank on the object graph .
doc_bio_tags: O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O B O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O B O O O O O