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 Traditional PageRank model is no longer valid for object popularity calculation because of the existence of heterogeneous relationships between objects.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.
%0 Conference Paper
%1 1060828
%A Nie, Zaiqing
%A Zhang, Yuanzhi
%A Wen, Ji-Rong
%A Ma, Wei-Ying
%B WWW '05: Proceedings of the 14th international conference on World Wide Web
%C New York, NY, USA
%D 2005
%I ACM Press
%K ir link-analysis ranking
%P 567--574
%R http://doi.acm.org/10.1145/1060745.1060828
%T Object-level ranking: bringing order to Web objects
%U http://portal.acm.org/citation.cfm?id=1060745.1060828
%X 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 Traditional PageRank model is no longer valid for object popularity calculation because of the existence of heterogeneous relationships between objects.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.
%@ 1-59593-046-9
@inproceedings{1060828,
abstract = {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.},
added-at = {2007-10-17T14:28:27.000+0200},
address = {New York, NY, USA},
author = {Nie, Zaiqing and Zhang, Yuanzhi and Wen, Ji-Rong and Ma, Wei-Ying},
biburl = {https://www.bibsonomy.org/bibtex/29b517bca302626a1006a4988f1aa64a5/beate},
booktitle = {WWW '05: Proceedings of the 14th international conference on World Wide Web},
description = {Object-level ranking},
doi = {http://doi.acm.org/10.1145/1060745.1060828},
interhash = {aaf2e482cb610120e67f9b3a6c7aca3a},
intrahash = {9b517bca302626a1006a4988f1aa64a5},
isbn = {1-59593-046-9},
keywords = {ir link-analysis ranking},
location = {Chiba, Japan},
pages = {567--574},
publisher = {ACM Press},
timestamp = {2008-12-09T16:32:51.000+0100},
title = {Object-level ranking: bringing order to Web objects},
url = {http://portal.acm.org/citation.cfm?id=1060745.1060828},
year = 2005
}