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ACM Transactions on Information Systems (TOIS), Volume 28 Issue 4, November 2010

Clustering-based incremental web crawling
Qingzhao Tan, Prasenjit Mitra
Article No.: 17
DOI: 10.1145/1852102.1852103

When crawling resources, for example, number of machines, crawl-time, and so on, are limited, so a crawler has to decide an optimal order in which to crawl and recrawl Web pages. Ideally, crawlers should request only those Web pages that have...

PageRank without hyperlinks: Structural reranking using links induced by language models
Oren Kurland, Lillian Lee
Article No.: 18
DOI: 10.1145/1852102.1852104

The ad hoc retrieval task is to find documents in a corpus that are relevant to a query. Inspired by the PageRank and HITS (hubs and authorities) algorithms for Web search, we propose a structural reranking approach to ad-hoc retrieval that...

An information-theoretic framework for semantic-multimedia retrieval
João Magalhães, Stefan Rüger
Article No.: 19
DOI: 10.1145/1852102.1852105

This article is set in the context of searching text and image repositories by keyword. We develop a unified probabilistic framework for text, image, and combined text and image retrieval that is based on the detection of keywords (concepts) using...

A similarity measure for indefinite rankings
William Webber, Alistair Moffat, Justin Zobel
Article No.: 20
DOI: 10.1145/1852102.1852106

Ranked lists are encountered in research and daily life and it is often of interest to compare these lists even when they are incomplete or have only some members in common. An example is document rankings returned for the same query by different...

The task-dependent effect of tags and ratings on social media access
Maarten Clements, Arjen P. De Vries, Marcel J. T. Reinders
Article No.: 21
DOI: 10.1145/1852102.1852107

Recently, online social networks have emerged that allow people to share their multimedia files, retrieve interesting content, and discover like-minded people. These systems often provide the possibility to annotate the content with tags and...

Mining near-duplicate graph for cluster-based reranking of web video search results
Zi Huang, Bo Hu, Hong Cheng, Heng Tao Shen, Hongyan Liu, Xiaofang Zhou
Article No.: 22
DOI: 10.1145/1852102.1852108

Recently, video search reranking has been an effective mechanism to improve the initial text-based ranking list by incorporating visual consistency among the result videos. While existing methods attempt to rerank all the individual result videos,...