Trystan Upstill

Australian National University

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Nick Craswell

Microsoft (United States)

David Hawking

Australian National University

Brandon Barbello

Google (United States)

Rajehndra Nagappan

Australian National University

Bingying Xia

Beijing Information Science & Technology University

Maryam Karimzadehgan

Google (United States)

Nadav Bar

Norwegian University of Science and Technology

Danielle Cohen

Icahn School of Medicine at Mount Sinai

Michelle Tadmor Ramanovich

Google (United States)

Stephen Robertson

Guy's and St Thomas' NHS Foundation Trust

Cooperative Institutions

Google (United States)

Australian National University

Microsoft Research (United Kingdom)

Commonwealth Scientific and Industrial Research Organisation

Data61

Beijing Information Science & Technology University

University of Illinois Urbana-Champaign

Association for Computing Machinery

IP Australia

Norwegian University of Science and Technology

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<title>Visual clustering of image search results</title>

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2001)

Trystan Upstill Rajehndra Nagappan Nick Craswell

This paper presents a novel method for visualizing the results of an image search. Current approaches to visualizing WWW image searches rank results in a linear list and presents them as a sorted thumbnail grid. The method outlined in this paper visually clusters images based on the user's search terms. To accomplish this, a flexible image retrieval method which incorporates a combination of content-based and textural image matching is used. A new information visualization is used to display the search results.

10.1117/12.424915

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Citations (3)

Query-independent evidence in home page finding

ACM transactions on office information systems (2003)

Trystan Upstill Nick Craswell David Hawking

Hyperlink recommendation evidence, that is, evidence based on the structure of a web's link graph, is widely exploited by commercial Web search systems. However there is little published work to support its popularity. Another form of query-independent evidence, URL-type, has been shown to be beneficial on a home page finding task. We compared the usefulness of these types of evidence on the home page finding task, combined with both content and anchor text baselines. Our experiments made use of five query sets spanning three corpora---one enterprise crawl, and the WT10g and VLC2 Web test collections.We found that, in optimal conditions, all of the query-independent methods studied (in-degree, URL-type, and two variants of PageRank) offered a better than random improvement on a content-only baseline. However, only URL-type offered a better than random improvement on an anchor text baseline. In realistic settings, for either baseline, only URL-type offered consistent gains. In combination with URL-type the anchor text baseline was more useful for finding popular home pages, but URL-type with content was more useful for finding randomly selected home pages. We conclude that a general home page finding system should combine evidence from document content, anchor text, and URL-type classification.

Hyperlink

PageRank

Baseline (sea)

Popularity

Backlink

10.1145/858476.858479

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Citations (77)

Toward better weighting of anchors

David Hawking Trystan Upstill Nick Craswell

Okapi BM25 scoring of anchor text surrogate documents has been shown to facilitate effective ranking in navigational search tasks over web data. We hypothesize that even better ranking can be achieved in certain important cases, particularly when anchor scores must be fused with content scores, by avoiding length normalisation and by reducing the attentuation of scores associated with high tf. Preliminary results are presented.

10.1145/1008992.1009096

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Citations (28)

Buying bestsellers online: A case study in Search & Searchability.

Australasian Document Computing Symposium (2002)

Trystan Upstill Nick Craswell David Hawking

A website’s design directly affects how well search engines can crawl, match and rank its pages. For this reason, searchability is an important concern in site design. We study the interaction between search engines and Web sites by means of a case study of online bookstores and general-purpose search engines. The task modelled is that of finding web pages from which a book, described by its title, may be purchased. We first compared the relative effectiveness of search engines in finding pages matching the criterion, regardless of bookstore. Then we compared the relative searchability of the bookstore websites by observing how many times each bookstore contributed useful answers to the search results. Large differences in the performance of both search engines and bookstores were observed. Two of the search engines performed better than their peers, and one bookstore was far more searchable than all others. To further explore these differences we tabulate the total number of pages from each bookshop which are included in the search engine indexes. We conclude with recommendations both to bookstores on how they may improve their Web presence, and to search engines on how they may improve their performance for product searches.

Organic search

Search engine optimization

Spamdexing

Rank (graph theory)

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Citations (13)

Document ranking using web evidence

Trystan Upstill

10.25911/5d626d4ac56b6

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Citations (9)

How valuable is external link evidence when searching enterprise Webs

Australasian Database Conference (2004)

David Hawking Francis Crimmins Nick Craswell Trystan Upstill

Link information, especially anchor text, is known to be very useful for effective ranking of web pages, particularly in response to navigational queries. We investigated whether enterprise webs contain sufficient internal link information to adequately answer queries derived from the enterprise's site map or, alternatively, whether adding link evidence from the external Web can boost search effectiveness. Using 1266 navigational queries derived from Stanford University's A-Z site index, we found no difference between the quality of results returned by Stanford's Google appliance and those from an appropriately site-restricted search of the global Google service. Applying similar methodology to our own crawls of seven Australian organisations, we found that adding external link evidence made no significant difference to search effectiveness in five cases and a slight difference (in different directions) in the other two. We observed that external links to an organisation show very different patterns to internal links. Unlike enterprise web publishers, external web authors heavily favour directory default pages, particularly the organisation's home page and pages offering information or services likely to be useful on an ongoing basis. External links seldom reference the complex, parameterised URLs in common use in many organisations.

Link (geometry)

HITS algorithm

Source

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Citations (19)

AI-ASSISTED GESTURE NAVIGATION FOR COMPUTING DEVICES

Maryam Karimzadehgan Trystan Upstill

Source

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Citations (0)

On-Device and System-Wide Audio Live Captioning with Language Translation

Brian Kemler Danielle Cohen Nadav Bar Yoni Tsafir Benny Schlesinger

Closed captioning

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Exploiting hyperlink recommendation evidence in navigational web search

Trystan Upstill Stephen Robertson

No abstract available.

Hyperlink

10.1145/1008992.1009128

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Citations (2)

Predicting Fame and Fortune: PageRank or Indegree?

Trystan Upstill Nick Craswell David Hawking

Measures based on the Link Recommendation Assumption are hypothesised to help modern Web search engines rank ‘important, high quality’ pages ahead of relevant but less valuable pages and to reject ‘spam’. We tested these hypotheses using inlink counts and PageRank scores readily obtainable from search engines Google and Fast. We found that the average Google-reported PageRank of websites operated by Fortune 500 companies was approximately one point higher than the average for a large selection of companies. The same was true for Fortune Most Admired companies. A substantially bigger difference was observed in favour of companies with famous brands. Investigating less desirable biases, we found a one point bias toward technology companies, and a two point bias in favour of IT companies listed in the Wired 40. We found negligible bias in favour of US companies. Log of indegree was highly correlated with Google-reported PageRank scores, and just as effective when predicting desirable company attributes. Further, we found that PageRank scores for sites within a known spam network were no lower than would be expected on the basis of their indegree. We encounter no compelling evidence to support the use of PageRank over indegree.

PageRank

Rank (graph theory)

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Citations (59)