NDLI: Web retrieval: the role of users ( SIGIR '11 )

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Future of the web and search

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Composite hashing with multiple information sources

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Cluster-based fusion of retrieved lists

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A unified framework for recommendations based on quaternary semantic analysis

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User behavior in zero-recall ecommerce queries

Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation

DOM based content extraction via text density

Unsupervised query segmentation using clickthrough for information retrieval

Exploiting geographical influence for collaborative point-of-interest recommendation

ViewSer: enabling large-scale remote user studies of web search examination and interaction

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Mining topics on participations for community discovery

Indexing strategies for graceful degradation of search quality

UPS: efficient privacy protection in personalized web search

Learning relevance from heterogeneous social network and its application in online targeting

Improving local search ranking through external logs

Automatic boolean query suggestion for professional search

A novel corpus-based stemming algorithm using co-occurrence statistics

Faster top-k document retrieval using block-max indexes

Associative tag recommendation exploiting multiple textual features

Pseudo test collections for learning web search ranking functions

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Web retrieval: the role of users

Modeling document scores for distributed information retrieval

Ad hoc IR: not much room for improvement

QuickView: advanced search of tweets

Information organization and retrieval with collaboratively generated content

Improving query and result list adaptation in personalized multilingual information retrieval

Image annotation based on recommendation model

Personalized video: leanback online video consumption

Using k-Top retrieved web snippets to date temporalimplicit queries based on web content analysis

Utilizing minimal relevance feedback for ad hoc retrieval

GreenMeter: a tool for assessing the quality and recommending tags for web 2.0 applications

Domain-specific information retrieval using rcommenders

Sense discrimination for physics retrieval

JuSe: a picture dictionary query system for children

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Multidimensional search result diversification: diverse search results for diverse users

Location and timeliness of information sources during news events

The Meta-Dex Suite: generating and analyzing indexes and meta-indexes

What deliberately degrading search quality tells us about discount functions

Tulsa: web search for writing assistance

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The TREC files: the (ground) truth is out there

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Cognitive coordinating behaviors in multitasking web search

Optimizing multimodal reranking for web image search

Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce

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Bootstrapping subjectivity detection

The effects of choice in routing relevance judgments

Statistical feature extraction for cross-language web content quality assessment

Exploiting endorsement information and social influence for item recommendation

Modeling subset distributions for verbose queries

Domain expert topic familiarity and search behavior

Sample selection for dictionary-based corpus compression

Evaluating medical information retrieval

Region-based landmark discovery by crowdsourcing geo-referenced photos

Towards effective short text deep classification

Temporal latent semantic analysis for collaboratively generated content: preliminary results

Self-adjusting hybrid recommenders based on social network analysis

BlogCast effect on information diffusion in a blogosphere

Product comparison using comparative relations

Collaborative cyberporn filtering with collective intelligence

Do IR models satisfy the TDC retrieval constraint

On diversifying and personalizing web search

Semantic tag recommendation using concept model

Recommending interesting activity-related local entities

Cross-corpus relevance projection

Location disambiguation for geo-tagged images

Towards an indexing method to speed-up music retrieval

An investigation of decompounding for cross-language patent search

Detecting seasonal queries by time-series analysis

Learning to rank under tight budget constraints

A novel hybrid index structure for efficient text retrieval

A weighted curve fitting method for result merging in federated search

Effect of different docid orderings on dynamic pruning retrieval strategies

Time-based query performance predictors

Search task difficulty: the expected vs. the reflected

On the suitability of diversity metrics for learning-to-rank for diversity

How diverse are web search results?

Analysis of an expert search query log

A model for expert finding in social networks

Transductive learning over automatically detected themes for multi-document summarization

Rating-based collaborative filtering combined with additional regularization

Words-of-interest selection based on temporal motion coherence for video retrieval

Aggregating multiple opinion evidence in proximity-based opinion retrieval

Enhancing mobile search using web search log data

Award prediction with temporal citation network analysis

Rating prediction using feature words extracted from customer reviews

Ranking tags in resource collections

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Intent-oriented diversity in recommender systems

Disambiguating biomedical acronyms using EMIM

Best document selection based on approximate utility optimization

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Knowledge effects on document selection in search results pages

Learning to rank from a noisy crowd

How to count thumb-ups and thumb-downs?: an information retrieval approach to user-rating based ranking of items

Predicting users' domain knowledge from search behaviors

The interactive PRP for diversifying document rankings

Detecting success in mobile search from interaction

Measuring assessor accuracy: a comparison of nist assessors and user study participants

A bipartite graph based social network splicing method for person name disambiguation

Link formation analysis in microblogs

Evolution of web search results within years

Decayed DivRank: capturing relevance, diversity and prestige in information networks

Multi-objective optimization in learning to rank

A large-scale study of the effect of training set characteristics over learning-to-rank algorithms

Exploring term temporality for pseudo-relevance feedback

MSSF: a multi-document summarization framework based on submodularity

SEJoin: an optimized algorithm towards efficient approximate string searches

Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval

Query term ranking based on search results overlap

Tossing coins to trim long queries

A comparison of time-aware ranking methods

Learning for graphs with annotated edges

Formulating effective questions for community-based question answering

Web retrieval: the role of users ( SIGIR '11 )

Content Provider	ACM Digital Library
Author	Baeza-Yates, Ricardo Maarek, Yoelle
Abstract	Web retrieval methods have evolved through three major steps in the last decade or so. They started from standard document-centric IR in the early days of the Web, then made a major step forward by leveraging the structure of the Web, using link analysis techniques in both crawling and ranking challenges. A more recent, no less important but maybe more discrete step forward, has been to enter the user in this equation in two ways: (1) Implicitly, through the analysis of usage data captured by query logs, and session and click information in general; the goal here being to improve ranking as well as to measure user's happiness and engagement; (2) Explicitly, by offering novel interactive features; the goal here being to better answer users' needs. This half day tutorial covers the user-related challenges associated with the implicit and explicit role of users in Web retrieval. More specifically, we review and discuss challenges associated with: (1) Usage data analysis and metrics - It is critical to monitor how users take advantage and interact with Web retrieval systems, as this implicit relevant feedback aggregated at a large scale, can provide insights on users' underlying intent as well as approximate quite accurately the level of success of a given feature. Here we have to consider not only clicks statistics, the sequences of queries, the time spent in a page, the number of actions per session, etc. This is the focus of the first part of the tutorial. (2) User interaction - Given the intrinsic problems posed by the Web, the key challenge for the user is to conceive a good query to be submitted to the search system, one that leads to a manageable and relevant answer. The retrieval system must assist users during two key stages of interaction: efore the query is fully expressed and after the results are returned. After quite some stagnation on the front-end of Web retrieval, we have seen numerous novel interactive features appear in the last 3 to 4 years, as the leading commercial search engines seem to compete for users' attention. The second part of the tutorial will be dedicated to explicit user interaction. We will introduce novel material (as compared to previous versions of this tutorial that were given at SIGIR'2010, WSDM'2011 and ECIR'2011) in order to reflect recent Web search features such as Google Instant or Yahoo! Direct Search. The goal of this tutorial is to teach the key principles and technologies behind the activities and challenges briefly outlined above, bring new understanding and insights to the attendees, and hopefully foster future research. A previous version of this tutorial was offered at the ACM SIGIR'2010, WSDM'2011 and ECIR'2011.
Starting Page	1303
Ending Page	1304
Page Count	2
File Format	PDF
ISBN	9781450307574
DOI	10.1145/2009916.2010172
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-07-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Web retrieval User interaction
Content Type	Text
Resource Type	Article

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