NDLI: Searchable web sites recommendation

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Crowdsourcing for search and data mining

Crowdsourcing 101: putting the WSDM of crowds to work for you

Exploiting statistical and relational information on the web and in social media

Mining billion-node graphs: patterns, generators and tools

Who uses web search for what: and how

#TwitterSearch: a comparison of microblog search and web search

A comparative analysis of cascade measures for novelty and diversity

Bing dialog model: intent, knowledge and user interaction

We feel fine and searching the emotional web

Efficient indexing of repeated n-grams

Understanding temporal query dynamics

Dynamic relationship and event discovery

Dynamic ranked retrieval

Recommender systems with social regularization

Topical semantics of twitter links

Transient crowd discovery on the real-time social web

User modeling for web applications

Introduction to display advertising: a half-day tutorial

Web retrieval: the role of users

Personalizing web search using long term browsing history

Identifying topical authorities in microblogs

Understanding and predicting personal navigation

On the selection of tags for tag clouds

Batch query processing for web search engines

Patterns of temporal variation in online media

Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited

Optimizing two-dimensional search results presentation

Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms

Evaluating the visual quality of web pages using a computational aesthetic approach

Adaptive bootstrapping of recommender systems using decision trees

Correcting for missing data in information cascades

Quality-biased ranking of web documents

Detecting duplicate web documents using clickthrough data

Using graded-relevance metrics for evaluating community QA answer selection

Scalable knowledge harvesting with high precision and high recall

Result enrichment in commerce search using browse trails

Efficient online ad serving in a display advertising exchange

Clustering product features for opinion mining

Predicting future reviews: sentiment analysis models for collaborative filtering

Everyone's an influencer: quantifying influence on twitter

Ranking from pairs and triplets: information quality, evaluation methods and query complexity

KMV-peer: a robust and adaptive peer-selection algorithm

Mining social images with distance metric learning for automated image tagging

Mining named entities with temporally correlated bursts from multilingual web news streams

Identifying task-based sessions in search engine query logs

Trend analysis model: trend consists of temporal words, topics, and timestamps

Materializing multi-relational databases from the web using taxonomic queries

Learning similarity function for rare queries

What blogs tell us about websites: a demographics study

A two-view learning approach for image tag ranking

Cross lingual text classification by mining multilingual topics from wikipedia

Supervised random walks: predicting and recommending links in social networks

Multidimensional mining of large-scale search logs: a topic-concept cube approach

OOLAM: an opinion oriented link analysis model for influence persona discovery

Optimizing merchant revenue with rebates

eBay: an E-commerce marketplace as a complex network

Searchable web sites recommendation

A framework for quantitative analysis of cascades on networks

Inferring search behaviors using partially observable markov model with duration (POMD)

Scalable clustering of news search results

Learning website hierarchies for keyword enrichment in contextual advertising

Large-scale hierarchical text classification without labelled data

Action prediction and identification from mining temporal user behaviors

Low-order tensor decompositions for social tagging recommendation

Collective extraction from heterogeneous web lists

Shopping for products you don't know you need

CMAP: effective fusion of quality and relevance for multi-criteria recommendation

On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals

CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise

Stochastic query covering

Multi-dimensional search result diversification

Learning to re-rank web search results with multiple pairwise features

Improving social bookmark search using personalised latent variable language models

The tube over time: characterizing popularity growth of youtube videos

Strength of social influence in trust networks in product review sites

Citation recommendation without author supervision

A combined topical/non-topical approach to identifying web sites for children

Query suggestion for E-commerce sites

Bid generation for advanced match in sponsored search

An algorithmic treatment of strong queries

Let web spammers expose themselves

Enhanced email spam filtering through combining similarity graphs

Efficient entity resolution for large heterogeneous information spaces

LambdaMerge: merging the results of query reformulations

Web-scale table census and classification

Normalizing web product attributes and discovering domain ontology with minimal effort

A probabilistic approach for learning folksonomies from structured data

Aspect and sentiment unification model for online review analysis

Linking online news and social media

Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality

Document assignment in multi-site search engines

Searchable web sites recommendation

Content Provider	ACM Digital Library
Author	Song, Yang He, Li-wei Imig, Scott Rounthwaite, Robert Nguyen, Nam
Abstract	In this paper, we propose a new framework for searchable web sites recommendation. Given a query, our system will recommend a list of searchable web sites ranked by relevance, which can be used to complement the web page results and ads from a search engine. We model the conditional probability of a searchable web site being relevant to a given query in term of three main components: the language model of the query, the language model of the content within the web site, and the reputation of the web site searching capability (static rank). The language models for queries and searchable sites are built using information mined from client-side browsing logs. The static rank for each searchable site leverages features extracted from these client-side logs such as number of queries that are submitted to this site, and features extracted from general search engines such as the number of web pages that indexed for this site, number of clicks per query, and the dwell-time that a user spends on the search result page and on the clicked result web pages. We also learn a weight for each kind of feature to optimize the ranking performance. In our experiment, we discover 10.5 thousand searchable sites and use 5 million unique queries, extracted from one week of log data to build and demonstrate the effectiveness of our searchable web site recommendation system.
Starting Page	405
Ending Page	414
Page Count	10
File Format	PDF
ISBN	9781450304931
DOI	10.1145/1935826.1935890
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-02-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Vertical search engines
Content Type	Text
Resource Type	Article

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