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 Yi Chang

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Average citations per article6.81
Citation Count552
Publication count81
Publication years2008-2017
Available for download69
Average downloads per article405.16
Downloads (cumulative)27,956
Downloads (12 Months)4,529
Downloads (6 Weeks)369
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81 results found Export Results: bibtexendnoteacmrefcsv

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1
April 2017 WWW '17: Proceedings of the 26th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 11,   Downloads (12 Months): 107,   Downloads (Overall): 107

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Contextual data plays an important role in modeling search engine users' behaviors on both query auto-completion (QAC) log and normal query (click) log. User's recent search history on each log has been widely studied individually as the context to benefit the modeling of users' behaviors on that log. However, there ...
Keywords: context, latent dirichlet allocation, query auto-completion

2
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 11,   Downloads (12 Months): 81,   Downloads (Overall): 81

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Understanding how users' search behavior is influenced by real world events is important both for social science research and for designing better search engines for users. In this paper, we study how to model the influence of events on user queries by framing it as a novel data mining problem. ...
Keywords: query log mining, search behavior, trending events, influence modeling

3 published by ACM
October 2016 CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 12,   Downloads (12 Months): 174,   Downloads (Overall): 266

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It is widely known that there exists a semantic gap between web documents and user queries and bridging this gap is crucial to advance information retrieval systems. The task of query rewriting, aiming to alter a given query to a rewrite query that can close the gap and improve information ...
Keywords: learning to rewrite, query rewriting, relevance

4 published by ACM
August 2016 ACM Computing Surveys (CSUR): Volume 49 Issue 3, December 2016
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 23,   Downloads (12 Months): 537,   Downloads (Overall): 1,161

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Many real-world relations can be represented by signed networks with positive and negative links, as a result of which signed network analysis has attracted increasing attention from multiple disciplines. With the increasing prevalence of social media networks, signed network analysis has evolved from developing and measuring theories to mining tasks. ...
Keywords: signed network mining, signed networks, Negative links, social media

5 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 12,   Downloads (12 Months): 232,   Downloads (Overall): 426

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Search engines play a crucial role in our daily lives. Relevance is the core problem of a commercial search engine. It has attracted thousands of researchers from both academia and industry and has been studied for decades. Relevance in a modern search engine has gone far beyond text matching, and ...
Keywords: deep learning, semantic matching, learning to rank, query rewriting

6 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 14,   Downloads (12 Months): 246,   Downloads (Overall): 334

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Data of many problems in real-world systems such as link prediction and one-class recommendation share common characteristics. First, data are in the form of positive unlabeled (PU) measurements (e.g. Twitter "following", Facebook "like", etc.) that do not provide negative information, which can be naturally represented as networks. Second, in the ...
Keywords: dynamic network, continuous time, online learning, PU learning, streaming link prediction, streaming recommendation

7 published by ACM
July 2016 SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 11,   Downloads (12 Months): 129,   Downloads (Overall): 250

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User interfaces for web image search engine results differ significantly from interfaces for traditional (text) web search results, supporting a richer interaction. In particular, users can see an enlarged image preview by hovering over a result image, and an `image preview' page allows users to browse further enlarged versions of ...
Keywords: ranking, web image search, user behavior

8 published by ACM
July 2016 SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 21,   Downloads (12 Months): 263,   Downloads (Overall): 877

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Click-through logs over query-document pairs provide rich and valuable information for multiple tasks in information retrieval. This paper proposes a vector propagation algorithm on the click graph to learn vector representations for both queries and documents in the same semantic space. The proposed approach incorporates both click and content information, ...
Keywords: click-through bipartite graph, query-document relevance, web search, vector generation, vector propagation

9
April 2016 WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 6,   Downloads (12 Months): 86,   Downloads (Overall): 127

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We study the new mobile query auto-completion (QAC) problem to exploit mobile devices' exclusive signals, such as those related to mobile applications (apps). We propose AppAware, a novel QAC model using installed app and recently opened app signals to suggest queries for matching input prefixes on mobile devices. To overcome ...
Keywords: mobile application, mobile device, query auto-completion

10
April 2016 WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 9,   Downloads (12 Months): 48,   Downloads (Overall): 139

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Search tasks in users' query sequences are dynamic and interconnected. The formulation of search tasks can be influenced by multiple latent factors such as user characteristics, product features and search interactions, which makes search task identification a challenging problem. In this paper, we propose an unsupervised approach to identify search ...
Keywords: Markov model, search behavior, search task identification

11
April 2016 WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 54,   Downloads (12 Months): 490,   Downloads (Overall): 712

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Detection of abusive language in user generated online content has become an issue of increasing importance in recent years. Most current commercial methods make use of blacklists and regular expressions, however these measures fall short when contending with more subtle, less ham-fisted examples of hate speech. In this work, we ...
Keywords: natural language processing, nlp, discourse classification, hate speech, stylistic classification, abusive language

12
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 3

The pervasive presence of social media greatly enriches online users' social activities, resulting in abundant social relations. Social relations provide an independent source for recommendation, bringing about new opportunities for recommender systems. Exploiting social relations to improve recommendation performance attracts a great amount of attention in recent years. Most existing ...

13 published by ACM
February 2016 WSDM '16: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 14,   Downloads (12 Months): 262,   Downloads (Overall): 1,847

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Modern search engines aggregate results from different verticals: webpages, news, images, video, shopping, knowledge cards, local maps, etc. Unlike "ten blue links", these search results are heterogeneous in nature and not even arranged in a list on the page. This revolution directly challenges the conventional "ranked list" formulation in ad ...
Keywords: user feedback, federated search, whole-page presentation

14 published by ACM
February 2016 WSDM '16: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 67,   Downloads (Overall): 191

Full text available: PDFPDF
Keywords: spelling correction, mobile search, query auto completion, query reformulation, query understanding

15
November 2015 Neurocomputing: Volume 168 Issue C, November 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

We consider the problem of identifying primary categories of a business listing among the categories provided by the owner of the business, in order to enhance local search and browsing. The category information submitted by business owners cannot be trusted with absolute certainty since they may purposefully add some secondary ...
Keywords: Text categorization, Ranking relevance, Primary category, Vertical search

16
October 2015 Neurocomputing: Volume 166 Issue C, October 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

Entity ranking is a recent paradigm that refers to retrieving and ranking related objects and entities from different structured sources in various scenarios. Entities typically have associated categories and relationships with other entities. In this work, we present an extensive analysis of Web-scale entity ranking, based on machine learned ranking ...
Keywords: Entity ranking, Semantic search, Structured data, Object ranking

17 published by ACM
October 2015 CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 42,   Downloads (Overall): 320

Full text available: PDFPDF
Entities (e.g., person, movie or place) play an important role in real-world applications and learning entity types has attracted much attention in recent years. Most conventional automatic techniques use large corpora, such as news articles, to learn types of entities. However, such text corpora focus on general knowledge about entities ...
Keywords: entity, graph, query

18 published by ACM
August 2015 SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 7,   Downloads (12 Months): 61,   Downloads (Overall): 385

Full text available: PDFPDF
Query auto-completion (QAC) facilitates user query composition by suggesting queries given query prefix inputs. In 2014, global users of Yahoo! Search saved more than 50% keystrokes when submitting English queries by selecting suggestions of QAC. Users' preference of queries can be inferred during user-QAC interactions, such as dwelling on suggestion ...
Keywords: implicit negative feedback, query auto-completion

19 published by ACM
August 2015 SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 7,   Downloads (12 Months): 81,   Downloads (Overall): 560

Full text available: PDFPDF
Query auto-completion (QAC) plays an important role in assisting users typing less while submitting a query. The QAC engine generally offers a list of suggested queries that start with a user's input as a prefix, and the list of suggestions is changed to match the updated input after the user ...
Keywords: hidden markov model, query auto-completion, variational inference

20 published by ACM
August 2015 SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 7,   Downloads (12 Months): 46,   Downloads (Overall): 186

Full text available: PDFPDF
Web search relevance is a billion dollar challenge, while there is a disadvantage of backwardness in web search competition. Vertical search result can be incorporated to enrich web search content, therefore vertical search relevance is critical to provide differentiated search results. Machine learning based ranking algorithms have shown their effectiveness ...
Keywords: search relevance



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