Information Systems (TOIS)


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ACM Transactions on Information Systems (TOIS), Volume 36 Issue 1, August 2017

Comparing the Archival Rate of Arabic, English, Danish, and Korean Language Web Pages
Lulwah M. Alkwai, Michael L. Nelson, Michele C. Weigle
Article No.: 1
DOI: 10.1145/3041656

It has long been suspected that web archives and search engines favor Western and English language webpages. In this article, we quantitatively explore how well indexed and archived Arabic language webpages are as compared to those from other...

Clustered Elias-Fano Indexes
Giulio Ermanno Pibiri, Rossano Venturini
Article No.: 2
DOI: 10.1145/3052773

State-of-the-art encoders for inverted indexes compress each posting list individually. Encoding clusters of posting lists offers the possibility of reducing the redundancy of the lists while maintaining a noticeable query processing...

GVoS: A General System for Near-Duplicate Video-Related Applications on Storm
Jiawei Jiang, Yunhai Tong, Hua Lu, Bin Cui, Kai Lei, Lele Yu
Article No.: 3
DOI: 10.1145/3041657

The exponential increase of online videos greatly enriches the life of users but also brings huge numbers of near-duplicate videos (NDVs) that seriously challenge the video websites. The video websites entail NDV-related applications such as...

Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency
Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua
Article No.: 4
DOI: 10.1145/3052774

Event-based social networking services, such as Meetup, are capable of linking online virtual interactions to offline physical activities. Compared to mono online social networking services (e.g., Twitter and Google+), such dual networks provide a...

IDF for Word N-grams
Masumi Shirakawa, Takahiro Hara, Shojiro Nishio
Article No.: 5
DOI: 10.1145/3052775

Inverse Document Frequency (IDF) is widely accepted term weighting scheme whose robustness is supported by many theoretical justifications. However, applying IDF to word N-grams (or simply N-grams) of any length without relying on heuristics has...

SWIM: Stepped Weighted Shell Decomposition Influence Maximization for Large-Scale Networks
Ali Vardasbi, Heshaam Faili, Masoud Asadpour
Article No.: 6
DOI: 10.1145/3072652

A considerable amount of research has been devoted to the proposition of scalable algorithms for influence maximization. A number of such scalable algorithms exploit the community structure of the network. Besides the community structure,...

Yum-Me: A Personalized Nutrient-Based Meal Recommender System
Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, John P. Pollak, Nicola Dell, Serge Belongie, Curtis Cole, Deborah Estrin
Article No.: 7
DOI: 10.1145/3072614

Nutrient-based meal recommendations have the potential to help individuals prevent or manage conditions such as diabetes and obesity. However, learning people’s food preferences and making recommendations that simultaneously appeal to their...

Search Result Diversification in Short Text Streams
Shangsong Liang, Emine Yilmaz, Hong Shen, Maarten De Rijke, W. Bruce Croft
Article No.: 8
DOI: 10.1145/3057282

We consider the problem of search result diversification for streams of short texts. Diversifying search results in short text streams is more challenging than in the case of long documents, as it is difficult to capture the latent topics of short...

Learning to Align Comments to News Topics
Lei Hou, Juanzi Li, Xiao-Li Li, Jie Tang, Xiaofei Guo
Article No.: 9
DOI: 10.1145/3072591

With the rapid proliferation of social media, increasingly more people express their opinions and reviews (user-generated content (UGC)) on recent news articles through various online services, such as news portals, forums, discussion groups, and...

Inferring Dynamic User Interests in Streams of Short Texts for User Clustering
Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten De Rijke
Article No.: 10
DOI: 10.1145/3072606

User clustering has been studied from different angles. In order to identify shared interests, behavior-based methods consider similar browsing or search patterns of users, whereas content-based methods use information from the contents of the...