The Wayback Machine - https://webcf.waybackmachine.org/web/20211010202531/https://dl.acm.org/toc/tois/2022/40/1
Bibliometrics
research-article
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation
January 2022, Article No.: 1, pp 1–33https://doi.org/10.1145/3457182

Traditionally, capsule wardrobes are manually designed by expert fashionistas through their creativity and technical prowess. The goal is to curate minimal fashion items that can be assembled into several compatible and versatile outfits. It is usually a ...

research-article
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
January 2022, Article No.: 2, pp 1–33https://doi.org/10.1145/3457533

Answer selection, which is involved in many natural language processing applications, such as dialog systems and question answering (QA), is an important yet challenging task in practice, since conventional methods typically suffer from the issues of ...

research-article
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation
January 2022, Article No.: 3, pp 1–27https://doi.org/10.1145/3457949

Group recommendation aims to recommend items to a group of users. In this work, we study group recommendation in a particular scenario, namely occasional group recommendation, where groups are formed ad hoc and users may just constitute a group for the ...

research-article
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems
January 2022, Article No.: 4, pp 1–22https://doi.org/10.1145/3458509

Recommendation systems are often evaluated based on user’s interactions that were collected from an existing, already deployed recommendation system. In this situation, users only provide feedback on the exposed items and they may not leave feedback on ...

research-article
Knowledge-Guided Disentangled Representation Learning for Recommender Systems
January 2022, Article No.: 6, pp 1–26https://doi.org/10.1145/3464304

In recommender systems, it is essential to understand the underlying factors that affect user-item interaction. Recently, several studies have utilized disentangled representation learning to discover such hidden factors from user-item interaction data, ...

research-article
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation
January 2022, Article No.: 7, pp 1–22https://doi.org/10.1145/3464300

Next Point-of-interest (POI) recommendation is a key task in improving location-related customer experiences and business operations, but yet remains challenging due to the substantial diversity of human activities and the sparsity of the check-in records ...

research-article
What and How long: Prediction of Mobile App Engagement
January 2022, Article No.: 8, pp 1–38https://doi.org/10.1145/3464301

User engagement is crucial to the long-term success of a mobile app. Several metrics, such as dwell time, have been used for measuring user engagement. However, how to effectively predict user engagement in the context of mobile apps is still an open ...

research-article
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey
January 2022, Article No.: 9, pp 1–44https://doi.org/10.1145/3464377

Incorporating external knowledge into dialogue generation has been proven to benefit the performance of an open-domain Dialogue System (DS), such as generating informative or stylized responses, controlling conversation topics. In this article, we study ...

research-article
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
January 2022, Article No.: 10, pp 1–22https://doi.org/10.1145/3467023

As the deep learning techniques have expanded to real-world recommendation tasks, many deep neural network based Collaborative Filtering (CF) models have been developed to project user-item interactions into latent feature space, based on various neural ...

research-article
Question Tagging via Graph-guided Ranking
January 2022, Article No.: 12, pp 1–23https://doi.org/10.1145/3468270

With the increasing prevalence of portable devices and the popularity of community Question Answering (cQA) sites, users can seamlessly post and answer many questions. To effectively organize the information for precise recommendation and easy searching, ...

research-article
Anytime Ranking on Document-Ordered Indexes
January 2022, Article No.: 13, pp 1–32https://doi.org/10.1145/3467890

Inverted indexes continue to be a mainstay of text search engines, allowing efficient querying of large document collections. While there are a number of possible organizations, document-ordered indexes are the most common, since they are amenable to ...

research-article
A Review on Question Generation from Natural Language Text
January 2022, Article No.: 14, pp 1–43https://doi.org/10.1145/3468889

Question generation is an important yet challenging problem in Artificial Intelligence (AI), which aims to generate natural and relevant questions from various input formats, e.g., natural language text, structure database, knowledge base, and image. In ...

research-article
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment
January 2022, Article No.: 15, pp 1–36https://doi.org/10.1145/3469654

The job interview is considered as one of the most essential tasks in talent recruitment, which forms a bridge between candidates and employers in fitting the right person for the right job. While substantial efforts have been made on improving the job ...

research-article
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation
January 2022, Article No.: 16, pp 1–29https://doi.org/10.1145/3469856

Domain adaptation aims at improving the performance of learning tasks in a target domain by leveraging the knowledge extracted from a source domain. To this end, one can perform knowledge transfer between these two domains. However, this problem becomes ...

research-article
User Profiling Based on Nonlinguistic Audio Data
January 2022, Article No.: 17, pp 1–23https://doi.org/10.1145/3474826

User profiling refers to inferring people’s attributes of interest (AoIs) like gender and occupation, which enables various applications ranging from personalized services to collective analyses. Massive nonlinguistic audio data brings a novel opportunity ...

research-article
Topic Difficulty: Collection and Query Formulation Effects
January 2022, Article No.: 19, pp 1–36https://doi.org/10.1145/3470563

Several recent studies have explored the interaction effects between topics, systems, corpora, and components when measuring retrieval effectiveness. However, all of these previous studies assume that a topic or information need is represented by a single ...

research-article
Multi-interest Diversification for End-to-end Sequential Recommendation
January 2022, Article No.: 20, pp 1–30https://doi.org/10.1145/3475768

Sequential recommenders capture dynamic aspects of users’ interests by modeling sequential behavior. Previous studies on sequential recommendations mostly aim to identify users’ main recent interests to optimize the recommendation accuracy; they often ...

Subjects

Recommender systemsData miningQuestion answeringCollaborative filteringEvaluation of retrieval resultsMobile information processing systemsNatural language generationRetrieval effectivenessRetrieval efficiencySearch engine architectures and scalabilitySpecialized information retrievalStructured text searchSurveys and overviewsTransfer learningUbiquitous and mobile computing systems and toolsUser characteristics

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