Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems

Unaccusative and Unergative Verb Acquisition: Effects of Implicit, Explicit, and Mixed Oral Corrective Feedback

The Long-Term Effect of Implicit and Explicit Corrective Feedback on Accuracy of EFL Learners’ Descriptive Writing Skill

Since the emergence of the process-oriented approach to second language writing instruction two main questions have been what and how error feedback should be given to the students. The question of whether teachers should provide feedback on grammar in the writing assignments of English as a foreign language students, and if so how, has been a matter of considerable debate in the field of secon...

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback

Collaborative Filtering with Implicit Feedbacks (e.g., browsing or clicking records), named as CF-IF, is demonstrated to be an effective way in recommender systems. Existing works of CF-IF can be mainly classified into two categories, i.e., point-wise regression based and pairwise ranking based, where the latter one relaxes assumption and usually obtains better performance in empirical studies....

The Effects of Direct Corrective Feedback and Metalinguistic Explanation on EFL Learners’ Implicit and Explicit Knowledge of English Definite and Indefinite Articles

This study investigated the effects of two types of written feedback – direct corrective feedback (DCF) and metalinguistic explanation (ME) - on Iranian EFL learners’ implicit and explicit knowledge of English definite and indefinite articles. Assigned to three groups of DCF, ME, and control groups, the participants took four tests in three testing phases: pretest, posttest, and delayed posttes...

SQL-Rank: A Listwise Approach to Collaborative Ranking

In this paper, we propose a listwise approach for constructing user-specific rankings in recommendation systems in a collaborative fashion. We contrast the listwise approach to previous pointwise and pairwise approaches, which are based on treating either each rating or each pairwise comparison as an independent instance respectively. By extending the work of (Cao et al., 2007), we cast listwis...