… of our approach for the cold-start problem of tag recommendation. … Unsupervised tagging
integral to the open nature of … For our tag recommendation task, the inputs are tags, items and …

… This is also known as the cold start problem. Previously, … In Table 11, we illustrate the
recommended items of the … We observe that most tags are related to the player, genre, or country …

… the rating data with category preference and item popularity. Then, we computed the score
… accuracy than the reference algorithm and can be used for personalized recommendations. …

… based on information such as clicks and tags, much less … included in the set of synopses on
items, we 1) use a named … of multimedia items, which considers reviews, popularity of actors, …

Overwhelming evidence shows the quality of reporting of randomised controlled trials (RCTs)
is not optimal. Without transparent reporting, readers cannot judge the reliability and …

… challenges, such as data sparsity and cold start. In recent years, … relations for
recommendation)[30],CTK(combining tag and … Efficient top-n recommendation for very large scale …

… the country, but hats made in Hue are most famous as they have a poem embroiled on the
inside. Non (conical hats) are favorite items for women in both rainy and sunny times. The …

… 其中, 文献[56] 用k-means 生成伪标签; 基于伪标签的无监督深度哈希(unsupervised deep
hashing with pseudo labels, UDPH)[57]用 CCA-ITQ[6]生成伪标签, 并基于Sigmoid 函数进行实值…

… global and 41 regional LC products. Characteristics related to … statistics between map and
reference labels for NLCD 2011, … a continent-by-continent unsupervised classification of 1 km …

… were asked to rate 3009 items (ie, commonsense assertions) … affective commonsense
knowledge through label sequential rules, crowd … [24−25] used unsupervised methods to elicit …