ADAPTIVE FILTERING TO ADJUST AUTOMATED SELECTION OF CONTENT USING WEIGHTINGS BASED ON CONTEXTUAL PARAMETERS OF A BROWSING SESSION

This disclosure provides examples of computer-implemented systems and processes for determining a user browsing session context, intent, or activity based on contextual information associated with a user's browsing session, and using this determined context as a basis to filter or improve selection of content items for the user. For example, if the user is building up a watch list (for example, discovering new titles), then it may be desirable to filter out items for recommendation which are already on that watch list. However, when the user is searching for something to watch in the current session (for example, consuming content), then it may be more appropriate to show items already added to the watch list as recommended content. Item recommendations can thus be improved or filtered based in part on parameters of the user's browsing activity with respect to content items.